WO2024234365A1

WO2024234365A1 - User equipment (ue) for measurement fusion in multi-target sensing

Info

Publication number: WO2024234365A1
Application number: PCT/CN2023/094983
Authority: WO
Inventors: Mingxi YIN; Min Huang; Chao Wei; Jing Dai; Hao Xu
Original assignee: Qualcomm Inc
Current assignee: Qualcomm Inc
Priority date: 2023-05-18
Filing date: 2023-05-18
Publication date: 2024-11-21
Anticipated expiration: 2025-11-18

Abstract

Disclosed are systems, apparatuses, processes, and computer-readable media for wireless communications. For example, a first network device can measure a plurality of distances and a plurality of angles for a plurality of targets based on reflected sensing signals from the plurality of targets. The first network device can determine a plurality of matching weights for a plurality of distance-angle pairs. Each distance-angle pair of the plurality of distance-angle pairs can include a respective distance of the plurality of distances and a respective angle of the plurality of angles for the plurality of targets. Each distance of the plurality of distances can be matched with a respective angle of the plurality of angles as belonging to a respective target of the plurality of targets based on the plurality of matching weights.

Description

USER EQUIPMENT (UE) FOR MEASUREMENT FUSION IN MULTI-TARGET SENSING

FIELD OF THE DISCLOSURE

The present disclosure generally relates to scheduling and/or processing sensing and communication signals for joint communications and sensing. For example, aspects of the present disclosure relate to providing user equipment (UE) for measurement fusion in multi-target sensing.

BACKGROUND OF THE DISCLOSURE

Wireless communications systems are widely deployed to provide various types of communication content, such as voice, video, packet data, messaging, and broadcast. These systems may be capable of supporting communication with multiple users by sharing the available system resources (e.g., time, frequency, and power) . Examples of such multiple-access systems include fourth generation (4G) systems such as Long Term Evolution (LTE) systems, LTE-Advanced (LTE-A) systems, or LTE-A Pro systems, and fifth generation (5G) systems which may be referred to as New Radio (NR) systems. These systems may employ technologies such as code division multiple access (CDMA) , time division multiple access (TDMA) , frequency division multiple access (FDMA) , orthogonal FDMA (OFDMA) , or discrete Fourier transform spread orthogonal frequency division multiplexing (DFT-S-OFDM) . A wireless multiple-access communications system may include one or more base stations or one or more network access nodes, each simultaneously supporting communication for multiple communication devices, which may be otherwise known as UE. Some wireless communications systems may support communications between UEs, which may involve direct transmissions between two or more UEs.

Due to larger bandwidths being allocated for wireless cellular communications systems (e.g., including 5G and 5G beyond) and more use cases being introduced into the cellular communications systems, multiplexing sensing and communication signals for joint communications and sensing can be an essential feature for existing or future wireless communication systems, such as to enhance the overall spectral efficiency of the wireless communication networks.

SUMMARY

The following presents a simplified summary relating to one or more aspects disclosed herein. Thus, the following summary should not be considered an extensive overview relating to all contemplated aspects, nor should the following summary be considered to identify key or critical elements relating to all contemplated aspects or to delineate the scope associated with any particular aspect. Accordingly, the following summary has the sole purpose to present certain concepts relating to one or more aspects relating to the mechanisms disclosed herein in a simplified form to precede the detailed description presented below.

Systems and techniques are described for wireless communications. According to at least one example, a first network device for wireless communications is provided. The first network device includes at least one memory and at least one processor coupled to the at least one memory and configured to: measure a plurality of distances and a plurality of angles for a plurality of targets based on reflected sensing signals from the plurality of targets; and determine a plurality of matching weights for a plurality of distance-angle pairs, each distance-angle pair of the plurality of distance-angle pairs comprising a respective distance of the plurality of distances and a respective angle of the plurality of angles for the plurality of targets, wherein each distance of the plurality of distances is matched with a respective angle of the plurality of angles as belonging to a respective target of the plurality of targets based on the plurality of matching weights.

In another illustrative example, a method is provided for wireless communications at a first network device. The method includes: measuring, by the first network device, a plurality of distances and a plurality of angles for a plurality of targets based on reflected sensing signals from the plurality of targets; and determining, by the first network device, a plurality of matching weights for a plurality of distance-angle pairs, each distance-angle pair of the plurality of distance-angle pairs comprising a respective distance of the plurality of distances and a respective angle of the plurality of angles for the plurality of targets, wherein each distance of the plurality of distances is matched with a respective angle of the plurality of angles as belonging to a respective target of the plurality of targets based on the plurality of matching weights.

In another illustrative example, a non-transitory computer-readable storage medium of a first network device is provided that includes instructions stored thereon which, when executed by at least one processor, causes the at least one processor to: measure a plurality of distances and a plurality of angles for a plurality of targets based on reflected sensing signals from the plurality of targets; and determine a plurality of matching weights for a plurality of distance-angle pairs, each distance-angle pair of the plurality of distance-angle pairs comprising a respective distance of the plurality of distances and a respective angle of the plurality of angles for the plurality of targets, wherein each distance of the plurality of distances is matched with a respective angle of the plurality of angles as belonging to a respective target of the plurality of targets based on the plurality of matching weights.

In another illustrative example, an apparatus for wireless communications is provided. The apparatus includes: means for measuring a plurality of distances and a plurality of angles for a plurality of targets based on reflected sensing signals from the plurality of targets; and means for determining a plurality of matching weights for a plurality of distance-angle pairs, each distance-angle pair of the plurality of distance-angle pairs comprising a respective distance of the plurality of distances and a respective angle of the plurality of angles for the plurality of targets, wherein each distance of the plurality of distances is matched with a respective angle of the plurality of angles as belonging to a respective target of the plurality of targets based on the plurality of matching weights

In another illustrative example, a first network device for wireless communications is provided. The first network device includes at least one memory and at least one processor coupled to the at least one memory and configured to: receive, from a plurality of second network devices, reports comprising measurements for a plurality of targets and a plurality of matching weights for the measurements; and determine a plurality of locations of the plurality of targets based on the plurality of matching weights and the measurements.

In another illustrative example, a method is provided for wireless communications at a first network device. The method includes: receiving, by the first network device from a plurality of second network devices, reports comprising measurements for a plurality of targets and a plurality of matching weights for the measurements; and determining, by the first network device, a plurality of locations of the plurality of targets based on the plurality of matching weights and the measurements.

In another illustrative example, a non-transitory computer-readable storage medium of a first network device is provided that includes instructions stored thereon which, when executed by at least one processor, causes the at least one processor to: receive, from a plurality of second network devices, reports comprising measurements for a plurality of targets and a plurality of matching weights for the measurements; and determine a plurality of locations of the plurality of targets based on the plurality of matching weights and the measurements.

In another illustrative example, an apparatus for wireless communications is provided. The apparatus includes: means for receiving, from a plurality of second network devices, reports comprising measurements for a plurality of targets and a plurality of matching weights for the measurements; and means for determining a plurality of locations of the plurality of targets based on the plurality of matching weights and the measurements.

In some aspects, one or more of the network devices, apparatus, or other devices described herein is, is part of, and/or includes a user equipment (UE) , a base station (e.g., a gNodeB (gNB) , an eNodeB (eNB) , etc. ) , or a portion of a base station (e.g., one or more of a central unit (CU) , a distributed unit (DU) , a radio unit (RU) , a Near-Real Time (Near-RT) RAN Intelligent Controller (RIC) , or a Non-Real Time (Non-RT) RIC of the base station) . The UE may be a wearable device, an extended reality (XR) device (e.g., a virtual reality (VR) device, an augmented reality (AR) device, or a mixed reality (MR) device) , a head-mounted display (HMD) device, a wireless communication device, a mobile device (e.g., a mobile telephone and/or mobile handset and/or so-called “smart phone” or other mobile device) , a camera, a personal computer, a laptop computer, a server computer, a vehicle or a computing device or component of a vehicle, another device, or a combination thereof. In some aspects, the one or more of the network devices, apparatus, or other devices may include a camera or multiple cameras for capturing one or more images. In some examples, the one or more of the network devices, apparatus, or other devices may further include a display for displaying one or more images, notifications, and/or other displayable data. In some cases, the one or more of the network devices, apparatus, or other devices may include one or more receivers, transmitters, or transceivers for receiving and/or transmitting wireless communications.

This summary is not intended to identify key or essential features of the claimed subject matter, nor is it intended to be used in isolation to determine the scope of the claimed subject matter. The subject matter should be understood by reference to appropriate portions of the entire specification of this patent, any or all drawings, and each claim.

The foregoing, together with other features and aspects, will become more apparent upon referring to the following specification, claims, and accompanying drawings.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings are presented to aid in the description of various aspects of the disclosure and are provided solely for illustration of the aspects and not limitation thereof.

FIG. 1 is a diagram illustrating an example wireless communications system, which may be employed by the disclosed systems and techniques for utilizing user equipment (UE) for measurement fusion in multi-target sensing, in accordance with some aspects of the present disclosure.

FIG. 2 is a diagram illustrating an example of a disaggregated base station architecture, which may be employed by the disclosed systems and techniques for utilizing UE for measurement fusion in multi-target sensing, in accordance with some aspects of the present disclosure.

FIG. 3 is a diagram illustrating an example of a frame structure, which may be employed by the disclosed systems and techniques for utilizing UE for measurement fusion in multi-target sensing, in accordance with some aspects of the present disclosure.

FIG. 4 is a block diagram illustrating an example of a computing system of an electronic device that may be employed by the disclosed systems and techniques for utilizing UE for measurement fusion in multi-target sensing, in accordance with some aspects of the present disclosure.

FIG. 5 is a diagram illustrating an example of a wireless device utilizing radio frequency (RF) monostatic sensing techniques, which may be employed by the disclosed systems and techniques described herein to determine one or more characteristics of a target object, in accordance with some aspects of the present disclosure.

FIG. 6 is a diagram illustrating an example of a receiver utilizing RF bistatic sensing techniques with one transmitter, which may be employed by the disclosed systems and techniques described herein to determine one or more characteristics of a target object, in accordance with some aspects of the present disclosure.

FIG. 7 is a diagram illustrating an example of a receiver utilizing RF bistatic sensing techniques with multiple transmitters, which may be employed by the disclosed systems and techniques described herein for utilizing UE for measurement fusion in multi-target sensing, in accordance with some aspects of the present disclosure.

FIG. 8 is a diagram illustrating an example geometry for bistatic (or monostatic) sensing, in accordance with some aspects of the present disclosure.

FIG. 9 is a diagram illustrating a bistatic range of bistatic sensing, in accordance with some aspects of the present disclosure.

FIG. 10 is a diagram illustrating an example of devices involved in wireless communications (e.g., sidelink communications) , in accordance with some aspects of the present disclosure.

FIG. 11 is a diagram illustrating examples of existing comb structures for reference signals.

FIG. 12 is a diagram illustrating an example of a system for utilizing UE for measurement fusion in multi-target sensing, where the system is performing bistatic sensing of a target, in accordance with some aspects of the present disclosure.

FIG. 13 is a diagram illustrating an example of a system performing bistatic sensing of a target, showing an example distance and angle for the target, in accordance with some aspects of the present disclosure.

FIG. 14 is a diagram illustrating an example of a processing flow for measuring a distance for a target, in accordance with some aspects of the present disclosure.

FIG. 15 is a diagram illustrating examples of measured distances for multi-targets, in accordance with some aspects of the present disclosure.

FIG. 16 is a diagram illustrating examples of measured angles for multi-targets, in accordance with some aspects of the present disclosure.

FIG. 17 is a diagram illustrating an example of a process for reporting measurements for multi-targets, in accordance with some aspects of the present disclosure.

FIG. 18 is a table illustrating an example of a matrix including matching weights for measured distances and angles for multi-targets, in accordance with some aspects of the present disclosure.

FIG. 19 is a diagram illustrating example signaling for utilizing UE for measurement fusion in multi-target sensing, in accordance with some aspects of the present disclosure.

FIG. 20 is a flow diagram illustrating an example of a process for wireless communications at a network device (e.g., a UE) , in accordance with some aspects of the present disclosure.

FIG. 21 is a flow diagram illustrating an example of a process for wireless communications at a network device (e.g., a base station, such as a gNB) , in accordance with some aspects of the present disclosure.

FIG. 22 is a block diagram illustrating an example of a computing system, which may be employed by the disclosed systems and techniques for utilizing UE for measurement fusion in multi-target sensing, in accordance with some aspects of the present disclosure.

DETAILED DESCRIPTION

Certain aspects of this disclosure are provided below for illustration purposes. Alternate aspects may be devised without departing from the scope of the disclosure. Additionally, well-known elements of the disclosure will not be described in detail or will be omitted so as not to obscure the relevant details of the disclosure. Some of the aspects described herein may be applied independently and some of them may be applied in combination as would be apparent to those of skill in the art. In the following description, for the purposes of explanation, specific details are set forth in order to provide a thorough understanding of aspects of the application. However, it will be apparent that various aspects may be practiced without these specific details. The figures and description are not intended to be restrictive.

The ensuing description provides example aspects, and is not intended to limit the scope, applicability, or configuration of the disclosure. Rather, the ensuing description of the example aspects will provide those skilled in the art with an enabling description for implementing an example aspect. It should be understood that various changes may be made in the function and arrangement of elements without departing from the scope of the application as set forth in the appended claims.

Radar sensing systems use radio frequency (RF) waveforms to perform RF sensing to determine or estimate one or more characteristics of a target object, such as the distance, angle, and/or velocity of the target object. A target object may include a vehicle, an obstruction, a user, a building, or other object. A typical radar system includes at least one transmitter, at least one receiver, and at least one processor. A radar sensing system may perform monostatic sensing when one receiver is employed that is co-located with a transmitter. A radar system may perform bistatic sensing when one receiver of a first device is employed that is located remote from a transmitter of a second device. Similarly, a radar system may perform multi-static sensing when multiple receivers of multiple devices are employed that are all located remotely from at least one transmitter of at least one device.

During operation of a radar sensing system, a transmitter transmits an electromagnetic (EM) signal in the RF domain towards a target object. The signal reflects off of the target object to produce one or more reflection signals, which provides information or properties regarding the target, such as target object’s location and speed. At least one receiver receives the one or more reflection signals and at least one processor, which may be associated with at least one receiver, utilizes the information from the one or more reflection signals to determine information or properties of the target object. A target object can also be referred herein as a target.

Generally, RF sensing involves monitoring moving targets with different motions (e.g., a moving car or pedestrian, a body motion of a person, such as breathing, and/or other micro-motions related to a target) . Doppler, which measures the phase variation in a signal and is indicative of motion, is an important characteristic for sensing of a target.

In some cases, the radar sensing signals, which can be referred to as radar reference signals (RSs) , such as sensing reference signals (S-RS) , may be designed for and used for sensing purposes. Radar RSs do not contain any communications information. Conversely, communication RSs, such as demodulation reference signals (DMRSs) , are typically designed for and solely used for communications purposes, such as estimating channel parameters for communications.

Cellular communications systems are designed to transmit communication signals on designated communication frequency bands (e.g., 23 gigahertz (GHz) , 3.5 GHz, etc. for 5G/NR, 2.2 GHz for LTE, among others) . RF sensing systems are designed to transmit RF sensing signals on designated radar RF frequency bands (e.g., 77 GHz for autonomous driving) . The spectrum for communications and sensing is very likely to be shared in future cellular communication systems, in which case the communications and sensing should be jointly considered.

In some cases, due to larger bandwidths being allocated for wireless communications systems (e.g., including cellular communications systems such as 4G/LTE, 5G/NR, and beyond) and more use cases being introduced into the wireless communications systems, joint communications and sensing (JCS) can be an essential feature for existing or future wireless communication systems. JCS can also be referred to as integrated sensing and communications (ISAC) . In the 3^rd Generation Partnership Project (3GPP) Release 18, for example, several companies have proposed to study “integrated RF sensing and communications. ” In 3GPP, some companies have already proposed study requirements and network architecture for ISAC systems. For 3GPP Release 19, it is expected that more companies will propose to study JCS or RF sensing in NR. In China, the China Communications Standards Association (CCSA) , for international mobile telecommunications (IMT) -2020 and IMT-2030, is promoting ISAC as a key technique for 5G-A and 6G. Simultaneously performing wireless communications and radar sensing can provide for a cost-efficient deployment for both radar and communication systems.

Some radar functions can be realized by communication devices (e.g., UEs or base stations) because the communication devices have similar hardware and operate using similar frequency bands to radar devices (e.g., sensing devices, such as a sensing transmitters and/or receivers) . In ISAC systems, communication devices (e.g., cellular UEs or base stations) can perform sensing (e.g., similar to radar) to detect targets (e.g., device-free objects) as well as measure the velocity of the targets. A device-free object is an object (e.g., a target) that does not have communication equipment or is not capable of communicating with the ISAC system devices (e.g., the communication devices within the ISAC system) . For device-free target localization, measurements of a distance and angle for the target are needed to determine a location of the target. The distance and angle for a target may be obtained by bistatic sensing of the target.

During operation of bistatic sensing of a target in an ISAC system, a communications device (e.g., a base station, such as a gNB) , operating as a sensing transmitter, may send (e.g., transmit) a sensing reference signal towards the target. The sensing reference signal may reflect off of the target to produce a reflection sensing signal radiated in a direction towards a communication device (e.g., a UE, such as in the form of a smart phone) operating as a sensing receiver. The communication device (e.g., UE) , operating as a sensing receiver, may then receive the reflection sensing signal.

The communication device (e.g., UE) operating as a sensing receiver may determine a distance and an angle for the target based on the received reflection sensing signal. The distance is the entire distance path traveled by the sensing reference signal and the reflection sensing signal. As such, the distance is equal to the sum of the distance from the communication device (e.g., gNB) operating as a sensing transmitter to the target, and the distance from the target to the communication device (e.g., UE) operating as a sensing receiver. The angle is the angle of arrival (AOA) of the reflection sensing signal from the target to the communication device (e.g., UE) operating as a sensing receiver.

The communication device (e.g., UE) , operating as a sensing receiver, may use the reflection sensing signal to localize (e.g., position) the target on an ellipsoid, whose two focal points are located at the locations of the communication device (e.g., gNB) operating as a sensing transmitter and the communication device (e.g., UE) operating as a sensing receiver, respectively. In one or more examples, the sensing reference signal may utilize the frequency range 2 (FR2) frequency band. The FR2 frequency band can provide for a high distance resolution and allow for the communication device (e.g., UE) , operating as a sensing receiver, to measure the AOA of the reflection sensing signal received from the target. The communication device (e.g., UE) , operating as a sensing receiver, can determine a position of the target, based on the ellipsoid and the AOA for the target.

An ideal case for sensing is when there is only one target present in the system to be sensed. It can be rather simple to position (e.g., by a device operating as a sensing receiver) a target when there is only one target present, due to the fact that there will only be one resultant measured distance path and one resultant measured angle path for the target. The target position can be calculated (e.g., by a device operating as a sensing receiver) using the measured distance and measured angle for the target. However, when there are multiple targets present in the system, there will be multiple resultant measured distance paths and multiple resultant measured angle paths. Even when all of the distances and angles are measured correctly (e.g., by a device operating as a sensing receiver) , the estimated position of a target (e.g., target A) can be wrong, when the measured distance of one target (e.g., target A) is incorrectly matched with the measured angle of another target (e.g., target B) .

Currently, in an attempt to overcome this problem of mismatching of measured distances and angles for sensing of multiple targets (e.g., multi-targets) , several algorithms have been introduced in the industry to match the measured distances with the measured angles for multiple targets. However, due to a presence of coherence between the distances and the angles for the targets, all of these algorithms have a possibility of mismatching the distances with the angles for the targets. As such, an improved technique for matching measured distances and measured angles for multi-target sensing can be beneficial.

