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WO2018118677A2 - Matrice de covariance de canal basée sur des mesures de canal pour des systèmes de communication - Google Patents

Matrice de covariance de canal basée sur des mesures de canal pour des systèmes de communication Download PDF

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Publication number
WO2018118677A2
WO2018118677A2 PCT/US2017/066626 US2017066626W WO2018118677A2 WO 2018118677 A2 WO2018118677 A2 WO 2018118677A2 US 2017066626 W US2017066626 W US 2017066626W WO 2018118677 A2 WO2018118677 A2 WO 2018118677A2
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WO
WIPO (PCT)
Prior art keywords
report
channel
matrices
covariance matrix
matrix
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/US2017/066626
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English (en)
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WO2018118677A3 (fr
Inventor
Victor SERGEEV
Wook Bong Lee
Alexei Davydov
Gregory Morozov
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Intel Corp
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Intel Corp
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Publication of WO2018118677A2 publication Critical patent/WO2018118677A2/fr
Publication of WO2018118677A3 publication Critical patent/WO2018118677A3/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413MIMO systems
    • H04B7/0456Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
    • H04B7/0482Adaptive codebooks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413MIMO systems
    • H04B7/0456Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
    • H04B7/0478Special codebook structures directed to feedback optimisation
    • H04B7/0479Special codebook structures directed to feedback optimisation for multi-dimensional arrays, e.g. horizontal or vertical pre-distortion matrix index [PMI]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0621Feedback content
    • H04B7/0626Channel coefficients, e.g. channel state information [CSI]

Definitions

  • Various embodiments generally relate to the field of wireless communications.
  • Wireless or mobile communication involves wireless communication between two or more devices.
  • the communication requires resources to transmit data from one device to another and/or to receive data at one device from another.
  • the devices can incorporate multiple antennas and/or antenna ports.
  • One technique to facilitate use of multiple antennas or antenna ports is to generate and utilize a codebook.
  • the codebook is used for transmission to code data, which includes assigning data to particular antennas or antenna ports.
  • generating and/or updating the codebook can be problematic and complex.
  • FIG. 1 illustrates a block diagram of an example wireless communications network environment for a network device (e.g., a UE, gNB or an eNB) according to various aspects or embodiments.
  • a network device e.g., a UE, gNB or an eNB
  • FIG. 2 illustrates another block diagram of an example of wireless
  • a network device e.g., a UE, gNB or an eNB
  • a network device e.g., a UE, gNB or an eNB
  • FIG. 3 another block diagram of an example of wireless communications network environment for network device (e.g., a UE, gNB or an eNB) with various interfaces according to various aspects or embodiments.
  • network device e.g., a UE, gNB or an eNB
  • FIG. 4 is a diagram illustrating an architecture of a system for generating channel covariance matrix reports/feedback in mobile communications in accordance with some embodiments.
  • FIG. 5 is a diagram illustrating an architecture of a system for generating channel covariance matrix reports/feedback in mobile communications in accordance with some embodiments.
  • FIG. 6 is a diagram illustrating a suitable two dimensional array structure having two polarizations.
  • FIG. 7 is a diagram illustrating various configurations of beam subsets.
  • FIG. 8 is a flow diagram illustrating a method for generating a matrix report and updating a codebook in accordance with some embodiments.
  • FIG. 9 is a flow diagram illustrating a method for generating matrix reports and updating a codebook in accordance with some embodiments.
  • ком ⁇ онент can be a processor, a process running on a processor, a controller, an object, an executable, a program, a storage device, and/or a computer with a processing device.
  • an application running on a server and the server can also be a component.
  • One or more components can reside within a process, and a component can be localized on one computer and/or distributed between two or more computers.
  • a set of elements or a set of other components can be described herein, in which the term "set” can be interpreted as “one or more.”
  • these components can execute from various computer readable storage media having various data structures stored thereon such as with a module, for example.
  • the components can communicate via local and/or remote processes such as in accordance with a signal having one or more data packets (e.g., data from one component interacting with another component in a local system, distributed system, and/or across a network, such as, the Internet, a local area network, a wide area network, or similar network with other systems via the signal).
  • a component can be an apparatus with specific
  • a component can be an apparatus that provides specific functionality through electronic components without mechanical parts; the electronic components can include one or more processors therein to execute software and/or firmware that confer(s), at least in part, the functionality of the electronic components.
  • circuitry may refer to, be part of, or include an Application Specific Integrated Circuit (ASIC), an electronic circuit, a processor (shared, dedicated, or group), and/or memory (shared, dedicated, or group) that execute one or more software or firmware programs, a combinational logic circuit, and/or other suitable hardware components that provide the described functionality.
  • ASIC Application Specific Integrated Circuit
  • the circuitry may be implemented in, or functions associated with the circuitry may be implemented by, one or more software or firmware modules.
  • circuitry may include logic, at least partially operable in hardware.
  • MIMO multiple input multiple output
  • One technique to facilitate use of multiple antennas or antenna ports or MIMO is to generate and utilize a codebook.
  • the codebook is used for transmission to code data, which includes assigning data to particular antennas or antenna ports.
  • the multiple antennas can be arranged in the form of an antenna array.
  • the antenna array can be one dimensional, where the antenna elements are placed in a single direction or one dimensional, where the antenna elements are placed in two directions or two dimensional.
  • the dimensions typically include a vertical direction and a horizontal direction.
  • Elevation beamforming and full dimension (FD) MIMO is two dimensional and uses the vertical and horizontal directions for downlink data transmission.
  • the elevation beamforming is based on two types of CSI feedback Class A and Class B.
  • the class A is for non-precoded channel state information reference signals (CSI-RS).
  • the class B is beamformed CSI-RS.
  • each CSI-RS antenna port for a CSI-RS is transmitted by an eNB without beamforming.
  • the beamforming on CSI-RS antenna ports is used. The beamforming on CSI-RS antenna ports provides an additional coverage of class B over the class A.
  • a class A codebook for an antenna array (e.g., a uniform antenna array having a first and second polarization) has pre-coders or a codebook based on W1 W2, where W1 is a code word from two discrete Fourier transform (DFT) vectors and follows a Kronecker Product (KP) structure.
  • W1 is a code word from two discrete Fourier transform (DFT) vectors and follows a Kronecker Product (KP) structure.
  • DFT discrete Fourier transform
  • KP Kronecker Product
  • W2 can be obtained in a similar manner.
  • a codebook can be designed to facilitate precoding, beam formation, transmission and the like.
  • the codebook is used at a transmitter, such as a UE, base station, gNB, node, and the like, to estimate the channel and generate a downlink or uplink transmission.
  • the transmitting device can be responsible for maintaining and updating the codebook.
  • a first technique generates reports for first and second dimensions. The reports are averaged across polarization.
  • a second technique generates separate covariance matrix reports for each polarization.
  • Other suitable techniques and variations thereof are
  • FIG. 1 illustrates an architecture of a system 100 of a network in accordance with some embodiments.
  • the system 100 is shown to include a user equipment (UE) 101 and a UE 102.
  • the UEs 101 and 1 02 are illustrated as smartphones (e.g., handheld touchscreen mobile computing devices connectable to one or more cellular networks), but can also comprise any mobile or non-mobile computing device, such as Personal Data Assistants (PDAs), pagers, laptop computers, desktop computers, wireless handsets, or any computing device including a wireless communications interface.
  • PDAs Personal Data Assistants
  • pagers pagers
  • laptop computers desktop computers
  • wireless handsets or any computing device including a wireless communications interface.
  • any of the UEs 101 and 102 can comprise an Internet of Things (loT) UE, which can comprise a network access layer designed for low-power loT applications utilizing short-lived UE connections.
  • An loT UE can utilize technologies such as machine-to-machine (M2M) or machine-type communications (MTC) for exchanging data with an MTC server or device via a public land mobile network (PLMN), Proximity-Based Service (ProSe) or device-to-device (D2D) communication, sensor networks, or loT networks.
  • M2M or MTC exchange of data can be a machine-initiated exchange of data.
  • loT network describes interconnecting loT UEs, which can include uniquely identifiable embedded computing devices (within the Internet infrastructure), with short-lived connections.
  • the loT UEs can execute background applications (e.g., keep-alive messages, status updates, etc.) to facilitate the connections of the loT network.
  • the UEs 101 and 102 can be configured to connect, e.g., communicatively couple, with a radio access network (RAN) 1 10—
  • the RAN 1 10 can be, for example, an Evolved Universal Mobile Telecommunications System (UMTS) Terrestrial Radio Access Network (E-UTRAN), a NextGen RAN (NG RAN), or some other type of RAN.