In one or more aspects of the present disclosure, systems, apparatuses, methods (also referred to as processes) , and computer-readable media (collectively referred to herein as “systems and techniques” ) are described herein that provide solutions for utilizing UE (e.g., a communication device operating as a sensing receiver) for measurement fusion in multi-target sensing. In some aspects, the systems and techniques employ an FR2 measurement (e.g., measurement of an FR2 reflection sensing signal) and corresponding measurement reporting enhancements to address mismatching of measured distances and angles in multi-target device-free localization. In one or more aspects, the systems and techniques can assist multi-static sensing by employing measurement fusion and by utilizing algorithms for matching that have a low complexity.

In one or more aspects, for matching of distances and angle paths for multi-target sensing, the systems and techniques can employ a communication device operating as a sensing receiver (e.g., a UE) to use a full signal profile (e.g., entire received reflection signal profile) to measure the distances and angles of the multi-targets separately. By using the full signal profile to measure the distances and angles of the multi-targets separately, a higher accuracy in both the distance and angle measurements can be achieved. The systems and techniques can also have the communication device operating as a sensing receiver (e.g., a UE) calculate matching weights for each of the measured distances and angles. Various different methods can be utilized for calculating the matching weights.

In some aspects, the systems and techniques can employ a communication device operating as a sensing transmitter (e.g., a gNB) and/or a network server (e.g., sensing server) to perform a fusion of measurement results (e.g., the measured distances, measured angles, and/or the corresponding matching weights) from multiple communication devices operating as sensing receivers (e.g., UEs) to locate multiple targets in multi-static sensing to achieve a higher accuracy for the sensing.

In one or more aspects, the systems and techniques can have the communication device operating as a sensing receiver (e.g., a UE) report the measurements (e.g., the measured distances, measured angles, and/or the corresponding matching weights) to the communication device operating as a sensing transmitter (e.g., gNB) and/or to the network server (e.g., the sensing server) for performing the measurement fusion. In one or more aspects, the report may include content to support the measurement fusion of the measurements from the multiple communication devices operating as sensing receivers (e.g., UEs) .

The systems and techniques described herein provide various advantages over existing systems, including increasing RF sensing performance, among other benefits. In one or more examples, in particular, the systems and techniques can improve localization accuracy in multi-target sensing. For example, the systems and techniques can improve the matching accuracy of multiple measured distances and angles by performing a matching weight calculation in a communication device operating as a sensing receiver (e.g., a UE) . For another example, the systems and techniques can further improve the accuracy of the distance and angle measurements and matching weights by performing fusion of measurements from multiple communication devices operating as sensing receivers (e.g., UEs) for multi-static sensing.

Additional aspects of the present disclosure are described in more detail below.

As used herein, the terms “user equipment” (UE) and “network entity” are not intended to be specific or otherwise limited to any particular radio access technology (RAT) , unless otherwise noted. In general, a UE may be any wireless communication device (e.g., a mobile phone, router, tablet computer, laptop computer, and/or tracking device, etc. ) , wearable (e.g., smartwatch, smart-glasses, wearable ring, and/or an extended reality (XR) device such as a virtual reality (VR) headset, an augmented reality (AR) headset or glasses, or a mixed reality (MR) headset) , vehicle (e.g., automobile, motorcycle, bicycle, etc. ) , and/or Internet of Things (IoT) device, etc., used by a user to communicate over a wireless communications network. A UE may be mobile or may (e.g., at certain times) be stationary, and may communicate with a radio access network (RAN) . As used herein, the term “UE” may be referred to interchangeably as an “access terminal” or “AT, ” a “client device, ” a “wireless device, ” a “subscriber device, ” a “subscriber terminal, ” a “subscriber station, ” a “user terminal” or “UT, ” a “mobile device, ” a “mobile terminal, ” a “mobile station, ” or variations thereof. Generally, UEs can communicate with a core network via a RAN, and through the core network the UEs can be connected with external networks such as the Internet and with other UEs. Of course, other mechanisms of connecting to the core network and/or the Internet are also possible for the UEs, such as over wired access networks, wireless local area network (WLAN) networks (e.g., based on IEEE 802.11 communication standards, etc. ) and so on.

A network entity can be implemented in an aggregated or monolithic base station architecture, or alternatively, in a disaggregated base station architecture, and may include one or more of a central unit (CU) , a distributed unit (DU) , a radio unit (RU) , a Near-Real Time (Near-RT) RAN Intelligent Controller (RIC) , or a Non-Real Time (Non-RT) RIC. A base station (e.g., with an aggregated/monolithic base station architecture or disaggregated base station architecture) may operate according to one of several RATs in communication with UEs depending on the network in which it is deployed, and may be alternatively referred to as an access point (AP) , a network node, a NodeB (NB) , an evolved NodeB (eNB) , a next generation eNB (ng-eNB) , a New Radio (NR) Node B (also referred to as a gNB or gNodeB) , etc. A base station may be used primarily to support wireless access by UEs, including supporting data, voice, and/or signaling connections for the supported UEs. In some systems, a base station may provide edge node signaling functions while in other systems it may provide additional control and/or network management functions. A communication link through which UEs can send signals to a base station is called an uplink (UL) channel (e.g., a reverse traffic channel, a reverse control channel, an access channel, etc. ) . A communication link through which the base station can send signals to UEs is called a downlink (DL) or forward link channel (e.g., a paging channel, a control channel, a broadcast channel, or a forward traffic channel, etc. ) . The term traffic channel (TCH) , as used herein, can refer to either an uplink, reverse or downlink, and/or a forward traffic channel.

The term “network entity” (also referred to as a “network device” ) or “base station” (e.g., with an aggregated/monolithic base station architecture or disaggregated base station architecture) may refer to a single physical Transmission-Reception Point (TRP) or to multiple physical Transmission-Reception Points (TRPs) that may or may not be co-located. For example, where the term “network entity” (or “network device” ) or “base station” refers to a single physical TRP, the physical TRP may be an antenna of the base station corresponding to a cell (or several cell sectors) of the base station. Where the term “network entity” or “base station” refers to multiple co-located physical TRPs, the physical TRPs may be an array of antennas (e.g., as in a multiple-input multiple-output (MIMO) system or where the base station employs beamforming) of the base station. Where the term “base station” refers to multiple non-co-located physical TRPs, the physical TRPs may be a distributed antenna system (DAS) (a network of spatially separated antennas connected to a common source via a transport medium) or a remote radio head (RRH) (a remote base station connected to a serving base station) . Alternatively, the non-co-located physical TRPs may be the serving base station receiving the measurement report from the UE and a neighbor base station whose reference radio frequency (RF) signals (or simply “reference signals” ) the UE is measuring. Because a TRP is the point from which a base station transmits and receives wireless signals, as used herein, references to transmission from or reception at a base station are to be understood as referring to a particular TRP of the base station.

In some implementations that support positioning of UEs, a network entity or base station may not support wireless access by UEs (e.g., may not support data, voice, and/or signaling connections for UEs) , but may instead transmit reference signals to UEs to be measured by the UEs, and/or may receive and measure signals transmitted by the UEs. Such a base station may be referred to as a positioning beacon (e.g., when transmitting signals to UEs) and/or as a location measurement unit (e.g., when receiving and measuring signals from UEs) .

An RF signal includes an electromagnetic wave of a given frequency that transports information through the space between a transmitter and a receiver. As used herein, a transmitter may transmit a single “RF signal” or multiple “RF signals” to a receiver. However, the receiver may receive multiple “RF signals” corresponding to each transmitted RF signal due to the propagation characteristics of RF signals through multipath channels. The same transmitted RF signal on different paths between the transmitter and receiver may be referred to as a “multipath” RF signal. As used herein, an RF signal may also be referred to as a “wireless signal” or simply a “signal” where it is clear from the context that the term “signal” refers to a wireless signal or an RF signal.

According to various aspects, FIG. 1 illustrates an exemplary wireless communications system 100, which may be employed by the disclosed systems and techniques described herein for utilizing UE for measurement fusion in multi-target sensing. The wireless communications system 100 (which may also be referred to as a wireless wide area network (WWAN) ) can include various base stations 102 and various UEs 104. In some aspects, the base stations 102 may also be referred to as “network entities” or “network nodes. ” One or more of the base stations 102 can be implemented in an aggregated or monolithic base station architecture. Additionally or alternatively, one or more of the base stations 102 can be implemented in a disaggregated base station architecture, and may include one or more of a central unit (CU) , a distributed unit (DU) , a radio unit (RU) , a Near-Real Time (Near-RT) RAN Intelligent Controller (RIC) , or a Non-Real Time (Non-RT) RIC. The base stations 102 can include macro cell base stations (high power cellular base stations) and/or small cell base stations (low power cellular base stations) . In an aspect, the macro cell base station may include eNBs and/or ng-eNBs where the wireless communications system 100 corresponds to a long term evolution (LTE) network, or gNBs where the wireless communications system 100 corresponds to a NR network, or a combination of both, and the small cell base stations may include femtocells, picocells, microcells, etc.

The base stations 102 may collectively form a RAN and interface with a core network 170 (e.g., an evolved packet core (EPC) or a 5G core (5GC) ) through backhaul links 122, and through the core network 170 to one or more location servers 172 (which may be part of core network 170 or may be external to core network 170) . In addition to other functions, the base stations 102 may perform functions that relate to one or more of transferring user data, radio channel ciphering and deciphering, integrity protection, header compression, mobility control functions (e.g., handover, dual connectivity) , inter-cell interference coordination, connection setup and release, load balancing, distribution for non-access stratum (NAS) messages, NAS node selection, synchronization, RAN sharing, multimedia broadcast multicast service (MBMS) , subscriber and equipment trace, RAN information management (RIM) , paging, positioning, and delivery of warning messages. The base stations 102 may communicate with each other directly or indirectly (e.g., through the EPC or 5GC) over backhaul links 134, which may be wired and/or wireless.

The base stations 102 may wirelessly communicate with the UEs 104. Each of the base stations 102 may provide communication coverage for a respective geographic coverage area 110. In an aspect, one or more cells may be supported by a base station 102 in each coverage area 110. A “cell” is a logical communication entity used for communication with a base station (e.g., over some frequency resource, referred to as a carrier frequency, component carrier, carrier, band, or the like) , and may be associated with an identifier (e.g., a physical cell identifier (PCI) , a virtual cell identifier (VCI) , a cell global identifier (CGI) ) for distinguishing cells operating via the same or a different carrier frequency. In some cases, different cells may be configured according to different protocol types (e.g., machine-type communication (MTC) , narrowband IoT (NB-IoT) , enhanced mobile broadband (eMBB) , or others) that may provide access for different types of UEs. Because a cell is supported by a specific base station, the term “cell” may refer to either or both of the logical communication entity and the base station that supports it, depending on the context. In addition, because a TRP is typically the physical transmission point of a cell, the terms “cell” and “TRP” may be used interchangeably. In some cases, the term “cell” may also refer to a geographic coverage area of a base station (e.g., a sector) , insofar as a carrier frequency can be detected and used for communication within some portion of geographic coverage areas 110.

While neighboring macro cell base station 102 geographic coverage areas 110 may partially overlap (e.g., in a handover region) , some of the geographic coverage areas 110 may be substantially overlapped by a larger geographic coverage area 110. For example, a small cell base station 102' may have a coverage area 110' that substantially overlaps with the coverage area 110 of one or more macro cell base stations 102. A network that includes both small cell and macro cell base stations may be known as a heterogeneous network. A heterogeneous network may also include home eNBs (HeNBs) , which may provide service to a restricted group known as a closed subscriber group (CSG) .

The communication links 120 between the base stations 102 and the UEs 104 may include uplink (also referred to as reverse link) transmissions from a UE 104 to a base station 102 and/or downlink (also referred to as forward link) transmissions from a base station 102 to a UE 104. The communication links 120 may use MIMO antenna technology, including spatial multiplexing, beamforming, and/or transmit diversity. The communication links 120 may be through one or more carrier frequencies. Allocation of carriers may be asymmetric with respect to downlink and uplink (e.g., more or less carriers may be allocated for downlink than for uplink) .

The wireless communications system 100 may further include a WLAN AP 150 in communication with WLAN stations (STAs) 152 via communication links 154 in an unlicensed frequency spectrum (e.g., 5 Gigahertz (GHz) ) . When communicating in an unlicensed frequency spectrum, the WLAN STAs 152 and/or the WLAN AP 150 may perform a clear channel assessment (CCA) or listen before talk (LBT) procedure prior to communicating in order to determine whether the channel is available. In some examples, the wireless communications system 100 can include devices (e.g., UEs, etc. ) that communicate with one or more UEs 104, base stations 102, APs 150, etc. utilizing the ultra-wideband (UWB) spectrum. The UWB spectrum can range from 3.1 to 10.5 GHz.

The small cell base station 102' may operate in a licensed and/or an unlicensed frequency spectrum. When operating in an unlicensed frequency spectrum, the small cell base station 102' may employ LTE or NR technology and use the same 5 GHz unlicensed frequency spectrum as used by the WLAN AP 150. The small cell base station 102', employing LTE and/or 5G in an unlicensed frequency spectrum, may boost coverage to and/or increase capacity of the access network. NR in unlicensed spectrum may be referred to as NR-U. LTE in an unlicensed spectrum may be referred to as LTE-U, licensed assisted access (LAA) , or MulteFire.

The wireless communications system 100 may further include a millimeter wave (mmW) base station 180 that may operate in mmW frequencies and/or near mmW frequencies in communication with a UE 182. The mmW base station 180 may be implemented in an aggregated or monolithic base station architecture, or alternatively, in a disaggregated base station architecture (e.g., including one or more of a CU, a DU, a RU, a Near-RT RIC, or a Non-RT RIC) . Extremely high frequency (EHF) is part of the RF in the electromagnetic spectrum. EHF has a range of 30 GHz to 300 GHz and a wavelength between 1 millimeter and 10 millimeters. Radio waves in this band may be referred to as a millimeter wave. Near mmW may extend down to a frequency of 3 GHz with a wavelength of 100 millimeters. The super high frequency (SHF) band extends between 3 GHz and 30 GHz, also referred to as centimeter wave. Communications using the mmW and/or near mmW radio frequency band have high path loss and a relatively short range. The mmW base station 180 and the UE 182 may utilize beamforming (transmit and/or receive) over an mmW communication link 184 to compensate for the extremely high path loss and short range. Further, it will be appreciated that in alternative configurations, one or more base stations 102 may also transmit using mmW or near mmW and beamforming. Accordingly, it will be appreciated that the foregoing illustrations are merely examples and should not be construed to limit the various aspects disclosed herein.

Transmit beamforming is a technique for focusing an RF signal in a specific direction. Traditionally, when a network node or entity (e.g., a base station) broadcasts an RF signal, it broadcasts the signal in all directions (omni-directionally) . With transmit beamforming, the network node determines where a given target device (e.g., a UE) is located (relative to the transmitting network node) and projects a stronger downlink RF signal in that specific direction, thereby providing a faster (in terms of data rate) and stronger RF signal for the receiving device (s) . To change the directionality of the RF signal when transmitting, a network node can control the phase and relative amplitude of the RF signal at each of the one or more transmitters that are broadcasting the RF signal. For example, a network node may use an array of antennas (referred to as a “phased array” or an “antenna array” ) that creates a beam of RF waves that can be “steered” to point in different directions, without actually moving the antennas. Specifically, the RF current from the transmitter is fed to the individual antennas with the correct phase relationship so that the radio waves from the separate antennas add together to increase the radiation in a desired direction, while canceling to suppress radiation in undesired directions.

Transmit beams may be quasi-collocated, meaning that they appear to the receiver (e.g., a UE) as having the same parameters, regardless of whether or not the transmitting antennas of the network node themselves are physically collocated. In NR, there are four types of quasi-collocation (QCL) relations. Specifically, a QCL relation of a given type means that certain parameters about a second reference RF signal on a second beam can be derived from information about a source reference RF signal on a source beam. Thus, if the source reference RF signal is QCL Type A, the receiver can use the source reference RF signal to estimate the Doppler shift, Doppler spread, average delay, and delay spread of a second reference RF signal transmitted on the same channel. If the source reference RF signal is QCL Type B, the receiver can use the source reference RF signal to estimate the Doppler shift and Doppler spread of a second reference RF signal transmitted on the same channel. If the source reference RF signal is QCL Type C, the receiver can use the source reference RF signal to estimate the Doppler shift and average delay of a second reference RF signal transmitted on the same channel. If the source reference RF signal is QCL Type D, the receiver can use the source reference RF signal to estimate the spatial receive parameter of a second reference RF signal transmitted on the same channel.

In receiving beamforming, the receiver uses a receive beam to amplify RF signals detected on a given channel. For example, the receiver can increase the gain setting and/or adjust the phase setting of an array of antennas in a particular direction to amplify (e.g., to increase the gain level of) the RF signals received from that direction. Thus, when a receiver is said to beamform in a certain direction, it means the beam gain in that direction is high relative to the beam gain along other directions, or the beam gain in that direction is the highest compared to the beam gain of other beams available to the receiver. This results in a stronger received signal strength (e.g., reference signal received power (RSRP) , reference signal received quality (RSRQ) , signal-to-interference-plus-noise ratio (SINR) , etc. ) of the RF signals received from that direction.

Receive beams may be spatially related. A spatial relation means that parameters for a transmit beam for a second reference signal can be derived from information about a receive beam for a first reference signal. For example, a UE may use a particular receive beam to receive one or more reference downlink reference signals (e.g., positioning reference signals (PRS) , tracking reference signals (TRS) , phase tracking reference signal (PTRS) , cell-specific reference signals (CRS) , channel state information reference signals (CSI-RS) , primary synchronization signals (PSS) , secondary synchronization signals (SSS) , synchronization signal blocks (SSBs) , etc. ) from a network node or entity (e.g., a base station) . The UE can then form a transmit beam for sending one or more uplink reference signals (e.g., uplink positioning reference signals (UL-PRS) , sounding reference signal (SRS) , demodulation reference signals (DMRS) , PTRS, etc. ) to that network node or entity (e.g., a base station) based on the parameters of the receive beam.

Note that a “downlink” beam may be either a transmit beam or a receive beam, depending on the entity forming it. For example, if a network node or entity (e.g., a base station) is forming the downlink beam to transmit a reference signal to a UE, the downlink beam is a transmit beam. If the UE is forming the downlink beam, however, it is a receive beam to receive the downlink reference signal. Similarly, an “uplink” beam may be either a transmit beam or a receive beam, depending on the entity forming it. For example, if a network node or entity (e.g., a base station) is forming the uplink beam, it is an uplink receive beam, and if a UE is forming the uplink beam, it is an uplink transmit beam.

In 5G, the frequency spectrum in which wireless network nodes or entities (e.g., base stations 102/180, UEs 104/182) operate is divided into multiple frequency ranges, FR1 (from 450 to 6000 Megahertz (MHz) ) , FR2 (from 24250 to 52600 MHz) , FR3 (above 52600 MHz) , and FR4 (between FR1 and FR2) . In a multi-carrier system, such as 5G, one of the carrier frequencies is referred to as the “primary carrier” or “anchor carrier” or “primary serving cell” or “PCell, ” and the remaining carrier frequencies are referred to as “secondary carriers” or “secondary serving cells” or “SCells. ” In carrier aggregation, the anchor carrier is the carrier operating on the primary frequency (e.g., FR1) utilized by a UE 104/182 and the cell in which the UE 104/182 either performs the initial radio resource control (RRC) connection establishment procedure or initiates the RRC connection re-establishment procedure. The primary carrier carries all common and UE-specific control channels, and may be a carrier in a licensed frequency (however, this is not always the case) . A secondary carrier is a carrier operating on a second frequency (e.g., FR2) that may be configured once the RRC connection is established between the UE 104 and the anchor carrier and that may be used to provide additional radio resources. In some cases, the secondary carrier may be a carrier in an unlicensed frequency. The secondary carrier may contain only necessary signaling information and signals, for example, those that are UE-specific may not be present in the secondary carrier, since both primary uplink and downlink carriers are typically UE-specific. This means that different UEs 104/182 in a cell may have different downlink primary carriers. The same is true for the uplink primary carriers. The network is able to change the primary carrier of any UE 104/182 at any time. This is done, for example, to balance the load on different carriers. Because a “serving cell” (whether a PCell or an SCell) corresponds to a carrier frequency and/or component carrier over which some base station is communicating, the term “cell, ” “serving cell, ” “component carrier, ” “carrier frequency, ” and the like can be used interchangeably.

For example, still referring to FIG. 1, one of the frequencies utilized by the macro cell base stations 102 may be an anchor carrier (or “PCell” ) and other frequencies utilized by the macro cell base stations 102 and/or the mmW base station 180 may be secondary carriers ( “SCells” ) . In carrier aggregation, the base stations 102 and/or the UEs 104 may use spectrum up to Y MHz (e.g., 5, 10, 15, 20, 100 MHz) bandwidth per carrier up to a total of Yx MHz (x component carriers) for transmission in each direction. The component carriers may or may not be adjacent to each other on the frequency spectrum. Allocation of carriers may be asymmetric with respect to the downlink and uplink (e.g., more or less carriers may be allocated for downlink than for uplink) . The simultaneous transmission and/or reception of multiple carriers enables the UE 104/182 to significantly increase its data transmission and/or reception rates. For example, two 20 MHz aggregated carriers in a multi-carrier system would theoretically lead to a two-fold increase in data rate (i.e., 40 MHz) , compared to that attained by a single 20 MHz carrier.

In order to operate on multiple carrier frequencies, a base station 102 and/or a UE 104 is equipped with multiple receivers and/or transmitters. For example, a UE 104 may have two receivers, “Receiver 1” and “Receiver 2, ” where “Receiver 1” is a multi-band receiver that can be tuned to band (i.e., carrier frequency) ‘X’ or band ‘Y, ’ and “Receiver 2” is a one-band receiver tuneable to band ‘Z’ only. In this example, if the UE 104 is being served in band ‘X, ’ band ‘X’ would be referred to as the PCell or the active carrier frequency, and “Receiver 1” would need to tune from band ‘X’ to band ‘Y’ (an SCell) in order to measure band ‘Y’ (and vice versa) . In contrast, whether the UE 104 is being served in band ‘X’ or band ‘Y, ’ because of the separate “Receiver 2, ” the UE 104 can measure band ‘Z’ without interrupting the service on band ‘X’ or band ‘Y. ’

The wireless communications system 100 may further include a UE 164 that may communicate with a macro cell base station 102 over a communication link 120 and/or the mmW base station 180 over an mmW communication link 184. For example, the macro cell base station 102 may support a PCell and one or more SCells for the UE 164 and the mmW base station 180 may support one or more SCells for the UE 164.

The wireless communications system 100 may further include one or more UEs, such as UE 190, that connects indirectly to one or more communication networks via one or more device-to-device (D2D) peer-to-peer (P2P) links (referred to as “sidelinks” ) . In the example of FIG. 1, UE 190 has a D2D P2P link 192 with one of the UEs 104 connected to one of the base stations 102 (e.g., through which UE 190 may indirectly obtain cellular connectivity) and a D2D P2P link 194 with WLAN STA 152 connected to the WLAN AP 150 (through which UE 190 may indirectly obtain WLAN-based Internet connectivity) . In an example, the D2D P2P links 192 and 194 may be supported with any well-known D2D RAT, such as LTE Direct (LTE-D) , Wi-Fi Direct (Wi-Fi-D) , and so on. As noted above, UE 104 and UE 190 can be configured to communicate using sidelink communications. In some cases, a sidelink transmission can include a request for feedback (e.g., a hybrid automatic repeat request (HARQ) ) from the receiving UE.

FIG. 2 is a diagram illustrating an example of a disaggregated base station architecture, which may be employed by the disclosed systems and techniques for utilizing UE for measurement fusion in multi-target sensing. Deployment of communication systems, such as 5G NR systems, may be arranged in multiple manners with various components or constituent parts. In a 5G NR system, or network, a network node, a network entity, a mobility element of a network, a radio access network (RAN) node, a core network node, a network element, or a network equipment, such as a base station (BS) , or one or more units (or one or more components) performing base station functionality, may be implemented in an aggregated or disaggregated architecture. For example, a BS (such as a Node B (NB) , evolved NB (eNB) , NR BS, 5G NB, AP, a transmit receive point (TRP) , or a cell, etc. ) may be implemented as an aggregated base station (also known as a standalone BS or a monolithic BS) or a disaggregated base station.

An aggregated base station may be configured to utilize a radio protocol stack that is physically or logically integrated within a single RAN node. A disaggregated base station may be configured to utilize a protocol stack that is physically or logically distributed among two or more units (such as one or more central or centralized units (CUs) , one or more distributed units (DUs) , or one or more radio units (RUs) ) . In some aspects, a CU may be implemented within a RAN node, and one or more DUs may be co- located with the CU, or alternatively, may be geographically or virtually distributed throughout one or multiple other RAN nodes. The DUs may be implemented to communicate with one or more RUs. Each of the CU, DU and RU also can be implemented as virtual units, i.e., a virtual central unit (VCU) , a virtual distributed unit (VDU) , or a virtual radio unit (VRU) .

Base station-type operation or network design may consider aggregation characteristics of base station functionality. For example, disaggregated base stations may be utilized in an integrated access backhaul (IAB) network, an open radio access network (O-RAN (such as the network configuration sponsored by the O-RAN Alliance) ) , or a virtualized radio access network (vRAN, also known as a cloud radio access network (C-RAN) ) . Disaggregation may include distributing functionality across two or more units at various physical locations, as well as distributing functionality for at least one unit virtually, which can enable flexibility in network design. The various units of the disaggregated base station, or disaggregated RAN architecture, can be configured for wired or wireless communication with at least one other unit.

As previously mentioned, FIG. 2 shows a diagram illustrating an example disaggregated base station 201 architecture. The disaggregated base station 201 architecture may include one or more central units (CUs) 211 that can communicate directly with a core network 223 via a backhaul link, or indirectly with the core network 223 through one or more disaggregated base station units (such as a Near-Real Time (Near-RT) RAN Intelligent Controller (RIC) 227 via an E2 link, or a Non-Real Time (Non-RT) RIC 217 associated with a Service Management and Orchestration (SMO) Framework 207, or both) . A CU 211 may communicate with one or more distributed units (DUs) 231 via respective midhaul links, such as an F1 interface. The DUs 231 may communicate with one or more radio units (RUs) 241 via respective fronthaul links. The RUs 241 may communicate with respective UEs 221 via one or more RF access links. In some implementations, the UE 221 may be simultaneously served by multiple RUs 241.

Each of the units, i.e., the CUs 211, the DUs 231, the RUs 241, as well as the Near-RT RICs 227, the Non-RT RICs 217 and the SMO Framework 207, may include one or more interfaces or be coupled to one or more interfaces configured to receive or transmit signals, data, or information (collectively, signals) via a wired or wireless transmission medium. Each of the units, or an associated processor or controller providing instructions to the communication interfaces of the units, can be configured to communicate with one or more of the other units via the transmission medium. For example, the units can include a wired interface configured to receive or transmit signals over a wired transmission medium to one or more of the other units. Additionally, the units can include a wireless interface, which may include a receiver, a transmitter or transceiver (such as an RF transceiver) , configured to receive or transmit signals, or both, over a wireless transmission medium to one or more of the other units.

In some aspects, the CU 211 may host one or more higher layer control functions. Such control functions can include radio resource control (RRC) , packet data convergence protocol (PDCP) , service data adaptation protocol (SDAP) , or the like. Each control function can be implemented with an interface configured to communicate signals with other control functions hosted by the CU 211. The CU 211 may be configured to handle user plane functionality (i.e., Central Unit –User Plane (CU-UP) ) , control plane functionality (i.e., Central Unit –Control Plane (CU-CP) ) , or a combination thereof. In some implementations, the CU 211 can be logically split into one or more CU-UP units and one or more CU-CP units. The CU-UP unit can communicate bidirectionally with the CU-CP unit via an interface, such as the E1 interface when implemented in an O-RAN configuration. The CU 211 can be implemented to communicate with the DU 231, as necessary, for network control and signaling.

The DU 231 may correspond to a logical unit that includes one or more base station functions to control the operation of one or more RUs 241. In some aspects, the DU 231 may host one or more of a radio link control (RLC) layer, a medium access control (MAC) layer, and one or more high physical (PHY) layers (such as modules for forward error correction (FEC) encoding and decoding, scrambling, modulation and demodulation, or the like) depending, at least in part, on a functional split, such as those defined by the 3^rd Generation Partnership Project (3GPP) . In some aspects, the DU 231 may further host one or more low PHY layers. Each layer (or module) can be implemented with an interface configured to communicate signals with other layers (and modules) hosted by the DU 231, or with the control functions hosted by the CU 211.

Lower-layer functionality can be implemented by one or more RUs 241. In some deployments, an RU 241, controlled by a DU 231, may correspond to a logical node that hosts RF processing functions, or low-PHY layer functions (such as performing fast Fourier transform (FFT) , inverse FFT (iFFT) , digital beamforming, physical random access channel (PRACH) extraction and filtering, or the like) , or both, based at least in part on the functional split, such as a lower layer functional split. In such an architecture, the RU (s) 241 can be implemented to handle over the air (OTA) communication with one or more UEs 221. In some implementations, real-time and non-real-time aspects of control and user plane communication with the RU (s) 241 can be controlled by the corresponding DU 231. In some scenarios, this configuration can enable the DU (s) 231 and the CU 211 to be implemented in a cloud-based RAN architecture, such as a vRAN architecture.

The SMO Framework 207 may be configured to support RAN deployment and provisioning of non-virtualized and virtualized network elements. For non-virtualized network elements, the SMO Framework 207 may be configured to support the deployment of dedicated physical resources for RAN coverage requirements which may be managed via an operations and maintenance interface (such as an O1 interface) . For virtualized network elements, the SMO Framework 207 may be configured to interact with a cloud computing platform (such as an open cloud (O-Cloud) 291) to perform network element life cycle management (such as to instantiate virtualized network elements) via a cloud computing platform interface (such as an O2 interface) . Such virtualized network elements can include, but are not limited to, CUs 211, DUs 231, RUs 241 and Near-RT RICs 227. In some implementations, the SMO Framework 207 can communicate with a hardware aspect of a 4G RAN, such as an open eNB (O-eNB) 213, via an O1 interface. Additionally, in some implementations, the SMO Framework 207 can communicate directly with one or more RUs 241 via an O1 interface. The SMO Framework 207 also may include a Non-RT RIC 217 configured to support functionality of the SMO Framework 207.

The Non-RT RIC 217 may be configured to include a logical function that enables non-real-time control and optimization of RAN elements and resources, Artificial Intelligence/Machine Learning (AI/ML) workflows including model training and updates, or policy-based guidance of applications/features in the Near-RT RIC 227. The Non-RT RIC 217 may be coupled to or communicate with (such as via an A1 interface) the Near-RT RIC 227. The Near-RT RIC 227 may be configured to include a logical function that enables near-real-time control and optimization of RAN elements and resources via data collection and actions over an interface (such as via an E2 interface) connecting one or more CUs 211, one or more DUs 231, or both, as well as an O-eNB 213, with the Near-RT RIC 227.

In some implementations, to generate AI/ML models to be deployed in the Near-RT RIC 227, the Non-RT RIC 217 may receive parameters or external enrichment information from external servers. Such information may be utilized by the Near-RT RIC 227 and may be received at the SMO Framework 207 or the Non-RT RIC 217 from non-network data sources or from network functions. In some examples, the Non-RT RIC 217 or the Near-RT RIC 227 may be configured to tune RAN behavior or performance. For example, the Non-RT RIC 217 may monitor long-term trends and patterns for performance and employ AI/ML models to perform corrective actions through the SMO Framework 207 (such as reconfiguration via O1) or via creation of RAN management policies (such as A1 policies) .

Various radio frame structures may be used to support downlink, uplink, and sidelink transmissions between network nodes (e.g., base stations and UEs) . FIG. 3 is a diagram 300 illustrating an example of a frame structure, which may be employed by the disclosed systems and techniques for utilizing UE for measurement fusion in multi-target sensing. Other wireless communications technologies may have different frame structures and/or different channels.

NR (and LTE) utilizes OFDM on the downlink and single-carrier frequency division multiplexing (SC-FDM) on the uplink. Unlike LTE, however, NR has an option to use OFDM on the uplink as well. OFDM and SC-FDM partition the system bandwidth into multiple (K) orthogonal subcarriers, which are also commonly referred to as tones, bins, etc. Each subcarrier may be modulated with data. In general, modulation symbols are sent in the frequency domain with OFDM and in the time domain with SC-FDM. The spacing between adjacent subcarriers may be fixed, and the total number of subcarriers (K) may be dependent on the system bandwidth. For example, the spacing of the subcarriers may be 15 kHz and the minimum resource allocation (resource block) may be 12 subcarriers (or 180 kHz) . Consequently, the nominal fast Fourier transform (FFT) size may be equal to 128, 256, 512, 1024, or 2048 for system bandwidth of 1.25, 2.5, 5, 10, or 20 megahertz (MHz) , respectively. The system bandwidth may also be partitioned into subbands. For example, a subband may cover 1.08 MHz (i.e., 6 resource blocks) , and there may be 1, 2, 4, 8, or 16 subbands for system bandwidth of 1.25, 2.5, 5, 10, or 20 MHz, respectively.

LTE supports a single numerology (subcarrier spacing, symbol length, etc. ) . In contrast, NR may support multiple numerologies (μ) . For example, subcarrier spacing (SCS) of 15 kHz, 30 kHz, 60 kHz, 120 kHz, and 240 kHz or greater may be available. Table 1 provided below lists some various parameters for different NR numerologies.

Table 1

In one example, a numerology of 15 kHz is used. Thus, in the time domain, a 10 millisecond (ms) frame is divided into 10 equally sized subframes of 1 ms each, and each subframe includes one time slot. In FIG. 3, time is represented horizontally (e.g., on the X axis) with time increasing from left to right, while frequency is represented vertically (e.g., on the Y axis) with frequency increasing (or decreasing) from bottom to top.

A resource grid may be used to represent time slots, each time slot including one or more time-concurrent resource blocks (RBs) (also referred to as physical RBs (PRBs) ) in the frequency domain. FIG. 3 illustrates an example of a resource block (RB) 302. Data or information for joint communications and sensing may be included in one or more RBs 302. The RB 302 is arranged with the time domain on the horizontal (or x-) axis and the frequency domain on the vertical (or y-) axis. As shown, the RB 302 may be 180 kilohertz (kHz) wide in frequency and one slot long in time (with a slot being 1 milliseconds (ms) in time) . In some cases, the slot may include fourteen symbols (e.g., in a slot configuration 0) . The RB 302 includes twelve subcarriers (along the y-axis) and fourteen symbols (along the x-axis) .

An intersection of a symbol and subcarrier can be referred to as a resource element (RE) 304 or tone. The RB 302 of FIG. 3 includes multiple REs, including the resource element (RE) 304. For instance, a RE 304 is 1 subcarrier x 1 symbol (e.g., OFDM symbol) , and is the smallest discrete part of the subframe. A RE 304 includes a single complex value representing data from a physical channel or signal. The number of bits carried by each RE 304 depends on the modulation scheme.

In some aspects, some REs 304 can be used to transmit downlink reference (pilot) signals (DL-RS) . The DL-RS can include Positioning Reference Signal (PRS) , Tracking Reference Signal (TRS) , Phase Tracking Reference Signal (PTRS) , Channel State Information Reference Signal (CSI-RS) , Demodulation Reference Signal (DMRS) , Primary Synchronization Signal (PSS) , Secondary Synchronization Signal (SSS) , etc. The resource grid if FIG. 3 illustrates exemplary locations of REs 304 used to transmit DL-RS (labeled “R” ) .

FIG. 4 is a block diagram illustrating an example of a computing system 470 of an electronic device 407, which may be employed by the disclosed systems and techniques for utilizing UE for measurement fusion in multi-target sensing. The electronic device 407 is an example of a device that can include hardware and software for the purpose of connecting and exchanging data with other devices and systems using a communications network (e.g., a 3^rd Generation Partnership network, such as a 5^th Generation (5G) /New Radio (NR) network, a 4^th Generation (4G) /Long Term Evolution (LTE) network, a WiFi network, or other communications network) . For example, the electronic device 407 can include, or be a part of, a mobile device (e.g., a mobile telephone) , a wearable device (e.g., a network-connected or smart watch) , an extended reality device (e.g., a virtual reality (VR) device, an augmented reality (AR) device, or a mixed reality (MR) device) , a personal computer, a laptop computer, a tablet computer, an Internet-of-Things (IoT) device, a wireless access point, a router, a vehicle or component of a vehicle, a server computer, a robotics device, and/or other device used by a user to communicate over a wireless communications network. In some cases, the device 407 can be referred to as user equipment (UE) , such as when referring to a device configured to communicate using 5G/NR, 4G/LTE, or other telecommunication standard. In some cases, the device can be referred to as a station (STA) , such as when referring to a device configured to communicate using the Wi-Fi standard.

The computing system 470 includes software and hardware components that can be electrically or communicatively coupled via a bus 489 (or may otherwise be in communication, as appropriate) . For example, the computing system 470 includes one or more processors 484. The one or more processors 484 can include one or more CPUs, ASICs, FPGAs, APs, GPUs, VPUs, NSPs, microcontrollers, dedicated hardware, any combination thereof, and/or other processing device/s and/or system/s. The bus 489 can be used by the one or more processors 484 to communicate between cores and/or with the one or more memory devices 486.

The computing system 470 may also include one or more memory devices 486, one or more digital signal processors (DSPs) 482, one or more subscriber identity modules (SIMs) 474, one or more modems 476, one or more wireless transceivers 478, one or more antennas 487, one or more input devices 472 (e.g., a camera, a mouse, a keyboard, a touch sensitive screen, a touch pad, a keypad, a microphone or a microphone array, and/or the like) , and one or more output devices 480 (e.g., a display, a speaker, a printer, and/or the like) .

The one or more wireless transceivers 478 can receive wireless signals (e.g., signal 488) via antenna 487 from one or more other devices, such as other user devices, network devices (e.g., base stations such as evolved Node Bs (eNBs) and/or gNodeBs (gNBs) , WiFi access points (APs) such as routers, range extenders or the like, etc. ) , cloud networks, and/or the like. In some examples, the computing system 470 can include multiple antennas or an antenna array that can facilitate simultaneous transmit and receive functionality. Antenna 487 can be an omnidirectional antenna such that RF signals can be received from and transmitted in all directions. The wireless signal 488 may be transmitted via a wireless network. The wireless network may be any wireless network, such as a cellular or telecommunications network (e.g., 3G, 4G, 5G, etc. ) , wireless local area network (e.g., a WiFi network) , a Bluetooth^TM network, and/or other network. In some examples, the one or more wireless transceivers 478 may include an RF front end including one or more components, such as an amplifier, a mixer (also referred to as a signal multiplier) for signal down conversion, a frequency synthesizer (also referred to as an oscillator) that provides signals to the mixer, a baseband filter, an analog-to-digital converter (ADC) , one or more power amplifiers, among other components. The RF front-end can generally handle selection and conversion of the wireless signals 488 into a baseband or intermediate frequency and can convert the RF signals to the digital domain.

In some cases, the computing system 470 can include a coding-decoding device (or CODEC) configured to encode and/or decode data transmitted and/or received using the one or more wireless transceivers 478. In some cases, the computing system 470 can include an encryption-decryption device or component configured to encrypt and/or decrypt data (e.g., according to the Advanced Encryption Standard (AES) and/or Data Encryption Standard (DES) standard) transmitted and/or received by the one or more wireless transceivers 478.

The one or more SIMs 474 can each securely store an international mobile subscriber identity (IMSI) number and related key assigned to the user of the electronic device 407. The IMSI and key can be used to identify and authenticate the subscriber when accessing a network provided by a network service provider or operator associated with the one or more SIMs 474. The one or more modems 476 can modulate one or more signals to encode information for transmission using the one or more wireless transceivers 478. The one or more modems 476 can also demodulate signals received by the one or more wireless transceivers 478 in order to decode the transmitted information. In some examples, the one or more modems 476 can include a WiFi modem, a 4G (or LTE) modem, a 5G (or NR) modem, and/or other types of modems. The one or more modems 476 and the one or more wireless transceivers 478 can be used for communicating data for the one or more SIMs 474.