  • UMTS Evolved Universal Mobile Telecommunications System
  • E-UTRAN Evolved Universal Mobile Telecommunications System
  • NG RAN NextGen RAN
  • the UEs 101 and 102 utilize connections 103 and 104, respectively, each of which comprises a physical communications interface or layer (discussed in further detail below); in this example, the connections 103 and 104 are illustrated as an air interface to enable communicative coupling, and can be consistent with cellular communications protocols, such as a Global System for Mobile Communications (GSM) protocol, a code-division multiple access (CDMA) network protocol, a Push-to-Talk (PTT) protocol, a PTT over Cellular (POC) protocol, a Universal Mobile Telecommunications System (UMTS) protocol, a 3GPP Long Term Evolution (LTE) protocol, a fifth generation (5G) protocol, a New Radio (NR) protocol, and the like.
  • GSM Global System for Mobile Communications
  • CDMA code-division multiple access
  • PTT Push-to-Talk
  • POC PTT over Cellular
  • UMTS Universal Mobile Telecommunications System
  • LTE Long Term Evolution
  • 5G fifth generation
  • NR New Radio
  • the UEs 101 and 1 02 can further directly exchange communication data via a ProSe interface 105.
  • the ProSe interface 105 can be any suitable ProSe interface 105.
  • a sidelink interface comprising one or more logical channels, including but not limited to a Physical Sidelink Control Channel (PSCCH), a Physical Sidelink Shared Channel (PSSCH), a Physical Sidelink Discovery Channel (PSDCH), and a Physical Sidelink Broadcast Channel (PSBCH).
  • PSCCH Physical Sidelink Control Channel
  • PSSCH Physical Sidelink Shared Channel
  • PSDCH Physical Sidelink Discovery Channel
  • PSBCH Physical Sidelink Broadcast Channel
  • the UE 102 is shown to be configured to access an access point (AP) 106 via connection 107.
  • the connection 107 can comprise a local wireless connection, such as a connection consistent with any IEEE 802.1 1 protocol, wherein the AP 106 would comprise a wireless fidelity (WiFi®) router.
  • WiFi® wireless fidelity
  • the AP 1 06 is shown to be connected to the Internet without connecting to the core network of the wireless system (described in further detail below).
  • the RAN 1 1 0 can include one or more access nodes that enable the connections 1 03 and 104.
  • These access nodes (ANs) can be referred to as base stations (BSs), NodeBs, evolved NodeBs (eNBs), next Generation NodeBs (gNB), RAN nodes, and so forth, and can comprise ground stations (e.g., terrestrial access points) or satellite stations providing coverage within a geographic area (e.g., a cell).
  • BSs base stations
  • eNBs evolved NodeBs
  • gNB next Generation NodeBs
  • RAN nodes and so forth, and can comprise ground stations (e.g., terrestrial access points) or satellite stations providing coverage within a geographic area (e.g., a cell).
  • a network device as referred to herein can include any one of these APs, ANs, UEs or any other network component.
  • the RAN 1 10 can include one or more RAN nodes for providing macrocells, e.g., macro RAN node 1 1 1 , and one or more RAN nodes for providing femtocells or picocells (e.g., cells having smaller coverage areas, smaller user capacity, or higher bandwidth compared to macrocells), e.g., low power (LP) RAN node 1 12.
  • RAN nodes for providing macrocells e.g., macro RAN node 1 1 1
  • femtocells or picocells e.g., cells having smaller coverage areas, smaller user capacity, or higher bandwidth compared to macrocells
  • LP low power
  • any of the RAN nodes 1 1 1 and 1 12 can terminate the air interface protocol and can be the first point of contact for the UEs 101 and 102.
  • any of the RAN nodes 1 1 1 and 1 12 can fulfill various logical functions for the RAN 1 1 0 including, but not limited to, radio network controller (RNC) functions such as radio bearer management, uplink (UL) and downlink (DL) dynamic radio resource
  • RNC radio network controller
  • the UEs 101 and 102 can be configured to communicate using Orthogonal Frequency-Division Multiplexing (OFDM) communication signals with each other or with any of the RAN nodes 1 1 1 and 1 1 2 over a multicarrier communication channel in accordance various communication techniques, such as, but not limited to, an Orthogonal Frequency-Division Multiple Access (OFDMA) communication technique (e.g., for downlink communications) or a Single Carrier Frequency Division Multiple Access (SC-FDMA) communication technique (e.g., for uplink and ProSe or sidelink communications), although the scope of the embodiments is not limited in this respect.
  • OFDM signals can comprise a plurality of orthogonal subcarriers.
  • a downlink resource grid can be used for downlink transmissions from any of the RAN nodes 1 1 1 and 1 12 to the UEs 101 and 1 02, while uplink transmissions can utilize similar techniques.
  • the grid can be a time-frequency grid, called a resource grid or time-frequency resource grid, which is the physical resource in the downlink in each slot.
  • a time-frequency plane representation is a common practice for OFDM systems, which makes it intuitive for radio resource allocation.
  • Each column and each row of the resource grid corresponds to one OFDM symbol and one OFDM subcarrier, respectively.
  • the duration of the resource grid in the time domain corresponds to one slot in a radio frame.
  • the smallest time-frequency unit in a resource grid is denoted as a resource element.
  • Each resource grid comprises a number of resource blocks, which describe the mapping of certain physical channels to resource elements.
  • Each resource block comprises a collection of resource elements; in the frequency domain, this can represent the smallest quantity of resources that currently can be allocated.
  • the physical downlink shared channel can carry user data and higher-layer signaling to the UEs 101 and 102.
  • the physical downlink control channel (PDCCH) can carry information about the transport format and resource allocations related to the PDSCH channel, among other things. It can also inform the UEs 101 and 102 about the transport format, resource allocation, and H-ARQ (Hybrid Automatic Repeat Request) information related to the uplink shared channel.
  • downlink scheduling assigning control and shared channel resource blocks to the UE 102 within a cell
  • the downlink resource assignment information can be sent on the PDCCH used for (e.g., assigned to) each of the UEs 101 and 1 02.
  • the PDCCH can use control channel elements (CCEs) to convey the control information.
  • CCEs control channel elements
  • the PDCCH complex-valued symbols can first be organized into quadruplets, which can then be permuted using a sub-block interleaver for rate matching.
  • Each PDCCH can be transmitted using one or more of these CCEs, where each CCE can correspond to nine sets of four physical resource elements known as resource element groups (REGs).
  • RAGs resource element groups
  • QPSK Quadrature Phase Shift Keying
  • the PDCCH can be transmitted using one or more CCEs, depending on the size of the downlink control information (DCI) and the channel condition.
  • DCI downlink control information
  • There can be four or more different PDCCH formats defined in LTE with different numbers of CCEs (e.g., aggregation level, L 1 , 2, 4, or 8).
  • Some embodiments can use concepts for resource allocation for control channel information that are an extension of the above-described concepts.
  • some embodiments can utilize an enhanced physical downlink control channel (EPDCCH) that uses PDSCH resources for control information transmission.
  • the EPDCCH can be transmitted using one or more enhanced the control channel elements (ECCEs). Similar to above, each ECCE can correspond to nine sets of four physical resource elements known as an enhanced resource element groups (EREGs). An ECCE can have other numbers of EREGs in some situations.
  • EPCCH enhanced physical downlink control channel
  • ECCEs enhanced the control channel elements
  • each ECCE can correspond to nine sets of four physical resource elements known as an enhanced resource element groups (EREGs).
  • EREGs enhanced resource element groups
  • An ECCE can have other numbers of EREGs in some situations.
  • the RAN 1 1 0 is shown to be communicatively coupled to a core network (CN) 1 20— via an S1 interface 1 1 3.
  • the CN 120 can be an evolved packet core (EPC) network, a NextGen Packet Core (NPC) network, or some other type of CN.
  • EPC evolved packet core
  • NPC NextGen Packet Core
  • the S1 interface 1 13 is split into two parts: the S1 -U interface 1 14, which carries traffic data between the RAN nodes 1 1 1 and 1 12 and the serving gateway (S-GW) 122, and the S1 -mobility management entity (MME) interface 1 15, which is a signaling interface between the RAN nodes 1 1 1 and 1 12 and MMEs 121 .
  • MME mobility management entity
  • the CN 1 20 comprises the MMEs 121 , the S-GW 122, the Packet Data Network (PDN) Gateway (P-GW) 123, and a home subscriber server (HSS) 124.
  • the MMEs 121 can be similar in function to the control plane of legacy Serving General Packet Radio Service (GPRS) Support Nodes (SGSN).
  • GPRS General Packet Radio Service
  • the MMEs 121 can manage mobility aspects in access such as gateway selection and tracking area list management.
  • the HSS 124 can comprise a database for network users, including subscription-related information to support the network entities' handling of
  • the CN 120 can comprise one or several HSSs 124, depending on the number of mobile subscribers, on the capacity of the equipment, on the organization of the network, etc.
  • the HSS 124 can provide support for routing/roaming, authentication, authorization, naming/addressing resolution, location dependencies, etc.
  • the S-GW 122 can terminate the S1 interface 1 13 towards the RAN 1 1 0, and routes data packets between the RAN 1 10 and the CN 1 20.
  • the S-GW 122 can be a local mobility anchor point for inter-RAN node handovers and also can provide an anchor for inter-3GPP mobility. Other responsibilities can include lawful intercept, charging, and some policy enforcement.
  • the P-GW 123 can terminate an SGi interface toward a PDN.
  • the P-GW 123 can route data packets between the CN network 120 and external networks such as a network including the application server 130 (alternatively referred to as application function (AF)) via an Internet Protocol (IP) interface 125.
  • the application server 130 can be an element offering applications that use IP bearer resources with the core network (e.g., UMTS Packet Services (PS) domain, LTE PS data services, etc.).
  • PS UMTS Packet Services
  • LTE PS data services etc.
  • the P-GW 123 is shown to be communicatively coupled to an application server 130 via an IP communications interface 125.
  • the application server 130 can also be configured to support one or more communication services (e.g., Voice-over-Internet Protocol (VoIP) sessions, PTT sessions, group communication sessions, social networking services, etc.) for the UEs 101 and 102 via the CN 120.
  • VoIP Voice-over-Internet Protocol
  • PTT sessions PTT sessions
  • group communication sessions social networking services, etc.
  • the P-GW 123 can further be a node for policy enforcement and charging data collection.
  • Policy and Charging Enforcement Function (PCRF) 126 is the policy and charging control element of the CN 120.
  • PCRF Policy and Charging Enforcement Function
  • HPLMN Home Public Land Mobile Network
  • IP-CAN Internet Protocol Connectivity Access Network
  • HPLMN Home Public Land Mobile Network
  • V-PCRF Visited PCRF
  • VPLMN Visited Public Land Mobile Network
  • the PCRF 126 can be communicatively coupled to the application server 130 via the P-GW 123.
  • the application server 130 can signal the PCRF 1 26 to indicate a new service flow and select the appropriate Quality of Service (QoS) and charging parameters.
  • the PCRF 126 can provision this rule into a Policy and Charging Enforcement Function (PCEF) (not shown) with the appropriate traffic flow template (TFT) and QoS class of identifier (QCI), which commences the QoS and charging as specified by the application server 130.
  • PCEF Policy and Charging Enforcement Function
  • TFT traffic flow template
  • QCI QoS class of identifier
  • IMS services can be identified more accurately in a paging indication, which can enable the UEs 101 , 102 to differentiate between PS paging and IMS service related paging.
  • the UEs 101 , 102 can apply preferential prioritization for IMS services as desired based on any number of requests by any application, background searching (e.g., PLMN searching or the like), process, or communication.
  • the UEs 1 01 , 102 can differentiate the PS domain paging to more distinguishable categories, so that IMS services can be identified clearly in the UEs 101 , 102 in comparison to PS services.
  • a network e.g., CN 120, RAN 1 10, AP 106, or combination thereof as an eNB or the other network device
  • a network can provide further, more specific information with the TS 36.331 -Paging message, such as a "paging cause" parameter.
  • the UE can use this information to decide whether to respond to the paging, possibly interrupting some other procedure like an ongoing PLMN search.
  • UEs 101 , 102 can be registered to a visited PLMN (VPLMN) and performing PLMN search (i.e., background scan for a home PLMN (HPLMN) or a higher priority PLMN), or when a registered UE is performing a manual PLMN search, the PLMN search can be interrupted in order to move to a connected mode and respond to a paging operation as part of a MT procedure / operation.
  • PLMN search i.e., background scan for a home PLMN (HPLMN) or a higher priority PLMN
  • the PLMN search can be interrupted in order to move to a connected mode and respond to a paging operation as part of a MT procedure / operation.
  • this paging could be for PS data (non-IMS data), where, for example, an application server 130 in the NW wants to push to the UE 101 or 102 for one of the many different applications running in / on the UE 101 or 1 02, for example.
  • PS data non-IMS data
  • the PS data could be delay tolerant and less important, in legacy networks the paging is often not able to be ignored completely, as critical services like an IMS call can be the reason for the PS paging.
  • the multiple interruptions of the PLMN search caused by the paging can result in an unpredictable delay of the PLMN search or in the worst case even in a failure of the procedure, resulting in a loss of efficiency in network
  • a delay in moving to or handover to a preferred PLMN (via manual PLMN search or HPLMN search) in a roaming condition can incur more roaming charges on a user as well.
  • FIG. 2 illustrates example components of a network device 200 in accordance with some embodiments.
  • the device 200 can include application circuitry 202, baseband circuitry 204, Radio Frequency (RF) circuitry 206, front-end module (FEM) circuitry 208, one or more antennas 21 0, and power management circuitry (PMC) 21 2 coupled together at least as shown.
  • the components of the illustrated device 200 can be included in a UE 101 , 102 or a RAN node 1 1 1 , 1 12, AP, AN, eNB or other network component.
  • the device 200 can include less elements (e.g., a RAN node can not utilize application circuitry 202, and instead include a processor/controller to process IP data received from an EPC).
  • the network device 200 can include additional elements such as, for example, memory/storage, display, camera, sensor, or input/output (I/O) interface.
  • the components described below can be included in more than one device (e.g., said circuitries can be separately included in more than one device for Cloud-RAN (C-RAN) implementations).
  • the application circuitry 202 can include one or more application processors.
  • the application circuitry 202 can include circuitry such as, but not limited to, one or more single-core or multi-core processors.
  • the processor(s) can include any combination of general-purpose processors and dedicated processors (e.g., graphics processors, application processors, etc.).
  • the processors can be coupled with or can include memory/storage and can be configured to execute instructions stored in the memory/storage to enable various applications or operating systems to run on the device 200.
  • processors of application circuitry 202 can process IP data packets received from an EPC.
  • the baseband circuitry 204 can include circuitry such as, but not limited to, one or more single-core or multi-core processors.
  • the baseband circuitry 204 can include one or more baseband processors or control logic to process baseband signals received from a receive signal path of the RF circuitry 206 and to generate baseband signals for a transmit signal path of the RF circuitry 206.
  • Baseband processing circuity 204 can interface with the application circuitry 202 for generation and processing of the baseband signals and for controlling operations of the RF circuitry 206.
  • the baseband circuitry 204 can include a third generation (3G) baseband processor 204A, a fourth generation (4G) baseband processor 204B, a fifth generation (5G) baseband processor 204C, or other baseband processor(s) 204D for other existing generations, generations in development or to be developed in the future (e.g., second generation (2G), si2h generation (6G), etc.).
  • the baseband circuitry 204 e.g., one or more of baseband processors 204A-D
  • baseband processors 204A-D can be included in modules stored in the memory 204G and executed via a Central Processing Unit (CPU) 204E.
  • the radio control functions can include, but are not limited to, signal modulation/demodulation, encoding/decoding, radio frequency shifting, etc.
  • modulation/demodulation circuitry of the baseband circuitry 204 can include Fast-Fourier Transform (FFT), precoding, or constellation mapping/demapping functionality.
  • FFT Fast-Fourier Transform
  • encoding/decoding circuitry of the baseband circuitry 204 can include convolution, tail- biting convolution, turbo, Viterbi, or Low Density Parity Check (LDPC) encoder/decoder functionality.
  • LDPC Low Density Parity Check
  • Embodiments of modulation/demodulation and encoder/decoder functionality are not limited to these examples and can include other suitable functionality in other embodiments.
  • the baseband circuitry 204 can include one or more audio digital signal processor(s) (DSP) 204F.
  • the audio DSP(s) 204F can be include elements for compression/decompression and echo cancellation and can include other suitable processing elements in other embodiments.
  • Components of the baseband circuitry can be suitably combined in a single chip, a single chipset, or disposed on a same circuit board in some embodiments.
  • some or all of the constituent components of the baseband circuitry 204 and the application circuitry 202 can be implemented together such as, for example, on a system on a chip (SOC).
  • SOC system on a chip
  • the baseband circuitry 204 can provide for communication compatible with one or more radio technologies.
  • the baseband circuitry 204 can support communication with an evolved universal terrestrial radio access network (EUTRAN) or other wireless metropolitan area networks (WMAN), a wireless local area network (WLAN), a wireless personal area network (WPAN).