The computing system 470 can also include (and/or be in communication with) one or more non-transitory machine-readable storage media or storage devices (e.g., one or more memory devices 486) , which can include, without limitation, local and/or network accessible storage, a disk drive, a drive array, an optical storage device, a solid-state storage device such as a RAM and/or a ROM, which can be programmable, flash-updateable and/or the like. Such storage devices may be configured to implement any appropriate data storage, including without limitation, various file systems, database structures, and/or the like.

In various aspects, functions may be stored as one or more computer-program products (e.g., instructions or code) in memory device (s) 486 and executed by the one or more processor (s) 484 and/or the one or more DSPs 482. The computing system 470 can also include software elements (e.g., located within the one or more memory devices 486) , including, for example, an operating system, device drivers, executable libraries, and/or other code, such as one or more application programs, which may comprise computer programs implementing the functions provided by various aspects, and/or may be designed to implement methods and/or configure systems, as described herein.

In some aspects, the electronic device 407 can include means for performing operations described herein. The means can include one or more of the components of the computing system 470. For example, the means for performing operations described herein may include one or more of input device (s) 472, SIM (s) 474, modems (s) 476, wireless transceiver (s) 478, output device (s) 480, DSP (s) 482, processors 484, memory device (s) 486, and/or antenna (s) 487.

In some aspects, the electronic device 407 can include means for providing joint communications and sensing as well as a means for utilizing UE for measurement fusion in multi-target sensing, for example, when multiplexing sensing and communication signals for joint communications and sensing (JCS) . In some examples, any or all of these means can include the one or more wireless transceivers 478, the one or more modems 476, the one or more processors 484, the one or more DSPs 482, the one or more memory devices 486, any combination thereof, or other component (s) of the electronic device 407.

FIG. 5 is a diagram illustrating an example of a wireless device 500 utilizing RF monostatic sensing technique for determining one or more characteristics (e.g., location, speed or velocity, heading, etc. ) of a target 502 object. In particular, FIG. 5 is a diagram illustrating an example of a wireless device 500 (e.g., a transmit/receive sensing node) that utilizes RF sensing techniques (e.g., monostatic sensing) to perform one or more functions, such as detecting a presence and location of a target 502 (e.g., an object, user, or vehicle) , which in this figure is illustrated in the form of a vehicle.

In some examples, the wireless device 500 can be a mobile phone, a tablet computer, a wearable device, a vehicle, an extending reality (XR) device, a computing device or component of a vehicle, or other device (e.g., device 407 of FIG. 4) that includes at least one RF interface. In some examples, the wireless device 500 can be a device that provides connectivity for a user device (e.g., for electronic device 407 of FIG. 4) , such as a base station (e.g., a gNB, eNB, etc. ) , a wireless access point (AP) , or other device that includes at least one RF interface.

In some aspects, wireless device 500 can include one or more components for transmitting an RF signal. The wireless device 500 can include at least one processor 522 for generating a digital signal or waveform. The wireless device 500 can also include a digital-to-analog converter (DAC) 504 that is capable of receiving the digital signal or waveform from the processor (s) 522 (e.g., a microprocessor) , and converting the digital signal or waveform to an analog waveform. The analog signal that is the output of the DAC 504 can be provided to RF transmitter 506 for transmission. The RF transmitter 506 can be a Wi-Fi transmitter, a 5G/NR transmitter, a Bluetooth^TM transmitter, or any other transmitter capable of transmitting an RF signal.

RF transmitter 506 can be coupled to one or more transmitting antennas such as Tx antenna 512. In some examples, transmit (Tx) antenna 512 can be an omnidirectional antenna that is capable of transmitting an RF signal in all directions. For example, Tx antenna 512 can be an omnidirectional Wi-Fi antenna that can radiate Wi-Fi signals (e.g., 2.4 GHz, 5 GHz, 6 GHz, etc. ) in a 360-degree radiation pattern. In another example, Tx antenna 512 can be a directional antenna that transmits an RF signal in a particular direction.

In some examples, wireless device 500 can also include one or more components for receiving an RF signal. For example, the receiver lineup in wireless device 500 can include one or more receiving antennas such as a receive (Rx) antenna 514. In some examples, Rx antenna 514 can be an omnidirectional antenna capable of receiving RF signals from multiple directions. In other examples, Rx antenna 514 can be a directional antenna that is configured to receive signals from a particular direction. In further examples, the Tx antenna 512 and/or the Rx antenna 514 can include multiple antennas (e.g., elements) configured as an antenna array (e.g., a phase antenna array) .

Wireless device 500 can also include an RF receiver 510 that is coupled to Rx antenna 514. RF receiver 510 can include one or more hardware components for receiving an RF waveform such as a Wi-Fi signal, a Bluetooth^TM signal, a 5G/NR signal, or any other RF signal. The output of RF receiver 510 can be coupled to an analog-to-digital converter (ADC) 508. ADC 508 can be configured to convert the received analog RF waveform into a digital waveform. The digital waveform that is the output of the ADC 508 can be provided to the processor (s) 522 for processing. The processor (s) 522 (e.g., a digital signal processor (DSP) ) can be configured for processing the digital waveform.

In one example, wireless device 500 can implement RF sensing techniques, for example monostatic sensing techniques, by causing a Tx waveform 516 to be transmitted from Tx antenna 512. Although Tx waveform 516 is illustrated as a single line, in some cases, Tx waveform 516 can be transmitted in all directions by an omnidirectional Tx antenna 512. In one example, Tx waveform 516 can be a Wi-Fi waveform that is transmitted by a Wi-Fi transmitter in wireless device 500. In some cases, Tx waveform 516 can correspond to a Wi-Fi waveform that is transmitted at or near the same time as a Wi-Fi data communication signal or a Wi-Fi control function signal (e.g., a beacon transmission) . In some examples, Tx waveform 516 can be transmitted using the same or a similar frequency resource as a Wi-Fi data communication signal or a Wi-Fi control function signal (e.g., a beacon transmission) . In some aspects, Tx waveform 516 can correspond to a Wi-Fi waveform that is transmitted separately from a Wi-Fi data communication signal and/or a Wi-Fi control signal (e.g., Tx waveform 516 can be transmitted at different times and/or using a different frequency resource) .

In some examples, Tx waveform 516 can correspond to a 5G NR waveform that is transmitted at or near the same time as a 5G NR data communication signal or a 5G NR control function signal. In some examples, Tx waveform 516 can be transmitted using the same or a similar frequency resource as a 5G NR data communication signal or a 5G NR control function signal. In some aspects, Tx waveform 516 can correspond to a 5G NR waveform that is transmitted separately from a 5G NR data communication signal and/or a 5G NR control signal (e.g., Tx waveform 516 can be transmitted at different times and/or using a different frequency resource) .

In some aspects, one or more parameters associated with Tx waveform 516 can be modified that may be used to increase or decrease RF sensing resolution. The parameters may include frequency, bandwidth, number of spatial streams, the number of antennas configured to transmit Tx waveform 516, the number of antennas configured to receive a reflected RF signal (e.g., Rx waveform 518) corresponding to Tx waveform 516, the number of spatial links (e.g., number of spatial streams multiplied by number of antennas configured to receive an RF signal) , the sampling rate, or any combination thereof. The transmitted waveform (e.g., Tx waveform 516) and the received waveform (e.g., Rx waveform 518) can include one or more RF sensing signals, which are also referred to as radar reference signals (RSs) .

In further examples, Tx waveform 516 can be implemented to have a sequence that has perfect or almost perfect autocorrelation properties. For instance, Tx waveform 516 can include single carrier Zadoff sequences or can include symbols that are similar to orthogonal frequency-division multiplexing (OFDM) Long Training Field (LTF) symbols. In some cases, Tx waveform 516 can include a chirp signal, as used, for example, in a Frequency-Modulated Continuous-Wave (FM-CW) radar system. In some configurations, the chirp signal can include a signal in which the signal frequency increases and/or decreases periodically in a linear and/or an exponential manner.

In some aspects, wireless device 500 can implement RF sensing techniques by performing alternating transmit and receive functions (e.g., performing a half-duplex operation) . For example, wireless device 500 can alternately enable its RF transmitter 506 to transmit the Tx waveform 516 when the RF receiver 510 is not enabled to receive (i.e. not receiving) , and enable its RF receiver 510 to receive the Rx waveform 518 when the RF transmitter 506 is not enabled to transmit (i.e. not transmitting) . When the wireless device 500 is performing a half-duplex operation, the wireless device 500 may transmit Tx waveform 516, which may be a radar RS (e.g., sensing signal) .

In other aspects, wireless device 500 can implement RF sensing techniques by performing concurrent transmit and receive functions (e.g., performing a sub-band or full-band full-duplex operation) . For example, wireless device 500 can enable its RF receiver 510 to receive at or near the same time as it enables RF transmitter 506 to transmit Tx waveform 516. When the wireless device 500 is performing a full-duplex operation (e.g., either sub-band full-duplex or full-band full-duplex) , the wireless device 500 may transmit Tx waveform 516, which may be a radar RS (e.g., sensing signal) .

In some examples, transmission of a sequence or pattern that is included in Tx waveform 516 can be repeated continuously such that the sequence is transmitted a certain number of times or for a certain duration of time. In some examples, repeating a pattern in the transmission of Tx waveform 516 can be used to avoid missing the reception of any reflected signals if RF receiver 510 is enabled after RF transmitter 506. In one example implementation, Tx waveform 516 can include a sequence having a sequence length L that is transmitted two or more times, which can allow RF receiver 510 to be enabled at a time less than or equal to L in order to receive reflections corresponding to the entire sequence without missing any information.

By implementing alternating or simultaneous transmit and receive functionality (e.g. half-duplex or full-duplex operation) , wireless device 500 can receive signals that correspond to Tx waveform 516. For example, wireless device 500 can receive signals that are reflected from objects or people that are within range of Tx waveform 516, such as Rx waveform 518 reflected from target 502. Wireless device 500 can also receive leakage signals (e.g., Tx leakage signal 520) that are coupled directly from Tx antenna 512 to Rx antenna 514 without reflecting from any objects. For example, leakage signals can include signals that are transferred from a transmitter antenna (e.g., Tx antenna 512) on a wireless device to a receive antenna (e.g., Rx antenna 514) on the wireless device without reflecting from any objects. In some cases, Rx waveform 518 can include multiple sequences that correspond to multiple copies of a sequence that are included in Tx waveform 516. In some examples, wireless device 500 can combine the multiple sequences that are received by RF receiver 510 to improve the signal to noise ratio (SNR) .

Wireless device 500 can further implement RF sensing techniques by obtaining RF sensing data associated with each of the received signals corresponding to Tx waveform 516. In some examples, the RF sensing data can include channel state information (CSI) data relating to the direct paths (e.g., leakage signal 520) of Tx waveform 516 together with data relating to the reflected paths (e.g., Rx waveform 518) that correspond to Tx waveform 516.

In some aspects, RF sensing data (e.g., CSI data) can include information that can be used to determine the manner in which an RF signal (e.g., Tx waveform 516) propagates from RF transmitter 506 to RF receiver 510. RF sensing data can include data that corresponds to the effects on the transmitted RF signal due to scattering, fading, and/or power decay with distance, or any combination thereof. In some examples, RF sensing data can include imaginary data and real data (e.g., I/Q components) corresponding to each tone in the frequency domain over a particular bandwidth.

In some examples, RF sensing data can be used by the processor (s) 522 to calculate distances and angles of arrival that correspond to reflected waveforms, such as Rx waveform 518. In further examples, RF sensing data can also be used to detect motion, determine location, detect changes in location or motion patterns, or any combination thereof. In some cases, the distance and angle of arrival of the reflected signals can be used to identify the size, position, movement, and/or orientation of targets (e.g., target 502) in the surrounding environment in order to detect target presence/proximity.

The processor (s) 522 of the wireless device 500 can calculate distances and angles of arrival corresponding to reflected waveforms (e.g., the distance and angle of arrival corresponding to Rx waveform 518) by utilizing signal processing, machine learning algorithms, any other suitable technique, or any combination thereof. In other examples, wireless device 500 can transmit or send the RF sensing data to at least one processor of another computing device, such as a server or base station, that can perform the calculations to obtain the distance and angle of arrival corresponding to Rx waveform 518 or other reflected waveforms.

In one example, the distance of Rx waveform 518 can be calculated by measuring the difference in time from reception of the leakage signal to the reception of the reflected signals. For example, wireless device 500 can determine a baseline distance of zero that is based on the difference from the time the wireless device 500 transmits Tx waveform 516 to the time it receives leakage signal 520 (e.g., propagation delay) . The processor (s) 522 of the wireless device 500 can then determine a distance associated with Rx waveform 518 based on the difference from the time the wireless device 500 transmits Tx waveform 516 to the time it receives Rx waveform 518 (e.g., time of flight, which is also referred to as round trip time (RTT) ) , which can then be adjusted according to the propagation delay associated with leakage signal 520. In doing so, the processor (s) 522 of the wireless device 500 can determine the distance traveled by Rx waveform 518 which can be used to determine the presence and movement of a target (e.g., target 502) that caused the reflection.

In further examples, the angle of arrival of Rx waveform 518 can be calculated by the processor (s) 522 by measuring the time difference of arrival of Rx waveform 518 between individual elements of a receive antenna array, such as antenna 514. In some examples, the time difference of arrival can be calculated by measuring the difference in received phase at each element in the receive antenna array.

In some cases, the distance and the angle of arrival of Rx waveform 518 can be used by processor (s) 522 to determine the distance between wireless device 500 and target 502 as well as the position of the target 502 relative to the wireless device 500. The distance and the angle of arrival of Rx waveform 518 can also be used to determine presence, movement, proximity, identity, or any combination thereof, of target 502. For example, the processor (s) 522 of the wireless device 500 can utilize the calculated distance and angle of arrival corresponding to Rx waveform 518 to determine that the target 502 is moving towards wireless device 500.

As noted above, wireless device 500 can include mobile devices (e.g., IoT devices, smartphones, laptops, tablets, etc. ) or other types of devices. In some examples, wireless device 500 can be configured to obtain device location data and device orientation data together with the RF sensing data. In some instances, device location data and device orientation data can be used to determine or adjust the distance and angle of arrival of a reflected signal such as Rx waveform 518. For example, wireless device 500 may be set on the ground facing the sky as a target 502 (e.g., a vehicle) moves towards it during the RF sensing process. In this instance, wireless device 500 can use its location data and orientation data together with the RF sensing data to determine the direction that the target 502 is moving.

In some examples, device position data can be gathered by wireless device 500 using techniques that include RTT measurements, time of arrival (TOA) measurements, time difference of arrival (TDOA) measurements, passive positioning measurements, angle of arrival (AOA) measurements, angle of departure (AoD) measurements, received signal strength indicator (RSSI) measurements, CSI data, using any other suitable technique, or any combination thereof. In further examples, device orientation data can be obtained from electronic sensors on the wireless device 500, such as a gyroscope, an accelerometer, a compass, a magnetometer, a barometer, any other suitable sensor, or any combination thereof.

FIG. 6 is a diagram illustrating an example of a receiver 604 utilizing RF bistatic sensing techniques with one transmitter 600 for determining one or more characteristics (e.g., location, speed or velocity, heading, etc. ) of a target 602 object. For example, the receiver 604 can use the RF bistatic sensing to detect a presence and location of a target 602 (e.g., an object, user, or vehicle) , which is illustrated in the form of a vehicle in FIG. 6.In one example, the receiver 604 may be in the form of a base station, such as a gNB.

The bistatic radar system of FIG. 6 includes a transmitter 600 (e.g., a transmit sensing node) , which in this figure is depicted to be in the form of a base station (e.g., gNB) , and a receiver 604 (e.g., a receive sensing node) that are separated by a distance comparable to the expected target distance. As compared to the monostatic system of FIG. 5, the transmitter 600 and the receiver 604 of the bistatic radar system of FIG. 6 are located remote from one another. Conversely, monostatic radar is a radar system (e.g., the system of FIG. 5) comprising a transmitter (e.g., the RF transmitter 506 of wireless device 500 of FIG. 5) and a receiver (e.g., the RF receiver 510 of wireless device 500 of FIG. 5) that are co-located with one another.

An advantage of bistatic radar (or more generally, multistatic radar, which has more than one receiver) over monostatic radar is the ability to collect radar returns reflected from a scene at angles different than that of a transmitted pulse. This can be of interest to some applications (e.g., vehicle applications, scenes with multiple objects, military applications, etc. ) where targets may reflect the transmitted energy in many directions (e.g., where targets are specifically designed to reflect in many directions) , which can minimize the energy that is reflected back to the transmitter. It should be noted that, in one or more examples, a monostatic system can coexist with a multistatic radar system, such as when the transmitter also has a co-located receiver.

In some examples, the transmitter 600 and/or the receiver 604 of FIG. 6 can be a mobile phone, a tablet computer, a wearable device, a vehicle, or other device (e.g., device 407 of FIG. 4) that includes at least one RF interface. In some examples, the transmitter 600 and/or the receiver 604 can be a device that provides connectivity for a user device (e.g., for IoT device 407 of FIG. 4) , such as a base station (e.g., a gNB, eNB, etc. ) , a wireless access point (AP) , or other device that includes at least one RF interface.

In some aspects, transmitter 600 can include one or more components for transmitting an RF signal. The transmitter 600 can include at least one processor (e.g., the at least one processor 522 of FIG. 5) that is capable of determining signals (e.g., determining the waveforms for the signals) to be transmitted. The transmitter 600 can also include an RF transmitter (e.g., the RF transmitter 506 of FIG. 5) for transmission of a Tx signal comprising Tx waveform 616. The RF transmitter can be a transmitter configured to transmit cellular or telecommunication signals (e.g., a transmitter configured to transmit 5G/NR signals, 4G/LTE signals, or other cellular/telecommunication signals, etc. ) , a Wi-Fi transmitter, a Bluetooth^TM transmitter, any combination thereof, or any other transmitter capable of transmitting an RF signal.

The RF transmitter can be coupled to one or more transmitting antennas, such as a Tx antenna (e.g., the TX antenna 512 of FIG. 5) . In some examples, a Tx antenna can be an omnidirectional antenna that is capable of transmitting an RF signal in all directions, or a directional antenna that transmits an RF signal in a particular direction. In some examples, the Tx antenna may include multiple antennas (e.g., elements) configured as an antenna array.

The receiver 604 can include one or more components for receiving an RF signal. For example, the receiver 604 may include one or more receiving antennas, such as an Rx antenna (e.g., the Rx antenna 514 of FIG. 5) . In some examples, an Rx antenna can be an omnidirectional antenna capable of receiving RF signals from multiple directions, or a directional antenna that is configured to receive signals from a particular direction. In further examples, the Rx antenna can include multiple antennas (e.g., elements) configured as an antenna array.

The receiver 604 may also include an RF receiver (e.g., RF receiver 510 of FIG. 5) coupled to the Rx antenna. The RF receiver may include one or more hardware components for receiving an RF waveform such as a Wi-Fi signal, a Bluetooth^TM signal, a 5G/NR signal, or any other RF signal. The output of the RF receiver can be coupled to at least one processor (e.g., the at least one processor 522 of FIG. 5) . The processor (s) may be configured to process a received waveform (e.g., Rx waveform 618) .

In one or more examples, transmitter 600 can implement RF sensing techniques, for example bistatic sensing techniques, by causing a Tx waveform 616 to be transmitted from a Tx antenna. It should be noted that although the Tx waveform 616 is illustrated as a single line, in some cases, the Tx waveform 616 can be transmitted in all directions by an omnidirectional Tx antenna.