  • EUTRAN evolved universal terrestrial radio access network
  • WMAN wireless metropolitan area networks
  • WLAN wireless local area network
  • WPAN wireless personal area network
  • Embodiments in which the baseband circuitry 204 is configured to support radio communications of more than one wireless protocol can be referred to as multi-mode baseband circuitry.
  • RF circuitry 206 can enable communication with wireless networks using modulated electromagnetic radiation through a non-solid medium.
  • the RF circuitry 206 can include switches, filters, amplifiers, etc. to facilitate the communication with the wireless network.
  • RF circuitry 206 can include a receive signal path which can include circuitry to down-convert RF signals received from the FEM circuitry 208 and provide baseband signals to the baseband circuitry 204.
  • RF circuitry 206 can also include a transmit signal path which can include circuitry to up- convert baseband signals provided by the baseband circuitry 204 and provide RF output signals to the FEM circuitry 208 for transmission.
  • the receive signal path of the RF circuitry 206 can include mixer circuitry 206a, amplifier circuitry 206b and filter circuitry 206c.
  • the transmit signal path of the RF circuitry 206 can include filter circuitry 206c and mixer circuitry 206a.
  • RF circuitry 206 can also include synthesizer circuitry 206d for synthesizing a frequency for use by the mixer circuitry 206a of the receive signal path and the transmit signal path.
  • the mixer circuitry 206a of the receive signal path can be configured to down-convert RF signals received from the FEM circuitry 208 based on the synthesized frequency provided by synthesizer circuitry 206d.
  • the amplifier circuitry 206b can be configured to amplify the down- converted signals and the filter circuitry 206c can be a low-pass filter (LPF) or bandpass filter (BPF) configured to remove unwanted signals from the down-converted signals to generate output baseband signals.
  • Output baseband signals can be provided to the baseband circuitry 204 for further processing.
  • the output baseband signals can be zero-frequency baseband signals, although this is not a requirement.
  • mixer circuitry 206a of the receive signal path can comprise passive mixers, although the scope of the embodiments is not limited in this respect.
  • the mixer circuitry 206a of the transmit signal path can be configured to up-convert input baseband signals based on the synthesized frequency provided by the synthesizer circuitry 206d to generate RF output signals for the FEM circuitry 208.
  • the baseband signals can be provided by the baseband circuitry 204 and can be filtered by filter circuitry 206c.
  • the mixer circuitry 206a of the receive signal path and the mixer circuitry 206a of the transmit signal path can include two or more mixers and can be arranged for quadrature downconversion and upconversion, respectively.
  • the mixer circuitry 206a of the receive signal path and the mixer circuitry 206a of the transmit signal path can include two or more mixers and can be arranged for image rejection (e.g., Hartley image rejection).
  • the mixer circuitry 206a of the receive signal path and the mixer circuitry 206a can be arranged for direct downconversion and direct upconversion, respectively.
  • the mixer circuitry 206a of the receive signal path and the mixer circuitry 206a of the transmit signal path can be configured for super-heterodyne operation.
  • the output baseband signals and the input baseband signals can be analog baseband signals, although the scope of the embodiments is not limited in this respect.
  • the output baseband signals and the input baseband signals can be digital baseband signals.
  • the RF circuitry 206 can include analog-to-digital converter (ADC) and digital-to-analog converter (DAC) circuitry and the baseband circuitry 204 can include a digital baseband interface to communicate with the RF circuitry 206.
  • ADC analog-to-digital converter
  • DAC digital-to-analog converter
  • a separate radio IC circuitry can be provided for processing signals for each spectrum, although the scope of the
  • the synthesizer circuitry 206d can be a fractional-N synthesizer or a fractional N/N+1 synthesizer, although the scope of the embodiments is not limited in this respect as other types of frequency synthesizers can be suitable.
  • synthesizer circuitry 206d can be a delta-sigma synthesizer, a frequency multiplier, or a synthesizer comprising a phase-locked loop with a frequency divider.
  • the synthesizer circuitry 206d can be configured to synthesize an output frequency for use by the mixer circuitry 206a of the RF circuitry 206 based on a frequency input and a divider control input.
  • the synthesizer circuitry 206d can be a fractional N/N+1 synthesizer.
  • frequency input can be provided by a voltage controlled oscillator (VCO), although that is not a requirement.
  • VCO voltage controlled oscillator
  • Divider control input can be provided by either the baseband circuitry 204 or the applications processor 202 depending on the desired output frequency.
  • a divider control input e.g., N
  • N can be determined from a look-up table based on a channel indicated by the applications processor 202.
  • Synthesizer circuitry 206d of the RF circuitry 206 can include a divider, a delay-locked loop (DLL), a multiplexer and a phase accumulator.
  • the divider can be a dual modulus divider (DMD) and the phase accumulator can be a digital phase accumulator (DPA).
  • the DMD can be configured to divide the input signal by either N or N+1 (e.g., based on a carry out) to provide a fractional division ratio.
  • the DLL can include a set of cascaded, tunable, delay elements, a phase detector, a charge pump and a D-type flip- flop.
  • the delay elements can be configured to break a VCO period up into Nd equal packets of phase, where Nd is the number of delay elements in the delay line.
  • Nd is the number of delay elements in the delay line.
  • synthesizer circuitry 206d can be configured to generate a carrier frequency as the output frequency, while in other embodiments, the output frequency can be a multiple of the carrier frequency (e.g., twice the carrier frequency, four times the carrier frequency) and used in conjunction with quadrature generator and divider circuitry to generate multiple signals at the carrier frequency with multiple different phases with respect to each other.
  • the output frequency can be a LO frequency (fLO).
  • the RF circuitry 206 can include an IQ/polar converter.
  • FEM circuitry 208 can include a receive signal path which can include circuitry configured to operate on RF signals received from one or more antennas 210, amplify the received signals and provide the amplified versions of the received signals to the RF circuitry 206 for further processing.
  • FEM circuitry 208 can also include a transmit signal path which can include circuitry configured to amplify signals for transmission provided by the RF circuitry 206 for transmission by one or more of the one or more antennas 21 0.
  • the amplification through the transmit or receive signal paths can be done solely in the RF circuitry 206, solely in the FEM 208, or in both the RF circuitry 206 and the FEM 208.
  • the FEM circuitry 208 can include a TX/RX switch to switch between transmit mode and receive mode operation.
  • the FEM circuitry can include a receive signal path and a transmit signal path.
  • the receive signal path of the FEM circuitry can include an LNA to amplify received RF signals and provide the amplified received RF signals as an output (e.g., to the RF circuitry 206).
  • the transmit signal path of the FEM circuitry 208 can include a power amplifier (PA) to amplify input RF signals (e.g., provided by RF circuitry 206), and one or more filters to generate RF signals for subsequent transmission (e.g., by one or more of the one or more antennas 21 0).
  • PA power amplifier
  • the PMC 212 can manage power provided to the baseband circuitry 204.
  • the PMC 212 can control power-source selection, voltage scaling, battery charging, or DC-to-DC conversion.
  • the PMC 212 can often be included when the device 200 is capable of being powered by a battery, for example, when the device is included in a UE.
  • the PMC 21 2 can increase the power conversion efficiency while providing desirable implementation size and heat dissipation
  • FIG. 2 shows the PMC 212 coupled only with the baseband circuitry 204.
  • the PMC 2 12 can be additionally or alternatively coupled with, and perform similar power management operations for, other components such as, but not limited to, application circuitry 202, RF circuitry 206, or FEM 208.
  • the PMC 212 can control, or otherwise be part of, various power saving mechanisms of the device 200. For example, if the device 200 is in an RRC_Connected state, where it is still connected to the RAN node as it expects to receive traffic shortly, then it can enter a state known as Discontinuous Reception Mode (DRX) after a period of inactivity. During this state, the device 200 can power down for brief intervals of time and thus save power.
  • DRX Discontinuous Reception Mode
  • the device 200 can transition off to an RRCJdle state, where it disconnects from the network and does not perform operations such as channel quality feedback, handover, etc.
  • the device 200 goes into a very low power state and it performs paging where again it periodically wakes up to listen to the network and then powers down again.
  • the device 200 does not receive data in this state, in order to receive data, it transitions back to RRC_Connected state.
  • An additional power saving mode can allow a device to be unavailable to the network for periods longer than a paging interval (ranging from seconds to a few hours). During this time, the device can be unreachable to the network and can power down completely. Any data sent during this time can incur a large delay with the delay presumed to be acceptable.
  • Processors of the application circuitry 202 and processors of the baseband circuitry 204 can be used to execute elements of one or more instances of a protocol stack.