In one or more aspects, one or more parameters associated with the Tx waveform 616 may be used to increase or decrease RF sensing resolution. The parameters may include frequency, bandwidth, number of spatial streams, the number of antennas configured to transmit Tx waveform 616, the number of antennas configured to receive a reflected RF signal (e.g., Rx waveform 618) corresponding to the Tx waveform 616, the number of spatial links (e.g., number of spatial streams multiplied by number of antennas configured to receive an RF signal) , the sampling rate, or any combination thereof. The transmitted waveform (e.g., Tx waveform 616) and the received waveform (e.g., the Rx waveform 618) can include one or more radar RF sensing signals (also referred to as RF sensing RSs) .

During operation, the receiver 604 (e.g., which operates as a receive sensing node) can receive signals that correspond to Tx waveform 616, which is transmitted by the transmitter 600 (e.g., which operates as a transmit sensing node) . For example, the receiver 604 can receive signals that are reflected from objects or people that are within range of the Tx waveform 616, such as Rx waveform 618 reflected from target 602. In some cases, the Rx waveform 618 can include multiple sequences that correspond to multiple copies of a sequence that are included in the Tx waveform 616. In some examples, the receiver 604 may combine the multiple sequences that are received to improve the SNR.

In some examples, RF sensing data can be used by at least one processor within the receiver 604 to calculate distances, angles of arrival, or other characteristics that correspond to reflected waveforms, such as the Rx waveform 618. In other examples, RF sensing data can also be used to detect motion, determine location, detect changes in location or motion patterns, or any combination thereof. In some cases, the distance and angle of arrival of the reflected signals can be used to identify the size, position, movement, and/or orientation of targets (e.g., target 602) in the surrounding environment in order to detect target presence/proximity.

The processor (s) of the receiver 604 can calculate distances and angles of arrival corresponding to reflected waveforms (e.g., the distance and angle of arrival corresponding to the Rx waveform 618) by using signal processing, machine learning algorithms, any other suitable technique, or any combination thereof. In other examples, the receiver 604 can transmit or send the RF sensing data to at least one processor of another computing device, such as a server, that can perform the calculations to obtain the distance and angle of arrival corresponding to the Rx waveform 618 or other reflected waveforms.

In one or more examples, the angle of arrival of the Rx waveform 618 can be calculated by a processor (s) of the receiver 604 by measuring the time difference of arrival of the Rx waveform 618 between individual elements of a receive antenna array of the receiver 604. In some examples, the time difference of arrival can be calculated by measuring the difference in received phase at each element in the receive antenna array.

In some cases, the distance and the angle of arrival of the Rx waveform 618 can be used by the processor (s) of the receiver 604 to determine the distance between the receiver 604 and the target 602 as well as the position of target 602 relative to the receiver 604. The distance and the angle of arrival of the Rx waveform 618 can also be used to determine presence, movement, proximity, identity, or any combination thereof, of the target 602. For example, the processor (s) of the receiver 604 may use the calculated distance and angle of arrival corresponding to the Rx waveform 618 to determine that the target 602 is moving towards the receiver 604.

FIG. 7 is a diagram illustrating an example of a receiver 704, in the form of a smart phone, utilizing RF bistatic sensing techniques with multiple transmitters (including a transmitter 700a, a transmitter 700b, and a transmitter 700c) , which may be employed to determine one or more characteristics (e.g., location, velocity or speed, heading, etc. ) of a target 702 object. For example, the receiver 704 may use RF bistatic sensing to detect a presence and location of a target 702 (e.g., an object, user, or vehicle) . The target 702 is depicted in FIG. 7 in the form of an object that does not have communications capabilities (which can be referred to as a device-free object) , such as a person, a vehicle (e.g., a vehicle without the ability to transmit and receive messages, such as using C-V2X or DSRC protocols) , or other device-free object. The bistatic radar system of FIG. 7 is similar to the bistatic radar system of FIG. 6, except that the bistatic radar system of FIG. 7 has multiple transmitters 700a, 700b, 700c, while the bistatic radar system of FIG. 6 has only one transmitter 600.

The bistatic radar system of FIG. 7 includes multiple transmitters 700a, 700b, 700c (e.g., transmit sensing nodes) , which are illustrated to be in the form of base stations. The bistatic radar system of FIG. 7 also includes a receiver 704 (e.g., a receive sensing node) , which is depicted in the form of a smart phone. The each of the transmitters 700a, 700b, 700c is separated from the receiver 704 by a distance comparable to the expected distance from the target 702. Similar to the bistatic system of FIG. 6, the transmitters 700a, 700b, 700c and the receiver 704 of the bistatic radar system of FIG. 7 are located remote from one another.

In one or more examples, the transmitters 700a, 700b, 700c and/or the receiver 704 may each be a mobile phone, a tablet computer, a wearable device, a vehicle (e.g., a vehicle configured to transmit and receive communications according to C-V2X, DSRC, or other communication protocol) , or other device (e.g., device 407 of FIG. 4) that includes at least one RF interface. In some examples, the transmitters 700a, 700b, 700c and/or the receiver 704 may each be a device that provides connectivity for a user device (e.g., for IoT device 407 of FIG. 4) , such as a base station (e.g., a gNB, eNB, etc. ) , a wireless access point (AP) , or other device that includes at least one RF interface.

The transmitters 700a, 700b, 700c may include one or more components for transmitting an RF signal. Each of the transmitters 700a, 700b, 700c may include at least one processor (e.g., the processor (s) 522 of FIG. 5) that is capable of determining signals (e.g., determining the waveforms for the signals) to be transmitted. Each of the transmitters 700a, 700b, 700c can also include an RF transmitter (e.g., the RF transmitter 506 of FIG. 5) for transmission of Tx signals comprising Tx waveforms 716a, 716b, 716c, 720a, 720b, 720c. In one or more examples, Tx waveforms 716a, 716b, 716c are RF sensing signals, and Tx waveforms 720a, 720b, 720c are communications signals. In one or more examples, the Tx waveforms 720a, 720b, 720c are communications signals that may be used for scheduling transmitters (e.g., transmitters 700a, 700b, 700c) and receivers (e.g., receiver 704) for performing RF sensing of a target (e.g., target 702) to obtain location information regarding the target. The RF transmitter can be a transmitter configured to transmit cellular or telecommunication signals (e.g., a transmitter configured to transmit 5G/NR signals, 4G/LTE signals, or other cellular/telecommunication signals, etc. ) , a Wi-Fi transmitter, a Bluetooth^TM transmitter, any combination thereof, or any other transmitter capable of transmitting an RF signal.

The RF transmitter may be coupled to one or more transmitting antennas, such as a Tx antenna (e.g., the TX antenna 512 of FIG. 5) . In one or more examples, a Tx antenna can be an omnidirectional antenna that is capable of transmitting an RF signal in all directions, or a directional antenna that transmits an RF signal in a particular direction. The Tx antenna may include multiple antennas (e.g., elements) configured as an antenna array.

The receiver 704 of FIG. 7 may include one or more components for receiving an RF signal. For example, the receiver 704 can include one or more receiving antennas, such as an Rx antenna (e.g., the Rx antenna 514 of FIG. 5) . In one or more examples, an Rx antenna can be an omnidirectional antenna capable of receiving RF signals from multiple directions, or a directional antenna that is configured to receive signals from a particular direction. In some examples, the Rx antenna may include multiple antennas (e.g., elements) configured as an antenna array (e.g., a phase antenna array) .

The receiver 704 can also include an RF receiver (e.g., RF receiver 510 of FIG. 5) coupled to the Rx antenna. The RF receiver may include one or more hardware components for receiving an RF waveform such as a Wi-Fi signal, a Bluetooth^TM signal, a 5G/NR signal, or any other RF signal. The output of the RF receiver can be coupled to at least one processor (e.g., the processor (s) 522 of FIG. 5) . The processor (s) may be configured to process a received waveform (e.g., Rx waveform 718, which is a reflection (echo) RF sensing signal) .

In some examples, the transmitters 700a, 700b, 700c can implement RF sensing techniques, for example bistatic sensing techniques, by causing Tx waveforms 716a, 716b, 716c (e.g., radar sensing signals) to be transmitted from a Tx antenna associated with each of the transmitters 700a, 700b, 700c. Although the Tx waveforms 716a, 716b, 716c are illustrated as single lines, in some cases, the Tx waveforms 716a, 716b, 716c may be transmitted in all directions (e.g., by an omnidirectional Tx antenna associated with each of the transmitters 700a, 700b, 700c) .

In one or more aspects, one or more parameters associated with the Tx waveforms 716a, 716b, 716c may be used to increase or decrease RF sensing resolution. The parameters can include, but are not limited to, frequency, bandwidth, number of spatial streams, the number of antennas configured to transmit Tx waveforms 716a, 716b, 716c, the number of antennas configured to receive a reflected (echo) RF signal (e.g., Rx waveform 718) corresponding to each of the Tx waveforms 716a, 716b, 716c, the number of spatial links (e.g., number of spatial streams multiplied by number of antennas configured to receive an RF signal) , the sampling rate, or any combination thereof. The transmitted waveforms (e.g., Tx waveforms 716a, 716b, 716c) and the received waveforms (e.g., the Rx waveform 718) may include one or more radar RF sensing signals (also referred to as RF sensing RSs) . It should be noted that although only one reflected sensing signal (e.g., Rx waveform 718) is shown in FIG. 7, it is understood that a separate reflection (echo) sensing signal will be generated by each sensing signal (e.g., Tx waveforms 716a, 716b, 716c) reflecting off of the target 702.

During operation of the system of FIG. 7, the receiver 704 (e.g., which operates as a receive sensing node) can receive signals that correspond to Tx waveforms 716a, 716b, 716c, which are transmitted by the transmitters 700a, 700b, 700c (e.g., which each operate as a transmit sensing node) . The receiver 704 can receive signals that are reflected from objects or people that are within range of the Tx waveforms 716a, 716b, 716c, such as Rx waveform 718 reflected from the target 702. In one or more examples, the Rx waveform 718 may include multiple sequences that correspond to multiple copies of a sequence that are included in its corresponding Tx waveform 716a, 716b, 716c. In some examples, the receiver 704 may combine the multiple sequences that are received to improve the SNR.

In some examples, RF sensing data can be used by at least one processor within the receiver 704 to calculate distances, angles of arrival (AOA) , TDOA, angle of departure (AoD) , or other characteristics that correspond to reflected waveforms (e.g., Rx waveform 718) . In further examples, RF sensing data can also be used to detect motion, determine location, detect changes in location or motion patterns, or any combination thereof. In one or more examples, the distance and angle of arrival of the reflected signals can be used to identify the size, position, movement, and/or orientation of targets (e.g., target 702) in order to detect target presence/proximity.

The processor (s) of the receiver 704 can calculate distances and angles of arrival corresponding to reflected waveforms (e.g., the distance and angle of arrival corresponding to the Rx waveform 718) by using signal processing, machine learning algorithms, any other suitable technique, or any combination thereof. In one or more examples, the receiver 704 can transmit or send the RF sensing data to at least one processor of another computing device, such as a server, that can perform the calculations to obtain the distance and angle of arrival corresponding to the Rx waveform 718 or other reflected waveforms (not shown) .

In one or more examples, a processor (s) of the receiver 704 can calculate the angle of arrival (AOA) of the Rx waveform 718 by measuring the TDOA of the Rx waveform 718 between individual elements of a receive antenna array of the receiver 704. In some examples, the TDOA can be calculated by measuring the difference in received phase at each element in the receive antenna array. In one illustrative example, to determine TDOA, the processor (s) can determine the difference time of arrival of the Rx waveform 718 to the receive antenna array elements, using one of them as a reference. The time difference is proportional to distance differences.

In some cases, the processor (s) of the receiver 704 can use the distance, the AOA, the TDOA, other measured information (e.g., AoD, etc. ) , any combination thereof, of the Rx waveform 718 to determine the distance between the receiver 704 and the target 702, and determine the position of target 702 relative to the receiver 704. In one example, the processor (s) can apply a multilateration or other location-based algorithm using the distance, AOA, and/or TDOA information as input to determine a position (e.g., 3D position) of the target 702. In other examples, the processor (s) can use the distance, the AOA, and/or the TDOA of the Rx waveform 718 to determine a presence, movement (e.g., velocity or speed, heading or direction or movement, etc. ) , proximity, identity, any combination thereof, or other characteristic of the target 702. For instance, the processor (s) of the receiver 704 may use the distance, the AOA, and/or the TDOA corresponding to the Rx waveform 718 to determine that the target is moving towards the receiver 704.

FIG. 8 is a diagram illustrating geometry for bistatic (or monostatic) sensing. FIG. 8 shows a bistatic radar North-reference coordinate system in two-dimensions. In particular, FIG. 8 shows a coordinate system and parameters defining bistatic radar operation in a plane (referred to as a bistatic plane) containing a transmitter 800, a receiver 804, and a target 802. A bistatic triangle lies in the bistatic plane. The transmitter 800, the target 802, and the receiver 804 are shown in relation to one another. The transmitter 800 and the receiver 804 are separated by a baseline distance L. The extended baseline is defined as continuing the baseline distance L beyond either the transmitter 800 or the receiver 804. The target 802 and the transmitter 800 are separated by a distance R_T, and the target 802 and the receiver 804 are separated by a distance R_R.

Angles θ_T and θ_R are, respectively, the transmitter 800 and receiver 804 look angles, which are taken as positive when measured clockwise from North (N) . The angles θ_T and θ_R are also referred to as angles of arrival (AOA) or lines of sight (LOS) . A bistatic angle (β) is the angle subtended between the transmitter 800, the target 802, and the receiver 804 in the radar. In particular, the bistatic angle is the angle between the transmitter 800 and the receiver 804 with the vertex located at the target 802. The bistatic angle is equal to the transmitter 800 look angle minus the receiver 804 look angle θ_R (e.g., β = θ_T –θ_R) .

When the bistatic angle is exactly zero (0) , the radar is considered to be a monostatic radar; when the bistatic angle is close to zero, the radar is considered to be pseudo-monostatic; and when the bistatic angle is close to 180 degrees, the radar is considered to be a forward scatter radar. Otherwise, the radar is simply considered to be, and referred to as, a bistatic radar. The bistatic angle (β) can be used in determining the radar cross section of the target.

FIG. 9 is a diagram illustrating an example of a bistatic range 910 of bistatic sensing. In this figure, a transmitter (Tx) 900, a target 902, and a receiver (Rx) 904 of a radar are shown in relation to one another. The transmitter 900 and the receiver 904 are separated by a baseline distance L, the target 902 and the transmitter 900 are separated by a distance Rtx, and the target 902 and the receiver 904 are separated by a distance Rrx.

Bistatic range 910 (shown as an ellipse) refers to the measurement range made by radar with a separate transmitter 900 and receiver 904 (e.g., the transmitter 900 and the receiver 904 are located remote from one another) . The receiver 904 measures the time of arrival from when the signal is transmitted by the transmitter 900 to when the signal is received by the receiver 904 from the transmitter 900 via the target 902. The bistatic range 910 defines an ellipse of constant bistatic range, referred to an iso-range contour, on which the target 902 lies, with foci centered on the transmitter 900 and the receiver 904. If the target 902 is at range Rrx from the receiver 904 and range Rtx from the transmitter 900, and the receiver 904 and the transmitter 900 are located a distance L apart from one another, then the bistatic range is equal to Rrx + Rtx -L. It should be noted that motion of the target 902 causes a rate of change of bistatic range, which results in bistatic Doppler shift.

Generally, constant bistatic range points draw an ellipsoid, with the transmitter 900 and the receiver 904 positions as the focal points. The bistatic iso-range contours are where the ground slices the ellipsoid. When the ground is flat, this intercept forms an ellipse (e.g., bistatic range 910) . Note that except when the two platforms have equal altitude, these ellipses are not centered on a specular point.

FIG. 10 illustrates an example 1000 of wireless communication between devices based on sidelink communications. The communication may be based on a slot structure (e.g., the slot structure as shown in FIG. 3) . For example, transmitting UE 1002 may transmit a transmission 1014, e.g., comprising a control channel and/or a corresponding data channel, that may be received by receiving UEs 1004, 1006, 1008. At least one UE may be in the form of an autonomous vehicle or an unmanned aerial vehicle. A control channel may include information for decoding a data channel and may also be used by receiving device to avoid interference by refraining from transmitting on the occupied resources during a data transmission. The number of transmission time intervals (TTIs) , as well as the RBs, that will be occupied by the data transmission, may be indicated in a control message from the transmitting device. The UEs 1002, 1004, 1006, 1008 may each be capable of operating as a transmitting device in addition to operating as a receiving device. Thus, UEs 1006, 1008 are illustrated as transmitting transmissions 1016, 1020. The transmissions 1014, 1016, 1020 (and 1018 by a network device 1007, such as a roadside unit) may be broadcast or multicast to nearby devices. For example, UE 1014 may transmit communication intended for receipt by other UEs within a range 1001 of UE 1014. Additionally or alternatively, network device 1007 may receive communication from and/or transmit communication 1018 to UEs 1002, 1004, 1006, 1008. UEs 1002, 1004, 1006, 1008 or network device 1007 may include a detection component. UEs 1002, 1004, 1006, 1008 or network device 1007 may also include a vehicle-based safety message or mitigation component.

Examples of comb structures for reference signals (e.g., a PRS, SRS, etc. ) are shown in FIG. 11. For example, the comb structure 1110 is a comb-2 structure with two symbols (denoted as a comb-2/2-symbol structure) . According to the comb-2/2-symbol structure of the comb structure 1110, every alternate symbol is assigned to the reference signal resources. The comb patterns in FIG. 11 are for one Transmission-Reception Point (TRP) . A summary of the comb structures 1110, 1112, 1114, 1116, 1118, 1120, 1122, and 1124 are provided in Table 2 below:

Table 2

As previously noted, systems and techniques are described herein that apply solutions associated with utilizing UE for measurement fusion in multi-target sensing. FIG. 12 is a diagram illustrating an example of a system 1200 for applying solutions (e.g., methods or rules) for utilizing UE for measurement fusion in multi-target sensing. In FIG. 12, the system 1200 is shown to include a network device 1210 in the form of a UE. The network device 1210 (e.g., UE) can operate as a radar Rx for sensing purposes. Also shown is a network device 1220 in the form of a base station (e.g., gNB or a portion of a gNB, such as a CU, DU, RU, Near-RT RIC, Non-RT RIC, etc. ) . The network device 1220 (e.g., gNB) can operate as a radar Tx for sensing purposes. The system 1200 also includes a plurality of network entities 1240, 1250, where network entity 1240 is in the form of a radar server and network entity 1250 is in the form of a location server.

The system 1200 may include more or less network devices and/or more or less network entities, than as shown in FIG. 12. In addition, the system 1200 may include different types of network devices (e.g., vehicles) and/or different types of network entities (e.g., network servers) than as shown in FIG. 12. Also, a UE may be employed as the radar Tx instead of a base station (e.g., gNB) as is shown in FIG. 12. In addition, in one or more examples, the network device 1210 (e.g., UE) may be equipped with heterogeneous capability, which may include, but is not limited to, 4G/5G cellular connectivity, GPS capability, camera capability, radar capability, and/or LIDAR capability. The network devices 1210, 1220 and network entities 1240, 1250 may be capable of performing wireless communications with each other via communications signals (e.g., signals 1270a, 1270b, 1270c, 1270d) .

In one or more examples, the network devices 1210, 1220 may be capable of transmitting and receiving sensing signals of some kind (e.g., camera, RF sensing signals, optical sensing signals, etc. ) . In some cases, the network devices 1210, 1220 may transmit and receive sensing signals (e.g., RF sensing signals 1260a, 1260b) for using one or more sensors to detect nearby targets (e.g., target 1230, which is in the form of a vehicle) . In some cases, the network devices 1210, 1220 can detect nearby targets based on one or more images or frames captured using one or more cameras.

The network device 1220, which may operate as a radar Tx, may perform RF sensing (e.g., bistatic sensing or monostatic sensing) of at least one target (e.g., target 1230) to obtain RF sensing measurements (e.g., Doppler, RTT, TOA, and/or TDOA measurements) of the target (s) (e.g., target 1230) . The RF sensing measurements of the target (s) (e.g., target 1230) can be used (e.g., by at least one processor (s) of at least one of the network devices 1210, 1220 and/or at least one of the network entities 1240, 1250) to determine one or more characteristics (e.g., speed, location, distance, movement, heading, size, and/or other characteristics) of the target (s) (e.g., target 1230) .

As noted previously, sensing can include monitoring moving targets (e.g., target 1230) with different motions (e.g., a moving car or pedestrian, a body motion of a person, such as breathing, and/or other micro-motions related to a target) . Doppler, which measures the phase variation in a signal and is indicative of motion, is an important characteristic for sensing of a target (e.g., target 1230) . As such, in order to obtain an accurate estimation of the motion of the target, the phase of the signal should be continuous (e.g., the signal should maintain phase continuity) .

During operation of the system 1200, for example when performing bistatic sensing of a target (e.g., target 1230) , a network device 1220 (e.g., base station) , operating as a radar Tx, may transmit an RF sensing signal 1260a towards the target (e.g., target 1230) . The RF sensing signal 1260a may be included within communication signals and sensing signals multiplexed (e.g., via time division multiplexing and/or frequency division multiplexing) together for joint communications and sensing purposes. The sensing signal 1260a can reflect off of the target (e.g., target 1230) to produce an RF reflection sensing signal 1260b, which may be reflected towards network device 1210 (e.g., UE) . The network device 1210 (e.g., UE) , operating as a radar Rx, can receive the reflection sensing signal 1260b. After the network device (e.g., UE) receives the reflection sensing signal 1260b, the network device (e.g., UE) can obtain measurements (e.g., Doppler, RTT, TOA, and/or TDOA measurements) of the reflection sensing signal 1260b. At least one processor (e.g., processor 2210 of FIG. 22) of at least one of the network devices 1210, 1220 and/or at least one of the network entities 1240, 1250 may then determine or compute the characteristics (e.g., speed, location, distance, movement, heading, size, etc. ) of the target (e.g., target 1230) by using sensing measurements (e.g., Doppler, RTT, TOA, and/or TDOA measurements) from the received reflection sensing signal 1260b.

In some examples, the network device 1210 (e.g., UE) may transmit the measurements (e.g., Doppler, RTT, TOA, and/or TDOA measurements) and/or determined characteristics (e.g., speed, location, distance, movement, heading, size, etc. ) of the target (e.g., target 1230) to the network device 1220 (e.g., base station) and/or network entity 1240 (e.g., radar server) via communication signals 1270a, 1270b. The network device 1220 (e.g., base station) and/or network entity 1240 (e.g., radar server) may then transmit the measurements (e.g., Doppler, RTT, TOA, and/or TDOA measurements) and/or determined characteristics (e.g., speed, location, distance, movement, heading, size, etc. ) of the target (e.g., target 1230) to the network entity 1240 (e.g., radar server) and/or network entity 1250 (e.g., location server such as a location management function (LMF) ) via communication signals 1270c, 1270d.

Various radar functions may be realized by communication devices (e.g., UEs, such as in the form of smart phones, or base stations, such as gNBs) because the communication devices have similar hardware and operate using similar frequency bands to radar devices (e.g., sensing devices, such as a sensing transmitters and/or receivers) . In ISAC systems, communication devices (e.g., UEs or base stations) may perform sensing (e.g., similar to radar device) to detect targets (e.g., device-free objects) as well as measure the velocity of the targets. A device-free object can defined as an object (e.g., a target) that does not have communication equipment or is not capable of communicating with the ISAC system devices (e.g., the communication devices, which may be operating as sensing devices, within the ISAC system) . For device-free target localization, measurements of a distance and an angle for the target are needed to determine a location of the target. The distance and angle for a target may be obtained by bistatic sensing of the target.

FIG. 13 shows an example of bistatic sensing of a target to determine a distance and an angle of the target for localization of the target. In particular, FIG. 13 is a diagram illustrating an example of a system 1300 performing bistatic sensing of a target 1320, showing an example distance 1340 and angle 1350 for the target 1320. In FIG. 13, a communication device operating as a sensing transmitter 1310 (e.g., a network device, such as a base station in the form of a gNB) , a communication device operating as a sensing receiver 1330 (e.g., a network device, such as a UE in the form of a smart phone) , and a target 1320 (e.g., a device-free target in the form of a drone) are shown. In one or more examples, the system 1300 may have more communication devices operating as sensing transmitters, more communication devices operating as sensing receivers, and/or more targets than as shown in FIG. 13.

In one or more aspects, during operation of the system 1300 for performing bistatic sensing of the target 1320, the communications device (e.g., gNB) operating as a sensing transmitter 1310 can send (e.g., transmit) a sensing reference signal 1370 towards the target 1320. The sensing reference signal 1370 can reflect off of the target 1320 to produce a reflection sensing signal 1380 radiated in a direction towards the communication device (e.g., UE) operating as a sensing receiver 1330. The communication device (e.g., UE) operating as a sensing receiver 1330 can then receive the reflection sensing signal 1380.

The communication device (e.g., UE) operating as a sensing receiver 1330 can determine a distance 1340 and an angle 1350 for the target 1320 based on the received reflection sensing signal 1380. The distance 1340 is the entire distance path traveled by the sensing reference signal 1370 and the reflection sensing signal 1380 (e.g., the distance 1340 is equal to the distance from the communication device operating as a sensing transmitter 1310 to the target 1320, and the distance from the target 1320 to the communication device operating as a sensing receiver 1330) . The angle 1350 is the angle of arrival (AOA) of the reflection sensing signal 1380 from the target 1320 to the communication device (e.g., UE) operating as a sensing receiver 1330.

The communication device (e.g., UE) operating as a sensing receiver 1330 can use the reflection sensing signal 1380 to localize (e.g., position) the target 1320 on an ellipsoid 1360, whose two focal points are located at the locations of the communication device (e.g., gNB) operating as a sensing transmitter 1310 and the communication device (e.g., UE) operating as a sensing receiver 1330, respectively. In one or more examples, the sensing reference signal 1370 may utilize the FR2 frequency band. The FR2 frequency band can provide for a high distance resolution and allow for the communication device (e.g., UE) operating as a sensing receiver 1330 to measure the angle 1350 (e.g., AOA) of the reflection sensing signal 1380 received from the target 1320. The communication device (e.g., UE) operating as a sensing receiver 1330 can determine a position of the target 1320, based on the ellipsoid 1360 and the angle 1350 (e.g., AOA) for the target 1320.

FIG. 14 shows an example processing flow that may be used (e.g., by the communication device operating as a sensing receiver 1330) for measuring the distance 1340 for the target 1330. In particular, FIG. 14 is a diagram illustrating an example of a processing flow 1400 for measuring the distance for a target. In FIG. 14, the processing flow 1400 is shown to include an inverse Fast Fourier Transform (iFFT) 1410, a channel 1420 (e.g., the channel for the sensing reference signal) , a Fast Fourier Transform (FFT) 1430, and an absolute value equation 1440. During operation for determining a distance for a target, a received reflection sensing signal (x) is entered into the processing flow 1400. After the received reflection sensing signal (x) completely passes through the processing flow 1400, the processing flow 1400 will output a range (e.g., distance) –Doppler map (e.g., graph) .

Distance introduces a linear phase shift along the frequency axis. The FR2 frequency band has a larger bandwidth than other frequency bands utilized for sensing and, as such, the FR2 frequency band can provide for a higher distance resolution than other frequency bands used for sensing. Conversely, Doppler introduces a linear phase shift only along the time axis. After the range-Doppler map is generated by the processing flow 1400, peaks in the range-Doppler map can be searched to determine the distance for the target.

In one or more examples, the communication device (e.g., UE) operating as a sensing receiver 1330 (e.g., which may include an FR2 antenna array) , can measure the angle 1350 (e.g., AOA) of the target 1320 by using the angle of the received reflection sensing signal 1380 beam. This measurement method has low complexity, but has low angle resolution because the beam has a wide beamwidth.

In some examples, the communication device (e.g., UE) operating as a sensing receiver 1330 (e.g., which may include an FR2 antenna array) can measure the angle 1350 (e.g., AOA) of the target 1320 by performing a phased-array AOA estimation. This measurement method has a high angle resolution, but has a high computation complexity because it requires using ultra-high-resolution algorithms, such as a multiple signal classification (MUSIC) algorithm and a compressive sensing algorithm, which both require extensive computation.

An ideal scenario for sensing is when there is only one target present in the system to be sensed. It can be simple to position (e.g., by a device, such as a UE, operating as a sensing receiver) a target when there is only one target present, due to the fact that there will only be one resultant measured distance path and one resultant measured angle path for the target. The target position may be calculated (e.g., by a device, such as a UE, operating as a sensing receiver) using the measured distance and measured angle for the target. However, when there are multiple targets present in the system, there will be multiple resultant measured distance paths and multiple resultant measured angle paths. Even when all of the distances and angles are measured correctly (e.g., by a device, such as a UE, operating as a sensing receiver) , the estimated position of a target (e.g., target A) can be wrong, when the measured distance of one target (e.g., target A) is incorrectly matched with the measured angle of another target (e.g., target B) .

FIGS. 15 and 16 show examples of measured distances and angles, respectively, when there are multiple targets present in the system. In particular, FIG. 15 is a diagram illustrating examples of measured distances for multi-targets. In FIG. 15, a system 1500 is shown to include a communication device (e.g., a network device, such as a UE in the form of a smart phone) operating as a receiver 1520 and multiple targets 1530a, 1530b, 1530c (e.g., device-free targets in the form of drones) . During operation of the system 1500 performing sensing of the targets 1530a, 1530b, 1530c, the communication device (e.g., UE) operating as a receiver 1520 can receive reflection sensing signals reflected off of the targets 1530a, 1530b, 1530c. The communication device (e.g., UE) operating as a receiver 1520 can process the reflection sensing signals to generate a range (e.g., distance) power spectrum.

FIG. 15 also includes a graph 1510 containing an example of a range power spectrum. For the graph 1510, the x-axis represents range in meters (m) , and the y-axis represents power in decibels (dB) . The range power spectrum on graph 1510 is shown to include multiple peaks, which each peak can represent a distance of one of the targets 1530a, 1530b, 1530c.

FIG. 16 is a diagram illustrating examples of measured angles for multi-targets. In FIG. 16, a system 1600 is shown to include a communication device (e.g., a network device, such as a UE in the form of a smart phone) operating as a receiver 1620 and multiple targets 1630a, 1630b, 1630c (e.g., device-free targets in the form of drones) . During operation of the system 1600 performing sensing of the targets 1630a, 1630b, 1630c, the communication device (e.g., UE) operating as a receiver 1620 may receive reflection sensing signals reflected off of the targets 1630a, 1630b, 1630c. The communication device (e.g., UE) operating as a receiver 1620 may process the reflection sensing signals to generate an angle (e.g., azimuth angle) power spectrum.

FIG. 16 also includes a graph 1610 containing an example of an angle (e.g., azimuth angle) power spectrum. For the graph 1610, the x-axis and y-axis represent the azimuth angle and the elevation angle in degrees, respectively, and the z-axis represents power in dB. The angle power spectrum on graph 1610 includes multiple peaks, which each peak may represent an angle (e.g., an azimuth angle and an elevation angle) of one of the targets 1630a, 1630b, 1630c.

Currently, in an attempt to overcome this problem of mismatching of measured distances and angles for sensing of multiple targets (e.g., multi-targets) , several algorithms have been introduced in the industry to match the measured distances with the measured angles for multiple targets. In one or more examples, a first algorithm is utilized that uses a same path power rank (e.g., of the distances and angles) to match the distances with the angles. This first algorithm has very low complexity, but has a low success rate for the matching. In some examples, a second algorithm is utilized that searches peaks in a distance azimuth-elevation three-dimensional (3D) spectrum. This second algorithm has a high matching success rate, but has a high complexity.

In one or more examples, a third algorithm is utilized that first calculates a distance profile, detects distance paths, and then estimates angles using a per distance profile. This third algorithm can, conversely, first calculate an angle profile, detect angle paths, and then estimate distances using a per angle profile. This third algorithm has a lower complexity than the second algorithm, but this third algorithm has a lower matching success rate as compared to the second algorithm. However, this third algorithm has a higher matching success rate than the first algorithm.

However, due to a presence of coherence between the distances and the angles for the targets, all of these algorithms (e.g., the first algorithm, the second algorithm, and the third algorithm) have a possibility of mismatching the distances with the angles for the targets. An improved technique for matching measured distances and measured angles for multi-target sensing can be useful.

In one or more aspects, systems and techniques are described herein that provide solutions for utilizing UE (e.g., a communication device operating as a sensing receiver) for measurement fusion in multi-target sensing. In some aspects, the systems and techniques employ an FR2 measurement (e.g., measurement of an FR2 reflection sensing signal) and corresponding measurement reporting enhancements to address mismatching of measured distances and angles in multi-target device-free localization. In one or more aspects, the systems and techniques can assist multi-static sensing by employing measurement fusion and by utilizing algorithms (e.g., such as the third algorithm) for matching that have a low complexity.

In one or more aspects, for matching of distances and angle paths for multi-target sensing, the systems and techniques can (e.g., as a first step) employ a communication device operating as a sensing receiver (e.g., a UE) to use a full signal profile (e.g., entire received reflection signal profile) to measure the distances and angles of the multi-targets separately. By using the full signal profile to measure the distances and angles of the multi-targets separately, a higher accuracy in both the distance and angle measurements can be achieved. The systems and techniques can (e.g., as a second step) have the communication device operating as a sensing receiver (e.g., a UE) calculate matching weights for each of the measured distances and angles. Various different methods can be utilized for calculating the matching weights.

In some aspects, the systems and techniques can (e.g., as a third step) employ a communication device operating as a sensing transmitter (e.g., a gNB) and/or a network server (e.g., sensing server) to perform a fusion of measurement results (e.g., the measured distances, measured angles, and/or the corresponding matching weights) from multiple communication devices operating as sensing receivers (e.g., UEs) to locate multiple targets in multi-static sensing to achieve a higher accuracy for the sensing.

In one or more aspects, the communication device operating as a sensing receiver (e.g., a UE) may report the measurements for single target sensing. This reporting method has a low complexity, but has a high localization error probability. The communication device operating as a sensing receiver (e.g., a UE) may only detect the strongest distance and angle paths and, as such, there is no need for distance and angle matching (e.g., the strongest distance and the strongest angle may not belong to the same target) .

In some aspects, the communication device operating as a sensing receiver (e.g., a UE) may report the measurements for multi-target sensing without fusion. This reporting method has a higher complexity than the signal target sensing reporting method, and has a high localization error probability. The communication device operating as a sensing receiver (e.g., a UE) may compute positions of multiple targets and only report the measured multiple positions, which may have errors (e.g., even with a high signal to noise ratio) caused by distance and angle mismatching.

In one or more aspects, the communication device operating as a sensing receiver (e.g., a UE) may report the measurements for multi-target sensing with fusion. This reporting method has a higher complexity than the first and second reporting methods, and has a low localization error probability. The communication device operating as a sensing receiver (e.g., a UE) may compute matching weights of each pair of distance and angle (e.g., a weight relates to the probability of the distance and the angle belonging to the same target) . The communication device operating as a sensing receiver (e.g., a UE) can report the lists of the measured ranges (e.g., distances) and angles as well as the corresponding matching weights. The communication device operating as a sensing transmitter (e.g., a gNB) or the network server (e.g., sensing server) can collect measurements from multiple communication devices operating as sensing receivers (e.g., UEs) , and can compute the positions of multiple targets by performing measurement fusion.

FIG. 17 shows an example process for the reporting method for reporting the measurements for multi-target sensing with fusion. In particular, FIG. 17 is a diagram illustrating an example of a process 1700 for reporting measurements for multiple targets (not shown in figure) . FIG. 17 also shows a system 1715 including a communication device (e.g., a network device, such as a base station in the form of a gNB) operating as a sensing transmitter 1725, and two communication devices (e.g., network devices, for example each a UE in the form of a smart phone) operating as sensing receivers 1735a, 1735b. The system 1715 may include more communication devices (e.g., gNBs) operating as sensing transmitters and/or more or less communication devices (e.g., UEs) operating as sensing receivers than as shown in FIG. 17.

During operation of the process 1700, the communication device (e.g., UE) operating as a sensing receiver 1735a can receive signals 1710 (e.g., reflection sensing signals) reflected by multiple targets. Then, the communication device (e.g., UE) operating as a sensing receiver 1735a can perform a distance measurement 1720 and an angle measurement 1730 (e.g., as discussed for the first step) . Then, the measured distances 1770 and measured angles 1780 can be inputted into a report 1745a.

The communication device (e.g., UE) operating as a sensing receiver 1735a can calculate matching weights based on an algorithm (e.g., using the third algorithm) . The communication device (e.g., UE) operating as a sensing receiver 1735a can use each distance profile (e.g., per-distance profiles 1740) to calculate the angle, and calculate the matching weight 1760 based on this angle measurement per distance 1750. The matching weights of each distance and angle can also be inputted into the report 1745a. As such, the report 1745a can contain the measured distances 1770, the measured angles 1780, and the calculated matching weights of each distance and angle 1760.

Each of the communication devices (e.g., UEs) operating as sensing receivers 1735a, 1735b can report (e.g., transmit) a report 1745a, 1745b to the communication device (e.g., gNB) operating as a sensing transmitter 1725. The communication device (e.g., gNB) operating as a sensing transmitter 1725 can perform fusion 1755 of the received measurements to determine the positions of the multiple targets with a high accuracy.

In one or more aspects, a communication device (e.g., UE) operating as a sensing receiver can calculate matching weights (e.g., in the form of a matching weight matrix) of each measured distance and angle. FIG. 18 shows a table containing an example matching weight matrix. In particular, FIG. 18 is a table 1800 illustrating an example of a matrix including matching weights (w) for measured distances and angles for multi-targets. In the table 1800 of FIG. 18, the rows 1810 of the matrix represent the angles, and the columns 1820 of the matrix represent the distances. Each weight in the matrix corresponds to a specific angle and distance. For example, weight w₁₁ corresponds to angle 1 and distance 1.

In one or more examples, matching weights may be represented as variables, which can be calculated by the communication device (e.g., UE) operating as a sensing receiver (e.g., based on equation [1] or equation [2] as discussed below) .

In some examples, the matching weights may be represented as normalized variables in the range of zero to 1 [0, 1] . For these examples, the communication device (e.g., UE) operating as a sensing receiver can normalize the results of equation [1] or equation [2] . The communication device (e.g., UE) operating as a sensing receiver can normalize the weights with the maximum number and the minimum number of weights in the weight matrix (e.g., as shown in table 1800) , or among all angles for a certain distance. For example, communication device (e.g., UE) operating as a sensing receiver can normalize the weights within a column 1820 of the weight matrix, or can force the summation of each column be equal to one (1) .

In one or more examples, the matching weights are in the set of {high, middle, low} . As such, the matching weights may each be represented as a state of high, medium, or low. For these examples, the communication device (e.g., UE) operating as a sensing receiver can select the states for the matching weights based on the results of equation [1] or equation [2] , or based on the use of other methods.

In one or more aspects, the weights can be calculated by a communication device (e.g., UE) operating as a sensing receiver, based on angles measured per distance profile. In one or more examples, assume that the distances {d₁, …, d_N} and angles {a₁, …, a_M} have been measured, respectively, by using the full profile of the received reflection sensing signal (e.g., as in the first step) . Assume that there are K number of measured anglesusing the profile of the distance d_n. Note that may not be fully equal to {a₁, …, a_M} , due to the coherence between the distance and angle. The weight w_m, n of the angle a_m matching to the distance d_n is given by:

where β is a positive factor to adjust the impact ratio of power and angle difference on the weight, is the power of the angleand ∈ is a very small positive number (e.g., ∈ = 0.01) . Note thatis the difference of two-dimensional (2D) angles, which means that the corresponding angle difference will be in the 3D space.