  • processors of the baseband circuitry 204 alone or in combination, can be used execute Layer 3, Layer 2, or Layer 1 functionality, while processors of the application circuitry 204 can utilize data (e.g., packet data) received from these layers and further execute Layer 4 functionality (e.g., transmission communication protocol (TCP) and user datagram protocol (UDP) layers).
  • Layer 3 can comprise a radio resource control (RRC) layer, described in further detail below.
  • RRC radio resource control
  • Layer 2 can comprise a medium access control (MAC) layer, a radio link control (RLC) layer, and a packet data convergence protocol (PDCP) layer, described in further detail below.
  • Layer 1 can comprise a physical (PHY) layer of a UE/RAN node.
  • PHY physical
  • the memory 204G can comprise one or more machine-readable medium / media including instructions that, when performed by a machine or
  • Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another.
  • a storage media or a computer readable storage device can be any available media that can be accessed by a general purpose or special purpose computer.
  • such computer-readable media can comprise RAM, ROM, EEPROM, CD- ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or other tangible and/or non-transitory medium, that can be used to carry or store desired information or executable instructions.
  • any connection can also be termed a computer-readable medium.
  • coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwave
  • coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium.
  • the UE e.g., 1 01 , 102, or device 200
  • the UE can get paging for a packet service without knowing any further information about the paging of the MT procedure, such as whether someone is calling on a line, a VoIP call, or just some packet utilized from Facebook, other application service, or other similar MT service.
  • a greater opportunity exists for further delays without the possibility for the UE to discriminate between the different application packets that could initiate a paging and also give a different priority to it based on one or more user preferences. This can could be important for the UE because the UE might be doing other tasks more vital for resource allocation.
  • a UE e.g., 101 , 102, or device 200
  • a background search for other PLMNs This is a task the UE device 200 could do in regular intervals if it is not connected on its own home PLMN or a higher priority PLMN, but roaming somewhere else.
  • a higher priority could be a home PLMN or some other PLMNs according to a list provided by the provider or subscriber (e.g., HSS 124).
  • the device 200 can be configured to connect or include multiple subscriber identity / identification module (SIM) cards / components, referred to as dual SIM or multi SIM devices.
  • SIM subscriber identity / identification module
  • the device 200 can operate with a single transmit and receive component that can coordinate between the different identities from which the SIM components are operating. As such, an incoming voice call should be responded to as fast as possible, while only an incoming packet for an application could be relatively ignored in order to utilize resources for the other identity (e.g., the voice call or SIM component) that is more important or has a higher priority from a priority list / data set / or set of user device preferences, for example.
  • This same scenario can also be utilized for other operations or incoming data, such as with a PLMN background search such as a manual PLMN search, which can last for a long period of time since, especially with a large number of different bands from 2G, etc.
  • a PLMN background search such as a manual PLMN search
  • the network devices can interpret this manual PLMN search to serve and ensure against a drop or loss of any increment voice call, with more frequent interruptions in particular.
  • a MT IMS voice call can be interpreted as "data" call as indicated in MT paging message and can be preceded by MT Circuit Switched (CS) paging of an other network or MO CS call initiated by user at same time.
  • CS Circuit Switched
  • 3GPP NW can provide further granular information about the kind of service the network is paging for.
  • the Paging cause parameter could indicate one of the following values / classes / categories: 1 ) IMS voice/video service; 2) IMS SMS service; 3) IMS other services (not voice/video/SMS-related; 4) any IMS service; 5) Other PS service (not IMS-related).
  • a network device e.g., an eNB or access point
  • IMS and non-IMS services could use 4 and 5
  • a network that is able to discriminate between different types of IMS services could use 3) instead of 4) to explicitly indicate to the UE that the paging is for an IMS service different from voice/video and SMS.
  • UE may decide to suspend PLMN search only for critical services like incoming voice/video services.
  • the UE 101 , 102, or device 200 can memorize that there was a paging to which it did not respond, and access the network later, when the PLMN search has been completed and the UE decides to stay on the current PLMN. For example, if the reason for the paging was a mobile terminating IMS SMS, the MME can then inform the HSS (e.g., 124) that the UE is reachable again, and the HSS 124 can initiate a signaling procedure which will result in a delivery of the SMS to the UE once resources are more available or less urgent for another operation / application / or category, for example. To this purpose the UE 101 , 102, or 200 could initiate a periodic tau area update (TAU) procedure if the service category in the Paging message indicated "IMS SMS service", for example.
  • TAU periodic tau area update
  • FIG. 3 illustrates example interfaces of baseband circuitry in accordance with some embodiments.
  • the baseband circuitry 204 of FIG. 2 can comprise processors 204A-204E and a memory 204G utilized by said processors.
  • Each of the processors 204A-204E can include a memory interface, 304A-304E, respectively, to send/receive data to/from the memory 204G.
  • the baseband circuitry 204 can further include one or more interfaces to communicatively couple to other circuitries/devices, such as a memory interface 312 (e.g., an interface to send/receive data to/from memory external to the baseband circuitry 204), an application circuitry interface 314 (e.g., an interface to send/receive data to/from the application circuitry 202 of FIG. 2), an RF circuitry interface 316 (e.g., an interface to send/receive data to/from RF circuitry 206 of FIG.
  • a memory interface 312 e.g., an interface to send/receive data to/from memory external to the baseband circuitry 204
  • an application circuitry interface 314 e.g., an interface to send/receive data to/from the application circuitry 202 of FIG. 2
  • an RF circuitry interface 316 e.g., an interface to send/receive data to/from RF circuitry 206 of FIG.
  • a wireless hardware connectivity interface 31 8 e.g., an interface to send/receive data to/from Near Field Communication (NFC) components, Bluetooth® components (e.g., Bluetooth® Low Energy), Wi-Fi® components, and other communication components
  • a power management interface 320 e.g., an interface to send/receive power or control signals to / from the PMC 21 2.
  • a first technique generates reports for first and second dimensions. The reports are averaged across polarization.
  • a second technique generates separate covariance matrix reports for each polarization.
  • FIG. 4 is a diagram illustrating an architecture of a system 400 for generating channel covariance matrix reports/feedback in mobile communications in accordance with some embodiments.
  • the system 400 can be utilized with the above embodiments and variations thereof, including the system 100 described above.
  • the system 400 is provided as an example and it is appreciated that suitable variations are contemplated.
  • the system 400 generates and uses matrix report(s) R for dimensions that are averaged across polarizations.
  • the system 400 includes a network device 401 and a node 402.
  • the device 401 is shown as a UE device and the node 402 is shown as an gNB for illustrative purposes.
  • the UE device 401 can be other network devices, such as Aps, ANs and the like.
  • the gNB 402 can be other nodes or access nodes (ANs), such as BSs, eNB, RAN nodes and the like.
  • ANs access nodes
  • Other network or network devices can be present and interact with the device 401 and/or the node 402.
  • Downlink (DL) transmissions occur from the eNB 402 to the UE 401 whereas uplink (UL) transmissions occur from the UE 401 to the eNB 402.
  • the downlink transmissions utilize a DL control channel and a DL data channel.
  • the uplink transmissions utilize an UL control channel and a UL data channel.
  • the various channels can be different in terms of direction, link to another eNB and the like.
  • the UE 401 is one of a set or group of UE devices assigned to or associated with a cell of the gNB 402.
  • the gNB 402 maintains and used a codebook for generating downlink transmissions.
  • the gNB 402 maintains the codebook by updating entries in the codebook and/or adding entries to the codebook.
  • the entries can include and/or utilize precoders, codewords and the like. Equation (a), shown above shows an example of a codeword W1 .
  • the codebook is of a suitable type, such as Class A, Class B and the like. Further, the codebook can be a linear combination codebook.
  • the gNB 402 uses the codebook to simplify processing and to determine channel estimates.
  • the gNB 402 can use the codebook for precoding and the like.
  • the UE 401 performs and/or obtains channel measurements using CSI-RS for multiple antenna ports (Np).
  • the CSI-RS can utilize a single resource (time and/or frequency) or multiple resources (time and/or frequency).
  • the channel measurements can then be used to calculate a channel covariance matrix report. It is appreciated that other types of reference signals and/or other types of calculated channel information are contemplated.
  • the channel measurements are taken at the UE 401 for multiple (Np) antenna ports.
  • the channel measurements can be explicitly or implicitly partitioned into channel measurement sets, e.g. into a first set of antenna ports with Np 12 antenna ports and 2 nd set of antenna ports with Np / 2 antenna ports.
  • a set channel measurements can be transmitted using different non-zero powered (NZP) CSI-RS resource(s), while for explicit partitioning, the partitioning into sets is performed within a single NZP CSI-RS resource.