The closer the angle a_m measured by the full profile and the angles measured by the distance d_n profile are in value, the larger the resultant weight. The larger the power of an angle inthe larger the resultant weight.

In some aspects, the weights can be calculated by a communication device (e.g., UE) operating as a sensing receiver, based on power ranks of distances and angles. In one or more examples, assume that distances {d₁, …, d_N} and angles {a₁, …, a_M} have been measured, respectively, by using the full profile of the received reflection sensing signal (e.g., as in the first step) . The weight w_m, n of the angle a_m matching to the distance d_n is given by:

whereis the rank of power of the distance d_n in {d₁, …, d_N} , is the rank of power of the angle a_m in {a₁, …, a_M} , N is the number of distances, and M is the number of angles.

The closer the rank of power of the distance d_n and that of the angle a_m, the larger the resultant weight. For example, when andthen w_1, 1=1-2/2=0, w_2, 1=1-1/2=0.5, w_3, 1=1-0=1. The weight of angle 3 and distance 1 (e.g., w_3, 1) is equal to 1, which has the highest weight value (e.g., which can indicate that angle 3 and distance 1 belong to the same target) .

In one or more aspects, a communication device (e.g., UE) operating as a sensing receiver can perform measurements for the fusion and generate reports. In one or more examples, the communication device (e.g., UE) operating as a sensing receiver can include in the report the methods for calculating the distance and angle matching weights (e.g., as discussed with respect to FIG. 18) .

In one or more examples, the communication device (e.g., UE) operating as a sensing receiver can include in the report the measured distances and corresponding power of each distance path. In some examples, the communication device (e.g., UE) operating as a sensing receiver can include in the report the measured angles and corresponding power of each angle path.

In one or more examples, the communication device (e.g., UE) operating as a sensing receiver can include in the report the corresponding distance and angle matching weights by using a matrix format (e.g., table 1800 of FIG. 18) . In some examples, the communication device (e.g., UE) operating as a sensing receiver can quantize the weights. For example, a bit number quantization may be configured by a communication device (e.g., gNB) operating as a sensing transmitter and/or a network server (e.g., sensing server) in a sensing request, or may be a default configuration (e.g., a 3-bit quantization configuration) . If the weight matrix is normalized in the range of zero to one, for the largest and the smallest weights (e.g., one and zero, respectively) , the communication device (e.g., UE) operating as a sensing receiver may only report the indexes of the weights (e.g., there is no need to quantize those weights) .

In one or more examples, the communication device (e.g., UE) operating as a sensing receiver may optionally include in the report measured positions of the multiple targets, which may be calculated by the communication device (e.g., UE) operating as a sensing receiver itself using the matching weights. In some examples, the communication device (e.g., UE) operating as a sensing receiver may optionally include in the report the position and facing angle of the communication device (e.g., UE) operating as a sensing receiver (e.g., using a reference coordinate system) . The communication device (e.g., gNB) operating as a sensing transmitter and/or a network server (e.g., sensing server) may need the position and facing angle and the reference coordinate system information to be able to calibrate the measurements from the communication devices (e.g., UEs) operating as sensing receivers in a unified coordinate system for the fusion.

In one or more aspects, the report generated by the communication device (e.g., UE) operating as a sensing receiver may include two parts. In one or more examples, the first part of the report may include the detected number of angles/distances, when the same number of angles and distances are detected. In some examples, the report may include the detected number of angles and distances, respectively, when the number of detected angles and distances are not the same.

In one or more examples, the second part of the report can include detailed measurement results (e.g., measurements that may be contained within the report as previously discussed) . In some examples, for the second part of the report, the communication device (e.g., gNB) operating as a sensing transmitter can allocate an uplink resource for the second part of the report, based on the numbers reported in the first part of the report. The communication device (e.g., gNB) operating as a sensing transmitter can then send an uplink grant to the communication device (e.g., UE) operating as a sensing receiver for the transmission of the second part of the report. The communication device (e.g., UE) operating as a sensing receiver can send (e.g., transmit) the report using the allocated uplink resource, which can be triggered by the receiving of the uplink grant.

In one or more aspects, the communication device (e.g., UE) operating as a sensing receiver can send (e.g., transmit) the report (e.g., a first part of the report and/or a second part of the report) to the communication device (e.g., gNB) operating as a sensing transmitter and/or the network server (e.g., sensing server) by using different channels. In one or more examples, the communication device (e.g., UE) operating as a sensing receiver can send the report (e.g., a first part of the report and/or a second part of the report) to the communication device (e.g., gNB) operating as a sensing transmitter in Layer 1 via uplink control information (UCI) or uplink (UL) data. For example, the report can be sent via physical uplink control channel (PUCCH) , physical uplink shared channel (PUSCH) , or a hybrid of PUCCH/PUSCH. In some examples, a first part (e.g., part one) of the report can be sent via PUCCH, and a second part (e.g., part two) of the report can be sent via PUSCH.

In one or more examples, the communication device (e.g., UE) operating as a sensing receiver can send the report (e.g., a first part of the report and/or a second part of the report) to the communication device (e.g., gNB) operating as a sensing transmitter in Layer 2 via medium access control-control element (MAC-CE) , or in Layer 3, via radio resource control (RRC) signaling. In one or more examples, the communication device (e.g., UE) operating as a sensing receiver can send the report (e.g., a first part of the report and/or a second part of the report) to the accessibility and mobility management function (AMF) via non-access stratum (NAS) protocol. In some examples, the communication device (e.g., UE) operating as a sensing receiver can send the report (e.g., a first part of the report and/or a second part of the report) to the network server (e.g., sensing server) via a dedicated sensing protocol, such as LTE positioning protocol (LPP) .

FIG. 19 shows an example of signaling for measurement fusion and reporting of measurements. In particular, FIG. 19 is a diagram illustrating example signaling 1900 for utilizing UE for measurement fusion in multi-target sensing. In FIG. 19, a network device 1910 (e.g., a base station, such as a gNB, or a portion of the base station, such as a CU, DU, RU, and/or other portion of a disaggregated base station) is operating as a sensing transmitter, and network devices 1920a through 1920b (e.g., UE 1 through UE N, where N is an integer equal to or greater than 2) are operating as sensing receivers.

During operation, the network device 1910 operating as a sensing transmitter may transmit, to the network device 1920a through 1920b operating as sensing receivers, a message 1930 including a sensing request for multi-target measurement fusion. After the network device 1920a receives the message 1930, the network device 1920a can receive reflected sensing signals (e.g., using the FR2 frequency band) from multiple targets. The network device 1920a can then perform a measurement scheme 1940 (e.g., including performing a distance measurement, performing an angle measurement, and calculating matching weights of each distance and angle) .

The measurement scheme 1940 can include measuring distances and angles for the targets using (e.g., based on) the reflected sensing signals from the targets. The measurement scheme 1940 can also include calculating matching weights for distance-angle pairs, which each comprise one of the measured distances and one of the measured angles for the targets.

After the network device 1920a performs the measurement scheme 1940, the network device 1920a can send (e.g., transmit) to the network device 1910 a first part (e.g., part one) of a report 1950. In one illustrative example, the first part of the report can include the number of angles and/or distances of the targets.

Then, after the network device 1910 receives the first part of the report, the network device 1910 can determine a resource allocation (e.g., comprising time and frequency resources) for sending (e.g., transmitting) a second part (e.g., part two) of the report 1960, based on the numbers contained within the first part of the report. The network device 1910 can then send (e.g., transmit) to the network device 1920a an uplink grant 1970 for the second part of the report (e.g., containing the determined resource allocation for transmission of the second part of the report) .

After the network device 1920a receives the uplink grant, the network device 1920a can send (e.g., in resources of the resource allocation in the uplink grant) the second part of the report 1950 to the network device 1910. In one illustrative example, the second part of the report may include detailed measurement results 1980 (e.g., measurement results in any of the reporting formats previously discussed) . In some examples, the detailed measurement results 1980 may include the measured distances, the measured angles, and the matching weights.

After the network device 1910 receives part two (e.g., a second part) of the report (e.g., from multiple UEs) , the network device 1910 can locate the multiple targets using measurement fusion 1990 by fusing the received reports from multiple network devices (e.g., UEs) operating as sensing receivers (e.g., network devices 1920a through 1920b) . For example, the network device 1910 can determine the locations of the targets based on the matching weights and measurements (e.g., distance and angle measurements) . The network device 1910 can locate the targets by matching each of the distances with one of the angles as belonging to one of the targets, based on the matching weights.

FIG. 20 is a flow chart illustrating an example of a process 2000 for wireless communications using methods for utilizing a UE for measurement fusion in multi-target sensing. The process 2000 can be performed by a network device, such as a UE or a component or system (e.g., a chipset) of the UE. The UE may be a mobile device (e.g., a mobile phone) , a vehicle, a wearable device (e.g., a network-connected watch or other wearable device) , an extended reality (XR) device (e.g., a virtual reality (VR) or augmented reality (AR) headset or glasses) , or other type of UE. The operations of the process 2000 may be implemented as software components that are executed and run on one or more processors (e.g., processor 2210 of FIG. 22 or other processor (s) ) . Further, the transmission and reception of signals by the wireless communications device in the process 2000 may be enabled, for example, by one or more antennas and/or one or more transceivers (e.g., wireless transceiver (s) ) .

At block 2010, the network device (or component thereof) can measure a plurality of distances and a plurality of angles for a plurality of targets based on reflected sensing signals from the plurality of targets (e.g., as shown in the report 1950 of FIG. 19) . In some cases, the network device (or component thereof) can receive the reflected sensing signals from the plurality of targets. In some aspects, the network device (or component thereof) can receive, from another network device (e.g., a sensing server, a base station, such as a gNB, or a portion of the base station, such as a CU, DU, RU, and/or other portion of a disaggregated base station) , a sensing request for sensing the plurality of targets (e.g., the message 1930 of FIG. 19) .

At block 2020, the network device (or component thereof) can determine a plurality of matching weights for a plurality of distance-angle pairs. Each distance-angle pair of the plurality of distance-angle pairs includes a respective distance of the plurality of distances and a respective angle of the plurality of angles for the plurality of targets. Each distance of the plurality of distances is matched with a respective angle of the plurality of angles as belonging to a respective target of the plurality of targets based on the plurality of matching weights.

In some cases, the network device (or component thereof) can transmit, to another network device (e.g., a sensing server, a base station, such as a gNB, or a portion of the base station, such as a CU, DU, RU, and/or other portion of a disaggregated base station) , a first part of a report. The first part of the report can include a number of the plurality of distances and/or a number of the plurality of angles of the plurality of targets. In some aspects, the network device (or component thereof) can receive, from another network device (e.g., a sensing server, a base station, such as a gNB, or a portion of the base station, such as a CU, DU, RU, and/or other portion of a disaggregated base station) , an uplink grant comprising a resource allocation for transmission of a second part of a report. In some cases, the network device (or component thereof) can transmit, to the other network device in resources of the resource allocation, the second part of the report. The second part of the report can include the plurality of distances, the plurality of angles, and the plurality of matching weights.

In some examples, the network device (or component thereof) can transmit the first part of the report and/or the second part of the report to the other network device in one of Layer 1 via uplink control information (UCI) , Layer 1 via uplink (UL) data, Layer 2 via medium access control-control element (MAC-CE) , or Layer 3 via radio resource control (RRC) signaling.

In some aspects, the network device (or component thereof) can transmit, to a network server, at least one of a first part of a report or a second part of the report via a dedicated upper layer sensing protocol. In some cases, the plurality of matching weights are included in a matrix. In some examples, the plurality of matching weights are represented by at least one of variables, normalized variables, quantized variables, or states.

FIG. 21 is a flow chart illustrating an example of a process 2100 for wireless communications using methods for utilizing a UE for measurement fusion in multi-target sensing. The process 2100 can be performed by a network device, such as a base station (e.g., gNB) , a portion of a base station (e.g., one or more of a CU, DU, RU, and/or other portion of a base station having a disaggregated architecture) , or a component or system (e.g., a chipset) of the base station. The operations of the process 2100 may be implemented as software components that are executed and run on one or more processors (e.g., processor 2210 of FIG. 22 or other processor (s) ) . Further, the transmission and reception of signals by the wireless communications device in the process 2100 may be enabled, for example, by one or more antennas and/or one or more transceivers (e.g., wireless transceiver (s) ) .

At block 2110, the network device (or component thereof) can receive reports from a plurality of second network devices (e.g., a plurality of user equipment (UEs) ) . The reports include measurements for a plurality of targets and a plurality of matching weights for the measurements. In some cases, the network device (or component thereof) can transmit, to the plurality of second network devices, sensing requests (e.g., in message 1930 of FIG. 19) for sensing the plurality of targets.

At block 2110, the network device (or component thereof) can determine a plurality of locations of the plurality of targets based on the plurality of matching weights and the measurements.

FIG. 22 is a block diagram illustrating an example of a computing system 2200, which may be employed by the disclosed systems and techniques for utilizing UE for measurement fusion in multi-target sensing. In particular, FIG. 22 illustrates an example of computing system 2200, which can be, for example, any computing device making up internal computing system, a remote computing system, a camera, or any component thereof in which the components of the system are in communication with each other using connection 2205. Connection 2205 can be a physical connection using a bus, or a direct connection into processor 2210, such as in a chipset architecture. Connection 2205 can also be a virtual connection, networked connection, or logical connection.

In some aspects, computing system 2200 is a distributed system in which the functions described in this disclosure can be distributed within a datacenter, multiple data centers, a peer network, etc. In some aspects, one or more of the described system components represents many such components each performing some or all of the function for which the component is described. In some aspects, the components can be physical or virtual devices.

Example system 2200 includes at least one processing unit (CPU or processor) 2210 and connection 2205 that communicatively couples various system components including system memory 2215, such as read-only memory (ROM) 2220 and random access memory (RAM) 2225 to processor 2210. Computing system 2200 can include a cache 2212 of high-speed memory connected directly with, in close proximity to, or integrated as part of processor 2210.

Processor 2210 can include any general purpose processor and a hardware service or software service, such as services 2232, 2234, and 2236 stored in storage device 2230, configured to control processor 2210 as well as a special-purpose processor where software instructions are incorporated into the actual processor design. Processor 2210 may essentially be a completely self-contained computing system, containing multiple cores or processors, a bus, memory controller, cache, etc. A multi-core processor may be symmetric or asymmetric.

To enable user interaction, computing system 2200 includes an input device 2245, which can represent any number of input mechanisms, such as a microphone for speech, a touch-sensitive screen for gesture or graphical input, keyboard, mouse, motion input, speech, etc. Computing system 2200 can also include output device 2235, which can be one or more of a number of output mechanisms. In some instances, multimodal systems can enable a user to provide multiple types of input/output to communicate with computing system 2200.

Computing system 2200 can include communications interface 2240, which can generally govern and manage the user input and system output. The communication interface may perform or facilitate receipt and/or transmission wired or wireless communications using wired and/or wireless transceivers, including those making use of an audio jack/plug, a microphone jack/plug, a universal serial bus (USB) port/plug, an Apple^TM Lightning^TM port/plug, an Ethernet port/plug, a fiber optic port/plug, a proprietary wired port/plug, 3G, 4G, 5G and/or other cellular data network wireless signal transfer, a Bluetooth^TM wireless signal transfer, a Bluetooth^TM low energy (BLE) wireless signal transfer, an IBEACON^TM wireless signal transfer, a radio-frequency identification (RFID) wireless signal transfer, near-field communications (NFC) wireless signal transfer, dedicated short range communication (DSRC) wireless signal transfer, 802.11 Wi-Fi wireless signal transfer, wireless local area network (WLAN) signal transfer, Visible Light Communication (VLC) , Worldwide Interoperability for Microwave Access (WiMAX) , Infrared (IR) communication wireless signal transfer, Public Switched Telephone Network (PSTN) signal transfer, Integrated Services Digital Network (ISDN) signal transfer, ad-hoc network signal transfer, radio wave signal transfer, microwave signal transfer, infrared signal transfer, visible light signal transfer, ultraviolet light signal transfer, wireless signal transfer along the electromagnetic spectrum, or some combination thereof.

The communications interface 2240 may also include one or more range sensors (e.g., LIDAR sensors, laser range finders, RF radars, ultrasonic sensors, and infrared (IR) sensors) configured to collect data and provide measurements to processor 2210, whereby processor 2210 can be configured to perform determinations and calculations needed to obtain various measurements for the one or more range sensors. In some examples, the measurements can include time of flight, wavelengths, azimuth angle, elevation angle, range, linear velocity and/or angular velocity, or any combination thereof. The communications interface 2240 may also include one or more Global Navigation Satellite System (GNSS) receivers or transceivers that are used to determine a location of the computing system 2200 based on receipt of one or more signals from one or more satellites associated with one or more GNSS systems. GNSS systems include, but are not limited to, the US-based GPS, the Russia-based Global Navigation Satellite System (GLONASS) , the China-based BeiDou Navigation Satellite System (BDS) , and the Europe-based Galileo GNSS. There is no restriction on operating on any particular hardware arrangement, and therefore the basic features here may easily be substituted for improved hardware or firmware arrangements as they are developed.

Storage device 2230 can be a non-volatile and/or non-transitory and/or computer-readable memory device and can be a hard disk or other types of computer readable media which can store data that are accessible by a computer, such as magnetic cassettes, flash memory cards, solid state memory devices, digital versatile disks, cartridges, a floppy disk, a flexible disk, a hard disk, magnetic tape, a magnetic strip/stripe, any other magnetic storage medium, flash memory, memristor memory, any other solid-state memory, a compact disc read only memory (CD-ROM) optical disc, a rewritable compact disc (CD) optical disc, digital video disk (DVD) optical disc, a blu-ray disc (BDD) optical disc, a holographic optical disk, another optical medium, a secure digital (SD) card, a micro secure digital (microSD) card, a Memory card, a smartcard chip, a EMV chip, a subscriber identity module (SIM) card, a mini/micro/nano/pico SIM card, another integrated circuit (IC) chip/card, random access memory (RAM) , static RAM (SRAM) , dynamic RAM (DRAM) , read-only memory (ROM) , programmable read-only memory (PROM) , erasable programmable read-only memory (EPROM) , electrically erasable programmable read-only memory (EEPROM) , flash EPROM (FLASHEPROM) , cache memory (e.g., Level 1 (L1) cache, Level 2 (L2) cache, Level 3 (L3) cache, Level 4 (L4) cache, Level 5 (L5) cache, or other (L#) cache) , resistive random-access memory (RRAM/ReRAM) , phase change memory (PCM) , spin transfer torque RAM (STT-RAM) , another memory chip or cartridge, and/or a combination thereof.

The storage device 2230 can include software services, servers, services, etc., that when the code that defines such software is executed by the processor 2210, it causes the system to perform a function. In some aspects, a hardware service that performs a particular function can include the software component stored in a computer-readable medium in connection with the necessary hardware components, such as processor 2210, connection 2205, output device 2235, etc., to carry out the function. The term “computer-readable medium” includes, but is not limited to, portable or non-portable storage devices, optical storage devices, and various other mediums capable of storing, containing, or carrying instruction (s) and/or data. A computer-readable medium may include a non-transitory medium in which data can be stored and that does not include carrier waves and/or transitory electronic signals propagating wirelessly or over wired connections. Examples of a non-transitory medium may include, but are not limited to, a magnetic disk or tape, optical storage media such as compact disk (CD) or digital versatile disk (DVD) , flash memory, memory or memory devices. A computer-readable medium may have stored thereon code and/or machine-executable instructions that may represent a procedure, a function, a subprogram, a program, a routine, a subroutine, a module, a software package, a class, or any combination of instructions, data structures, or program statements. A code segment may be coupled to another code segment or a hardware circuit by passing and/or receiving information, data, arguments, parameters, or memory contents. Information, arguments, parameters, data, etc. may be passed, forwarded, or transmitted via any suitable means including memory sharing, message passing, token passing, network transmission, or the like.