  • NZP non-zero powered
  • the channel measurements h obtained from a NZP CSI-RS can be partitioned as follows:
  • hi is channel vector of dimension Np / 2 corresponding to the antenna ports of the first set (e.g., antenna ports of a first polarization) for first antenna port(s) and h 2 is channel vector of dimension Np / 2 corresponding to the antenna ports of the second set (e.g. antenna ports of a second polarization).
  • the channel covariance matrix measurements at the UE 401 for the first and second antenna port sets are obtained as follows:
  • E ⁇ is an operation of averaging across time and/or frequency resources on which the channel measurements are available at the UE 401 (e.g.
  • R j is an average of measurements for the first set (or dimension/direction) and R 2 is an average of measurements for the second set (or dimension/direction).
  • R j is an average of measurements for the first set (or dimension/direction)
  • R 2 is an average of measurements for the second set (or dimension/direction).
  • the UE 401 reports the average channel covariance matrix R (channel covariance matrix report R) across the 1 st and 2 nd antenna ports sets as follows:
  • the covariance matrix R can be reconstructed from the report matrix R as follows
  • the gNB 402 generates and transmits channel state information - reference signals (CSI-RS) at 406 for the UE 401 .
  • the reference signals can utilize one or more resources, including time and frequency resources.
  • the UE 401 receives the CSI-RS and performs/obtains channel
  • the first set of measurements can be in the form of a vector of dimension Np/2.
  • the second set of measurements can also be in the form of a vector of dimension Np/2.
  • the UE 401 determines covariance matrix measurements for each set using the equation (2), shown above.
  • the UE 401 averages, in one example, the
  • the UE 401 then generates an average channel covariance matrix report R as in equation (3).
  • the average channel covariance matrix report R is reported at 408 to the gNB 402.
  • a channel covariance matrix R is generated based on the matrix report R, and the channel covariance matrix R is then used to transform a UE codebook at the UE 401 at 410 and to transform the base station codebook at the gNB 402 at 412.
  • the gNB 402 uses the average channel covariance matrix to update the codebook at 412 maintained at the gNB 402.
  • the UE 401 uses the channel covariance matrix R to update the UE based codebook maintained at the UE 401 .
  • the UE codebook and the base station codebook are maintained to be identical or substantially identical.
  • the codebook maintenance/modification can be used for Class A and/or Class B beamforming, as shown above.
  • the UE 401 can generate CSI feedback based on the CSI-RS at 414 using the transformed UE codebook.
  • the gNB 402 can then use the modified/transformed codebook for downlink transmissions.
  • the UE 401 and/or the gNB 402 can provide their transformed codebook and/or codebook updates at 416 as shown.
  • FIG. 5 is a diagram illustrating an architecture of a system 500 for generating channel covariance matrix reports/feedback in mobile communications in accordance with some embodiments.
  • the system 500 can be utilized with the above embodiments and variations thereof, including the system 100 described above.
  • the system 500 is provided as an example and it is appreciated that suitable variations are contemplated.
  • the system 500 uses channel covariance matrix report(s) R averaged across polarizations and/or per polarization.
  • the system 500 includes a network device 501 and a node 502.
  • the device 501 is shown as a UE device and the node 502 is shown as a gNB for illustrative purposes.
  • the UE device 501 can be other network devices, such as Aps, ANs and the like.
  • the gNB 502 can be other nodes or access nodes (ANs), such as BSs, eNB, RAN nodes and the like.
  • ANs access nodes
  • Other network or network devices can be present and interact with the device 501 and/or the node 502.
  • Downlink (DL) transmissions occur from the eNB 502 to the UE 501 whereas uplink (UL) transmissions occur from the UE 501 to the eNB 502.
  • the downlink transmissions utilize a DL control channel and a DL data channel.
  • the uplink transmissions utilize an UL control channel and a UL data channel.
  • the various channels can be different in terms of direction, link to another eNB and the like.
  • the UE 501 is one of a set or group of UE devices assigned to or associated with a cell of the gNB 502.
  • the gNB 502 maintains and used a codebook for generating downlink transmissions.
  • the gNB 502 maintains the codebook by updating entries in the codebook and/or adding entries to the codebook.
  • the gNB 502 uses the codebook to simplify processing and to determine channel estimates.
  • the gNB 502 can use the codebook for precoding and the like.
  • the UE 501 performs and/or obtains channel measurements using CSI-RS for multiple antenna ports (Np). The channel measurements can then be used to calculate a channel covariance matrix report. It is appreciated that other types of reference signals and/or other types of calculated channel information are
  • channel measurements for first and second dimensions are partitioned according to antenna port groups/sets.
  • an antenna port partition into groups can be applied for a two dimensional (2D) antenna array, where the antenna ports in each group corresponds to one or more linear antenna arrays for the first dimension and for the second dimension.
  • 2D two dimensional
  • a first group includes antenna port columns and a second group includes antenna port rows.
  • the partitions/groups can be explicit or implicit.
  • the antenna port in the first and second antenna port group are transmitted in different CSI- RS resources.
  • Equation (1 ) provides an example of partitioning the measurements h into sets/groups n and h 2 .
  • the UE 501 calculates two channel covariance matrices reports R u and R t 2 corresponding to the antenna ports in the first and second dimensions as follows.
  • the channel covariance matrix R x for the antennas of first polarization can be reconstructed from matrice(s) Ri,i and Ri, 2 (report matrice(s)) as follows
  • R 1 R U ® R 1 2 , (6)
  • R 2 R 2 1 ® R 2 2 (6.5)
  • the reconstructed channel covariance matrix is defined as follows:
  • R ® (R U + R 24 )® (R + R 2,2 ) (7)
  • the reconstructed channel matrix Rcan be used for pre-coding matrix indicator (PMI) construction based on linear combining of precoding vectors. It is also appreciated that the reconstructed channel matrix or reconstructed channel covariance matrix Rcan also be obtained using the equation (4), described above.
  • PMI pre-coding matrix indicator
  • the reconstructed channel covariance matrix R is then used to modify the set of pre-coders within a codebook.
  • the linear combining PMI can be calculated at the gNB 502 and/or UE 501 as follows
  • V R ' ⁇ is / eigen vectors corresponding to the largest principle eigenvalues of the matrix R .
  • the CSI-RS is transmitted to the UE 501 with beamforming vectors obtained from the reconstructed matrix R from the report value.
  • the codebook is updated/modified at the UE 501 or gNB 502 based on the compressed channel covariance matrix and using equations (8) or (9). Additionally, the codebook can be maintained at the UE 501 and/or the gNB 502, as shown in the system 400, described above.
  • the gNB 502 generates and transmits channel state information - reference signals (CSI-RS) at 506 for the UE 501 .
  • CSI-RS channel state information - reference signals
  • the UE 501 receives the CSI-RS and performs/obtains channel
  • the UE 501 is configured to calculate first and second covariance matrices in first and second dimensions, such as by using equation (5).
  • the first and second matrices are reported to the gNB 502 at 508.
  • a first channel covariance matrix is generated or reconstructed for the first polarization based on the first and second reported matrices.
  • equation (6) is used to generate the first channel covariance matrix.
  • a second channel covariance matrix is also generated or reconstructed for a second polarization based on the first and second reported matrices.
  • the equation (6) can be modified and/or used for generating the second channel covariance matrix.
  • the UE 501 or the gNB 502 then generate a reconstructed channel covariance matrix using equation (7).
  • Additional CSI-RS can be generated and transmitted by the gNB 502 and provided to the UE 501 at 510 with beamforming vectors based on the reconstructed channel covariance matrix R .
  • the UE 501 then generates channel information, such as channel state information (CSI) based on the CSI-RS provided at 510.
  • the UE 501 generates and provides feedback based on the CSI at 514.
  • CSI channel state information
  • FIG. 6 is a diagram illustrating a suitable two dimensional antenna array structure 600 having two polarizations.
  • the array structure 600 uses both a vertical and horizontal direction and can be used with the systems 100, 400, 500 and variations thereof. It is appreciated that suitable arrangements of the array structure 600 are contemplated.
  • the structure 600 can be used as a multiple input multiple output (MIMO) design and is a two dimensional planar array.
  • the structure 600 includes a plurality of antenna elements or antenna ports placed in a vertical direction and a horizontal direction.
  • the antenna array structure 600 is arranged in columns and rows, where N is a number of columns and M a number of antenna elements/ports with the same polarization in each column.
  • the antenna elements are uniformly spaced in the horizontal direction with a spacing of dH and are also uniformly spaced in the vertical direction with a spacing of dV.
  • the antenna ports in the antenna array are configured to transmit and receive waves with two polarizations corresponding to polarization slants of +/- 45 degrees. It is appreciated that the antenna array structure can be configured with other types of polarizations.
  • the array structure 600 can be partitioned or segmented into sets/groups.