Specific details are provided in the description above to provide a thorough understanding of the aspects and examples provided herein, but those skilled in the art will recognize that the application is not limited thereto. Thus, while illustrative aspects of the application have been described in detail herein, it is to be understood that the inventive concepts may be otherwise variously embodied and employed, and that the appended claims are intended to be construed to include such variations, except as limited by the prior art. Various features and aspects of the above-described application may be used individually or jointly. Further, aspects can be utilized in any number of environments and applications beyond those described herein without departing from the broader scope of the specification. The specification and drawings are, accordingly, to be regarded as illustrative rather than restrictive. For the purposes of illustration, methods were described in a particular order. It should be appreciated that in alternate aspects, the methods may be performed in a different order than that described.

For clarity of explanation, in some instances the present technology may be presented as including individual functional blocks comprising devices, device components, steps or routines in a method embodied in software, or combinations of hardware and software. Additional components may be used other than those shown in the figures and/or described herein. For example, circuits, systems, networks, processes, and other components may be shown as components in block diagram form in order not to obscure the aspects in unnecessary detail. In other instances, well-known circuits, processes, algorithms, structures, and techniques may be shown without unnecessary detail in order to avoid obscuring the aspects.

Further, those of skill in the art will appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the aspects disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.

Individual aspects may be described above as a process or method which is depicted as a flowchart, a flow diagram, a data flow diagram, a structure diagram, or a block diagram. Although a flowchart may describe the operations as a sequential process, many of the operations can be performed in parallel or concurrently. In addition, the order of the operations may be re-arranged. A process is terminated when its operations are completed, but could have additional steps not included in a figure. A process may correspond to a method, a function, a procedure, a subroutine, a subprogram, etc. When a process corresponds to a function, its termination can correspond to a return of the function to the calling function or the main function.

Processes and methods according to the above-described examples can be implemented using computer-executable instructions that are stored or otherwise available from computer-readable media. Such instructions can include, for example, instructions and data which cause or otherwise configure a general purpose computer, special purpose computer, or a processing device to perform a certain function or group of functions. Portions of computer resources used can be accessible over a network. The computer executable instructions may be, for example, binaries, intermediate format instructions such as assembly language, firmware, source code. Examples of computer-readable media that may be used to store instructions, information used, and/or information created during methods according to described examples include magnetic or optical disks, flash memory, USB devices provided with non-volatile memory, networked storage devices, and so on.

In some aspects the computer-readable storage devices, mediums, and memories can include a cable or wireless signal containing a bitstream and the like. However, when mentioned, non-transitory computer-readable storage media expressly exclude media such as energy, carrier signals, electromagnetic waves, and signals per se.

Those of skill in the art will appreciate that information and signals may be represented using any of a variety of different technologies and techniques. For example, data, instructions, commands, information, signals, bits, symbols, and chips that may be referenced throughout the above description may be represented by voltages, currents, electromagnetic waves, magnetic fields or particles, optical fields or particles, or any combination thereof, in some cases depending in part on the particular application, in part on the desired design, in part on the corresponding technology, etc.

The various illustrative logical blocks, modules, and circuits described in connection with the aspects disclosed herein may be implemented or performed using hardware, software, firmware, middleware, microcode, hardware description languages, or any combination thereof, and can take any of a variety of form factors. When implemented in software, firmware, middleware, or microcode, the program code or code segments to perform the necessary tasks (e.g., a computer-program product) may be stored in a computer-readable or machine-readable medium. A processor (s) may perform the necessary tasks. Examples of form factors include laptops, smart phones, mobile phones, tablet devices or other small form factor personal computers, personal digital assistants, rackmount devices, standalone devices, and so on. Functionality described herein also can be embodied in peripherals or add-in cards. Such functionality can also be implemented on a circuit board among different chips or different processes executing in a single device, by way of further example.

The instructions, media for conveying such instructions, computing resources for executing them, and other structures for supporting such computing resources are example means for providing the functions described in the disclosure.

The techniques described herein may also be implemented in electronic hardware, computer software, firmware, or any combination thereof. Such techniques may be implemented in any of a variety of devices such as general purposes computers, wireless communication device handsets, or integrated circuit devices having multiple uses including application in wireless communication device handsets and other devices. Any features described as modules or components may be implemented together in an integrated logic device or separately as discrete but interoperable logic devices. If implemented in software, the techniques may be realized at least in part by a computer-readable data storage medium comprising program code including instructions that, when executed, performs one or more of the methods, algorithms, and/or operations described above. The computer-readable data storage medium may form part of a computer program product, which may include packaging materials. The computer-readable medium may comprise memory or data storage media, such as random access memory (RAM) such as synchronous dynamic random access memory (SDRAM) , read-only memory (ROM) , non-volatile random access memory (NVRAM) , electrically erasable programmable read-only memory (EEPROM) , FLASH memory, magnetic or optical data storage media, and the like. The techniques additionally, or alternatively, may be realized at least in part by a computer-readable communication medium that carries or communicates program code in the form of instructions or data structures and that can be accessed, read, and/or executed by a computer, such as propagated signals or waves.

The program code may be executed by a processor, which may include one or more processors, such as one or more digital signal processors (DSPs) , general purpose microprocessors, an application specific integrated circuits (ASICs) , field programmable logic arrays (FPGAs) , or other equivalent integrated or discrete logic circuitry. Such a processor may be configured to perform any of the techniques described in this disclosure. A general-purpose processor may be a microprocessor; but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration. Accordingly, the term “processor, ” as used herein may refer to any of the foregoing structure, any combination of the foregoing structure, or any other structure or apparatus suitable for implementation of the techniques described herein.

One of ordinary skill will appreciate that the less than ( “<” ) and greater than ( “>” ) symbols or terminology used herein can be replaced with less than or equal to ( “≤” ) and greater than or equal to ( “≥” ) symbols, respectively, without departing from the scope of this description.

Where components are described as being “configured to” perform certain operations, such configuration can be accomplished, for example, by designing electronic circuits or other hardware to perform the operation, by programming programmable electronic circuits (e.g., microprocessors, or other suitable electronic circuits) to perform the operation, or any combination thereof.

The phrase “coupled to” or “communicatively coupled to” refers to any component that is physically connected to another component either directly or indirectly, and/or any component that is in communication with another component (e.g., connected to the other component over a wired or wireless connection, and/or other suitable communication interface) either directly or indirectly.

Claim language or other language reciting “at least one of” a set and/or “one or more” of a set indicates that one member of the set or multiple members of the set (in any combination) satisfy the claim. For example, claim language reciting “at least one of A and B” or “at least one of A or B” means A, B, or A and B. In another example, claim language reciting “at least one of A, B, and C” or “at least one of A, B, or C” means A, B, C, or A and B, or A and C, or B and C, or A and B and C. The language “at least one of” a set and/or “one or more” of a set does not limit the set to the items listed in the set. For example, claim language reciting “at least one of A and B” or “at least one of A or B” can mean A, B, or A and B, and can additionally include items not listed in the set of A and B.

Claim language or other language reciting “at least one processor configured to, ” “at least one processor being configured to, ” or the like indicates that one processor or multiple processors (in any combination) can perform the associated operation (s) . For example, claim language reciting “at least one processor configured to: X, Y, and Z” means a single processor can be used to perform operations X, Y, and Z; or that multiple processors are each tasked with a certain subset of operations X, Y, and Z such that together the multiple processors perform X, Y, and Z; or that a group of multiple processors work together to perform operations X, Y, and Z. In another example, claim language reciting “at least one processor configured to: X, Y, and Z” can mean that any single processor may only perform at least a subset of operations X, Y, and Z.

Illustrative aspects of the disclosure include:

Aspect 1. A first network device for wireless communications, the first network device comprising: at least one memory; and at least one processor coupled to the at least one memory and configured to: measure a plurality of distances and a plurality of angles for a plurality of targets based on reflected sensing signals from the plurality of targets; and determine a plurality of matching weights for a plurality of distance-angle pairs, each distance-angle pair of the plurality of distance-angle pairs comprising a respective distance of the plurality of distances and a respective angle of the plurality of angles for the plurality of targets, wherein each distance of the plurality of distances is matched with a respective angle of the plurality of angles as belonging to a respective target of the plurality of targets based on the plurality of matching weights.

Aspect 2. The first network device of Aspect 1, wherein the at least one processor is configured to receive, from a second device, a sensing request for sensing the plurality of targets.

Aspect 3. The first network device of any one of Aspects 1 or 2, wherein the at least one processor is configured to receive the reflected sensing signals from the plurality of targets.

Aspect 4. The first network device of any one of Aspects 1 to 3, wherein the at least one processor is configured to output, for transmission to a second network device, a first part of a report comprising a number of at least one of the plurality of distances or the plurality of angles of the plurality of targets.

Aspect 5. The first network device of any one of Aspects 1 to 4, wherein the first network device is user equipment (UE) .

Aspect 6. The first network device of any one of Aspects 1 to 5, wherein the at least one processor is configured to receive, from a second network device, an uplink grant comprising a resource allocation for transmission of a second part of a report.

Aspect 7. The first network device of Aspect 6, wherein the at least one processor is configured to output, for transmission to the second network device in resources of the resource allocation, the second part of the report comprising the plurality of distances, the plurality of angles, and the plurality of matching weights.

Aspect 8. The first network device of any one of Aspects 6 or 7, wherein the second network device is a base station.

Aspect 9. The first network device of any one of Aspects 1 to 8, wherein the at least one processor is configured to output at least one of a first part of a report or a second part of the report for transmission to a second network device in one of Layer 1 via uplink control information (UCI) , Layer 1 via uplink (UL) data, Layer 2 via medium access control-control element (MAC-CE) , or Layer 3 via radio resource control (RRC) signaling.

Aspect 10. The first network device of any one of Aspects 1 to 9, wherein the at least one processor is configured to output, for transmission to a network server, at least one of a first part of a report or a second part of the report via a dedicated upper layer sensing protocol.

Aspect 11. The first network device of any one of Aspects 1 to 10, wherein the plurality of matching weights are included in a matrix.

Aspect 12. The first network device of any one of Aspects 1 to 11, wherein the plurality of matching weights are represented by at least one of variables, normalized variables, quantized variables, or states.

Aspect 13. A method for wireless communications at a first network device, the method comprising: measuring, by the first network device, a plurality of distances and a plurality of angles for a plurality of targets based on reflected sensing signals from the plurality of targets; and determining, by the first network device, a plurality of matching weights for a plurality of distance-angle pairs, each distance-angle pair of the plurality of distance-angle pairs comprising a respective distance of the plurality of distances and a respective angle of the plurality of angles for the plurality of targets, wherein each distance of the plurality of distances is matched with a respective angle of the plurality of angles as belonging to a respective target of the plurality of targets based on the plurality of matching weights.

Aspect 14. The method of Aspect 13, further comprising receiving, by the first network device from a second device, a sensing request for sensing the plurality of targets.

Aspect 15. The method of any one of Aspects 13 or 14, further comprising receiving, by the first network device, the reflected sensing signals from the plurality of targets.

Aspect 16. The method of any one of Aspects 13 to 15, further comprising transmitting, by the first network device to a second network device, a first part of a report comprising a number of at least one of the plurality of distances or the plurality of angles of the plurality of targets.

Aspect 17. The method of any one of Aspects 13 to 16, wherein the first network device is user equipment (UE) .

Aspect 18. The method of any one of Aspects 13 to 17, further comprising receiving, by the first network device from a second network device, an uplink grant comprising a resource allocation for transmission of a second part of a report.

Aspect 19. The method of Aspect 18, further comprising transmitting, by the first network device to the second network device in resources of the resource allocation, the second part of the report comprising the plurality of distances, the plurality of angles, and the plurality of matching weights.

Aspect 20. The method of any one of Aspects 18 or 19, wherein the second network device is a base station.

Aspect 21. The method of any one of Aspects 13 to 20, further comprising transmitting at least one of a first part of a report or a second part of the report to a second network device in one of Layer 1 via uplink control information (UCI) , Layer 1 via uplink (UL) data, Layer 2 via medium access control-control element (MAC-CE) , or Layer 3 via radio resource control (RRC) signaling.

Aspect 22. The method of any one of Aspects 13 to 21, further comprising transmitting, by the first network device to a network server, at least one of a first part of a report or a second part of the report via a dedicated upper layer sensing protocol.

Aspect 23. The method of any one of Aspects 13 to 22, wherein the plurality of matching weights are included in a matrix.

Aspect 24. The method of any one of Aspects 13 to 23, wherein the plurality of matching weights are represented by at least one of variables, normalized variables, quantized variables, or states.

Aspect 25. A first network device for wireless communications, the first network device comprising: at least one memory; and at least one processor coupled to the at least one memory and configured to: receive, from a plurality of second network devices, reports comprising measurements for a plurality of targets and a plurality of matching weights for the measurements; and determine a plurality of locations of the plurality of targets based on the plurality of matching weights and the measurements.

Aspect 26. The first network device of Aspect 25, wherein the at least one processor is configured to output, for transmission to the plurality of second network devices, sensing requests for sensing the plurality of targets.

Aspect 27. The first network device of any one of Aspects 25 or 26, wherein the first network device is a base station.

Aspect 28. The first network device of any one of Aspects 25 to 27, wherein each second network device of the plurality of second network devices is user equipment (UE) .

Aspect 29. A method for wireless communications at a first network device, the method comprising: receiving, by the first network device from a plurality of second network devices, reports comprising measurements for a plurality of targets and a plurality of matching weights for the measurements; and determining, by the first network device, a plurality of locations of the plurality of targets based on the plurality of matching weights and the measurements.

Aspect 30. The method of Aspect 29, further comprising transmitting, by the first network device to the plurality of second network devices, sensing requests for sensing the plurality of targets.

Aspect 31. The method of any one of Aspects 29 or 30, wherein the first network device is a base station.

Aspect 32. The method of any one of Aspects 29 to 31, wherein each second network device of the plurality of second network devices is user equipment (UE) .

Aspect 33. A non-transitory computer-readable storage medium comprising instructions stored thereon which, when executed by at least one processor, causes the at least one processor to perform operations according to any one of Aspects 13 to 24.

Aspect 34. An apparatus for wireless communications, comprising one or more means for performing operations according to any one of Aspects 13 to 24.

Aspect 35. A non-transitory computer-readable storage medium comprising instructions stored thereon which, when executed by at least one processor, causes the at least one processor to perform operations according to any one of Aspects 29 to 32.

Aspect 36. An apparatus for wireless communications, comprising one or more means for performing operations according to any one of Aspects 29 to 32.

The previous description is provided to enable any person skilled in the art to practice the various aspects described herein. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects. Thus, the claims are not intended to be limited to the aspects shown herein, but is to be accorded the full scope consistent with the language claims, wherein reference to an element in the singular is not intended to mean “one and only one” unless specifically so stated, but rather “one or more. ”

Claims

A first network device for wireless communications, the first network device comprising:

at least one memory; and

at least one processor coupled to the at least one memory and configured to:

measure a plurality of distances and a plurality of angles for a plurality of targets based on reflected sensing signals from the plurality of targets; and

determine a plurality of matching weights for a plurality of distance-angle pairs, each distance-angle pair of the plurality of distance-angle pairs comprising a respective distance of the plurality of distances and a respective angle of the plurality of angles for the plurality of targets, wherein each distance of the plurality of distances is matched with a respective angle of the plurality of angles as belonging to a respective target of the plurality of targets based on the plurality of matching weights.
The first network device of claim 1, wherein the at least one processor is configured to receive, from a second device, a sensing request for sensing the plurality of targets.
The first network device of claim 1, wherein the at least one processor is configured to receive the reflected sensing signals from the plurality of targets.
The first network device of claim 1, wherein the at least one processor is configured to output, for transmission to a second network device, a first part of a report comprising a number of at least one of the plurality of distances or the plurality of angles of the plurality of targets.
The first network device of claim 1, wherein the first network device is user equipment (UE) .
The first network device of claim 1, wherein the at least one processor is configured to receive, from a second network device, an uplink grant comprising a resource allocation for transmission of a second part of a report.
The first network device of claim 6, wherein the at least one processor is configured to output, for transmission to the second network device in resources of the resource allocation, the second part of the report comprising the plurality of distances, the plurality of angles, and the plurality of matching weights.
The first network device of claim 6, wherein the second network device is a base station.
The first network device of claim 1, wherein the at least one processor is configured to output at least one of a first part of a report or a second part of the report for transmission to a second network device in one of Layer 1 via uplink control information (UCI) , Layer 1 via uplink (UL) data, Layer 2 via medium access control-control element (MAC-CE) , or Layer 3 via radio resource control (RRC) signaling.
The first network device of claim 1, wherein the at least one processor is configured to output, for transmission to a network server, at least one of a first part of a report or a second part of the report via a dedicated upper layer sensing protocol.
The first network device of claim 1, wherein the plurality of matching weights are included in a matrix.
The first network device of claim 1, wherein the plurality of matching weights are represented by at least one of variables, normalized variables, quantized variables, or states.
A method for wireless communications at a first network device, the method comprising:

measuring, by the first network device, a plurality of distances and a plurality of angles for a plurality of targets based on reflected sensing signals from the plurality of targets; and

determining, by the first network device, a plurality of matching weights for a plurality of distance-angle pairs, each distance-angle pair of the plurality of distance-angle pairs comprising a respective distance of the plurality of distances and a respective angle of the plurality of angles for the plurality of targets, wherein each distance of the plurality of distances is matched with a respective angle of the plurality of angles as belonging to a respective target of the plurality of targets based on the plurality of matching weights.
The method of claim 13, further comprising receiving, by the first network device from a second device, a sensing request for sensing the plurality of targets.
The method of claim 13, further comprising receiving, by the first network device, the reflected sensing signals from the plurality of targets.
The method of claim 13, further comprising transmitting, by the first network device to a second network device, a first part of a report comprising a number of at least one of the plurality of distances or the plurality of angles of the plurality of targets.
The method of claim 13, wherein the first network device is user equipment (UE) .
The method of claim 13, further comprising receiving, by the first network device from a second network device, an uplink grant comprising a resource allocation for transmission of a second part of a report.
The method of claim 18, further comprising transmitting, by the first network device to the second network device in resources of the resource allocation, the second part of the report comprising the plurality of distances, the plurality of angles, and the plurality of matching weights.
The method of claim 18, wherein the second network device is a base station.
The method of claim 13, further comprising transmitting at least one of a first part of a report or a second part of the report to a second network device in one of Layer 1 via uplink control information (UCI) , Layer 1 via uplink (UL) data, Layer 2 via medium access control-control element (MAC-CE) , or Layer 3 via radio resource control (RRC) signaling.
The method of claim 13, further comprising transmitting, by the first network device to a network server, at least one of a first part of a report or a second part of the report via a dedicated upper layer sensing protocol.
The method of claim 13, wherein the plurality of matching weights are included in a matrix.
The method of claim 13, wherein the plurality of matching weights are represented by at least one of variables, normalized variables, quantized variables, or states.
A first network device for wireless communications, the first network device comprising:

at least one memory; and

at least one processor coupled to the at least one memory and configured to:

receive, from a plurality of second network devices, reports comprising measurements for a plurality of targets and a plurality of matching weights for the measurements; and

determine a plurality of locations of the plurality of targets based on the plurality of matching weights and the measurements.
The first network device of claim 25, wherein the at least one processor is configured to output, for transmission to the plurality of second network devices, sensing requests for sensing the plurality of targets.
The first network device of claim 25, wherein the first network device is a base station.
The first network device of claim 25, wherein each second network device of the plurality of second network devices is user equipment (UE) .
A method for wireless communications at a first network device, the method comprising:

receiving, by the first network device from a plurality of second network devices, reports comprising measurements for a plurality of targets and a plurality of matching weights for the measurements; and

determining, by the first network device, a plurality of locations of the plurality of targets based on the plurality of matching weights and the measurements.
The method of claim 29, further comprising transmitting, by the first network device to the plurality of second network devices, sensing requests for sensing the plurality of targets.
The method of claim 29, wherein the first network device is a base station, and wherein each second network device of the plurality of second network devices is user equipment (UE) .