  • associated measurements can be partitioned by antenna direction/polarization.
  • the partitioning can be based on direction, dimension, polarization, column, row and the like. Further, the partitioning can be implicit/explicit, as shown above.
  • FIG. 7 is a diagram illustrating various configurations 700 of beam subsets.
  • the configurations 700 are provided for illustrative purposes and it is appreciated that suitable variations and other suitable configurations are contemplated.
  • the configurations 700 are provided for illustrative purposes and it is appreciated that suitable variations and other suitable configurations are contemplated.
  • configurations 700 can be used with the above systems, including the system 100, 400 and 500.
  • the configurations 700 are depicted in two directions/dimensions. In one example, the vertical direction is a first dimension and the horizontal direction is a second dimension.
  • the configurations 700 include a first configuration (CONFIG 1 ), a second configuration (CONFIG 2), a third configuration (CONFIG 3), and a fourth configuration (CONFIG 4).
  • the first configuration, CONFIG 1 defines a single beam in W1 .
  • the second, third and fourth configurations define four beams in W1 .
  • the beams in the second configuration are adjacent in the first and second dimension.
  • the beams in the third configuration are in a checkerboard/alternating pattern in both dimensions.
  • the beams in the fourth configuration are adjacent over the second dimension.
  • the first configuration reduces UE complexity associated with selection of beam or pre-coding matrix indicator (PMI).
  • PMI pre-coding matrix indicator
  • the second, third and fourth configurations typically provide better performance than the first configuration, but at a higher complexity than the first configuration.
  • the configurations can be used for beamforming, including Class A and/or class B beamforming, as described above.
  • FIG. 8 is a flow diagram illustrating a method 800 for generating matrix reports and updating a codebook in accordance with some embodiments.
  • the method 800 facilitates precoding for one or more user equipment (UE) devices or nodes.
  • the nodes can be associated with a cell and a base station or other node.
  • the method or process 800 is described with reference to a UE device and a node, however it is appreciated that other device and/or nodes can be used.
  • the node can be other types of nodes, such as an eNB, gNB and the like.
  • the method 800 can be implemented using the above systems (system 100, 400, and 500), arrangements and variations thereof.
  • a node or serving cell generates CSI-RS for channel estimation. It is appreciated that other types of reference signals can also be generated instead of the CSI-RS.
  • a UE device obtains channel measurements using the CSI-RS at block 802.
  • the channel measurements are partitioned into sets or groups of measurements for a plurality of antenna ports.
  • the sets can be partitioned based on antenna port dimension, antenna port polarization, antenna port direction, implicitly, explicitly, and the like.
  • the measurement sets are partitioned into a first set for Np/2 antenna ports of first polarization and a second set for Np/2 antenna ports of a second polarization, where Np is a total number of antenna ports.
  • An example of suitable partitioning is shown above with regard to equation (1 ).
  • the UE device generates a report matrix R from the sets of measurements at block 806, where the report matrix R is averaged across polarizations.
  • the report matrix R is generated by averaging channel measurements for a set across time and/or frequency resources, such as shown in equations (2) and (3). It is appreciated that other sutiable techniques can be used to generate the report matrix R.
  • the node generates a covariance matrix based on the report matrix R at block 808.
  • a serving cell, UE device and the like can also generate the covariance matrix based on the report matrix R.
  • the covariance matrix is generated using the equation (4), described above.
  • the codebook is updated at block 810 based on the covariance matrix R.
  • the node can update the codebook, in one example.
  • the covariance matrix can also be used to construct a pre-coding matrix indicator (PMI) based on a liner combining of precoding vectors. Examples of generating/constructing a PMI and updating the codebook are provided above with regard to equations (8) and (9).
  • the UE device also generates CSI feedback based on the CSI-RS at block 81 2.
  • the UE device can utilize the updated codebook to provide and/or generate the CSI feedback.
  • the method 800 can be repeated and/or re-utilized to re-generate the covariance matrix and/or update the codebook. It is appreciated that suitable variations of the method 800 are contemplated.
  • FIG. 9 is a flow diagram illustrating a method 900 for generating matrix reports and updating a codebook in accordance with some embodiments.
  • the method 900 facilitates precoding for one or more user equipment (UE) devices or nodes.
  • the nodes can be associated with a cell and a base station or other node.
  • the method or process 900 is described with reference to a UE device and a node, however it is appreciated that other device and/or nodes can be used.
  • the node can be other types of nodes, such as an eNB, gNB and the like.
  • the method 900 can be implemented using the above systems (system 100, 400, and 500), arrangements and variations thereof.
  • a node or serving cell generates CSI-RS for channel estimation. It is appreciated that other types of reference signals can also be generated instead of the CSI-RS.
  • a UE device obtains channel measurements using the CSI-RS at block 902.
  • the channel measurements are partitioned into sets or groups of measurements for a plurality of antenna ports.
  • the sets can be partitioned based on antenna port dimension, antenna port polarization, antenna port direction, implicitly, explicitly, and the like.
  • the measurement sets are partitioned into a first set for Np/2 antenna ports of first polarization and a second set for Np/2 antenna ports of a second polarization, where Np is a total number of antenna ports.
  • An example of suitable partitioning is shown above with regard to equation (1 ).
  • the UE device generates one or more report matrices R from the sets of measurements at block 906 based on an average of the polarizations or per
  • report matrices are generated for first and second dimensions. Suitable examples are shown above with regard to equations (5) and (6). It is appreciated that other suitable techniques can be used to generate one or more report matrices R.
  • the node generates a covariance matrix R based on the report matrices R at block 908.
  • a serving cell, UE device and the like can also generate the covariance matrix R based on the report matrices R.
  • the covariance matrix is generated or reconstructed as shown above with regard to equation (7).
  • the node generates second CSI-RS based at least partially on the generated covariance matrix at block 910.
  • the UE device also generates CSI feedback based on the second CSI-RS at block 912.
  • the codebook is updated at block 914 based on the covariance matrix.
  • the node can update the codebook, in one example.
  • the covariance matrix can also be used to construct a pre-coding matrix indicator (PMI) based on a liner combining of precoding vectors. Examples of generating/constructing a PMI and updating the codebook are provided above with regard to equations (8) and (9).
  • the method 900 can be repeated and/or re-utilized to re-generate the covariance matrix and/or update the codebook. It is appreciated that suitable variations of the method 900 are contemplated.
  • circuitry may refer to, be part of, or include an Application Specific Integrated Circuit (ASIC), an electronic circuit, a processor (shared, dedicated, or group), and/or memory (shared, dedicated, or group) that execute one or more software or firmware programs, a combinational logic circuit, and/or other suitable hardware components that provide the described functionality.
  • ASIC Application Specific Integrated Circuit
  • the circuitry may be implemented in, or functions associated with the circuitry may be implemented by, one or more software or firmware modules.
  • circuitry may include logic, at least partially operable in hardware.
  • processor can refer to substantially any computing processing unit or device including, but not limited to including, single-core processors; single-processors with software multithread execution capability; multi-core processors; multi-core processors with software multithread execution capability; multi-core processors with hardware multithread technology;
  • a processor can refer to an integrated circuit, an application specific integrated circuit, a digital signal processor, a field programmable gate array, a programmable logic controller, a complex programmable logic device, a discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions and/or processes described herein.
  • Processors can exploit nano-scale architectures such as, but not limited to, molecular and quantum-dot based transistors, switches and gates, in order to optimize space usage or enhance performance of mobile devices.
  • a processor may also be implemented as a combination of computing processing units.
  • memory components or entities embodied in a “memory,” or components including the memory. It is noted that the memory components described herein can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory.
  • nonvolatile memory for example, can be included in a memory, non-volatile memory (see below), disk storage (see below), and memory storage (see below). Further, nonvolatile memory can be included in read only memory, programmable read only memory, electrically programmable read only memory, electrically erasable programmable read only memory, or flash memory.
  • Volatile memory can include random access memory, which acts as external cache memory.
  • random access memory is available in many forms such as synchronous random access memory, dynamic random access memory, synchronous dynamic random access memory, double data rate synchronous dynamic random access memory, enhanced synchronous dynamic random access memory, Synchlink dynamic random access memory, and direct Rambus random access memory.
  • the disclosed memory components of systems or methods herein are intended to include, without being limited to including, these and any other suitable types of memory.
  • Example 1 is an apparatus configured to be employed within a base station.
  • the apparatus comprises baseband circuitry which includes a radio frequency (RF) interface and one or more processors.
  • RF radio frequency
  • the one or more processors are configured to generate channel state information reference signals (CSI-RS) for an antenna array and provide the CSI-RS to the RF interface for transmission to a user equipment (UE) device, receive one or more report matrices based on sets of measurements of the CSI- RS and from the RF interface, and generate a channel covariance matrix based on the received one or more report matrices.
  • CSI-RS channel state information reference signals
  • Example 2 includes the subject matter of Example 1 , including or omitting optional elements, where the CSI-RS the CSI-RS uses a single resource.
  • Example 3 includes the subject matter of any of Examples 1 -2, including or omitting optional elements, where the report matrices comprise a first report matrix based on a first set of measurements for a first polarization of the antenna array and a second report matrix based on a second set of measurements for a second polarization of the antenna array.
  • Example 4 includes the subject matter of any of Examples 1 -3, including or omitting optional elements, where the one or more report matrices is based on an average of a first report matrix based on a first polarization and a second report matrix based on a second polarization.
  • Example 5 includes the subject matter of any of Examples 1 -4, including or omitting optional elements, where the sets of measurements include a first set based on a first dimension of the antenna array and a second set based on a second dimension of the antenna array.
  • Example 6 includes the subject matter of any of Examples 1 -5, including or omitting optional elements, where the one or more report matrices comprise a first report matrix based on the first set of measurements and a second report matrix based on the second set of measurements.
  • Example 7 includes the subject matter of any of Examples 1 -6, including or omitting optional elements, where the channel covariance matrix is based on the first report matrix and the second report matrix.
  • Example 8 includes the subject matter of any of Examples 1 -7, including or omitting optional elements, where the one or more processors are further configured to generate a pre-coding matrix indicator (PMI) construction based on the generated channel covariance matrix.
  • PMI pre-coding matrix indicator
  • Example 9 includes the subject matter of any of Examples 1 -8, including or omitting optional elements, where the channel covariance matrix is based on
  • R is the channel covariance matrix and R is the one or more
  • Example 10 includes the subject matter of any of Examples 1 -9, including or omitting optional elements, where the channel covariance matrix is based on
  • R u is a first report matrix of the one or more report matrices
  • R 2 ⁇ is a second report matrix of the one or more report matrices
  • R is a third report matrix of the one or more report matrices
  • R 2 2 is a fourth report matrix of the one or more report matrices.
  • Example 1 1 includes the subject matter of any of Examples 1 -10, including or omitting optional elements, the one or more processors are configured to modify a codebook based on the generated covariance matrix.
  • Example 12 is an apparatus configured to be employed within a user equipment (UE) device comprising baseband circuitry.
  • the baseband circuitry includes a radio frequency (RF) interface and one or more processors.
  • the one or more processors are configured to obtain a plurality of measurements based on the CS I-RS ; partition the plurality of measurements into two or more sets based on antenna array factors; generate one or more report matrices based on the two or more sets; and provide the one or more report matrices to the RF interface for transmission to base station.
  • RF radio frequency
  • Example 13 includes the subject matter of Example 12, including or omitting optional elements, where the one or more processors are configured to generate the one or more report matrices by averaging the plurality of measurements across time and/or frequency.
  • Example 14 includes the subject matter of any of Examples 12-13, including or omitting optional elements, the antenna array factors include one or more of antenna port, antenna polarization, antenna dimension, and antenna direction.
  • Example 15 includes the subject matter of Examples 12-14, including or omitting optional elements, where the RF interface is configured to receive beamformed CS I-RS from the base station, wherein the beamformed CSI-RS is based on the one or more report matrices.
  • Example 16 includes the subject matter of any of Examples 12-15, including or omitting optional elements, where the one or more processors are configured to generate channel feedback based on the beamformed CSI-RS.
  • Example 17 includes the subject matter of any of Examples 12-16, including or omitting optional elements, where the one or more processors are configured to generate a channel covariance matrix based on the one or more report matrices.
  • Example 18 includes the subject matter of any of Examples 12-17, including or omitting optional elements, where the one or more processors are configured to modify a UE codebook based on the generated channel covariance matrix.
  • Example 19 includes the subject matter of any of Examples 12-18, including or omitting optional elements, where the channel covariance matrix is based on
  • R is the channel covariance matrix and R is the one or more
  • Example 20 is one or more computer-readable media having instructions that, when executed, cause a base station to generate reference signals associated with an antenna array, the antenna array having first and second polarizations; obtain one or more report matrices based on channel measurements based on the generated reference signals; generate a channel covariance matrix based on the obtained one or more report matrices; and modify a base station codebook based on the generated channel covariance matrix.
  • Example 21 includes the subject matter of Example 20, including or omitting optional elements, where the instructions, when executed, further cause the base station to modify a set of pre-coders within the base station codebook based on the channel covariance matrix.
  • Example 23 is an apparatus configured to be employed within a user equipment (UE) device.
  • the apparatus includes a means to obtain a plurality of channel measurements based on reference signals associated with an antenna array; a means to partition the plurality of channel measurements into two or more sets based on antenna array factors; a means to generate one or more report matrices based on the two or more sets of channel measurements; and a means to generate a channel covariance matrix based on the one or more report matrices.
  • UE user equipment
  • Example 24 includes the subject matter of Example 23, including or omitting optional elements, further comprising a means to modify a codebook based on the channel covariance matrix.
  • Example 25 includes the subject matter of any of Examples 21 -22, including or omitting optional elements, where the antenna factors are first and second polarizations of the antenna array.
  • Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another.
  • a storage media or a computer readable storage device can be any available media that can be accessed by a general purpose or special purpose computer.
  • such computer-readable media can comprise RAM, ROM, EEPROM, CD- ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or other tangible and/or non-transitory medium, that can be used to carry or store desired information or executable instructions.
  • any connection is properly termed a computer-readable medium.
  • a computer-readable medium includes compact disc (CD), laser disc, optical disc, digital versatile disc (DVD), floppy disk and blu-ray disc where disks usually reproduce data magnetically, while discs reproduce data optically with lasers.
  • DSP digital signal processor
  • ASIC application specific integrated circuit
  • FPGA field programmable gate array
  • a general-purpose processor can be a microprocessor, but, in the alternative, processor can be any conventional processor, controller, microcontroller, or state machine.
  • a processor can also be implemented as a combination of computing devices, for example, 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. Additionally, at least one processor can comprise one or more modules operable to perform one or more of the s and/or actions described herein.
  • modules e.g., procedures, functions, and so on
  • Software codes can be stored in memory units and executed by processors.
  • Memory unit can be implemented within processor or external to processor, in which case memory unit can be communicatively coupled to processor through various means as is known in the art.
  • at least one processor can include one or more modules operable to perform functions described herein.
  • a CDMA system can implement a radio technology such as Universal Terrestrial Radio Access (UTRA), CDMA1800, etc.
  • UTRA includes Wideband-CDMA (W-CDMA) and other variants of CDMA.
  • W-CDMA Wideband-CDMA
  • CDMA1800 covers IS-1800, IS-95 and IS-856 standards.
  • a TDMA system can implement a radio technology such as Global System for Mobile
  • GSM Global System for Mobile Communications
  • E-UTRA Evolved UTRA
  • UMB Ultra Mobile Broadband
  • Wi-Fi IEEE 802.1 1
  • WiMAX IEEE 802.16
  • IEEE 802.18, Flash-OFDM etc.
  • UTRA and E-UTRA are part of Universal Mobile Telecommunication System (UMTS).
  • 3GPP Long Term Evolution (LTE) is a release of UMTS that uses E-UTRA, which employs OFDMA on downlink and SC-FDMA on uplink.
  • UTRA, E-UTRA, UMTS, LTE and GSM are described in documents from an organization named "3rd Generation Partnership Project" (3GPP).
  • CDMA1 800 and UMB are described in documents from an organization named "3rd Generation Partnership Project 2" (3GPP2). Further, such wireless communication systems can additionally include peer-to-peer (e.g., mobile-to-mobile) ad hoc network systems often using unpaired unlicensed spectrums, 802. xx wireless LAN, BLUETOOTH and any other short- or long- range, wireless communication techniques.
  • SC-FDMA Single carrier frequency division multiple access
  • SC-FDMA which utilizes single carrier modulation and frequency domain equalization is a technique that can be utilized with the disclosed aspects. SC-FDMA has similar performance and essentially a similar overall complexity as those of OFDMA system. SC-FDMA signal has lower peak-to-average power ratio (PAPR) because of its inherent single carrier structure. SC-FDMA can be utilized in uplink communications where lower PAPR can benefit a mobile terminal in terms of transmit power efficiency.
  • PAPR peak-to-average power ratio
  • various aspects or features described herein can be implemented as a method, apparatus, or article of manufacture using standard programming and/or engineering techniques.
  • article of manufacture as used herein is intended to encompass a computer program accessible from any computer-readable device, carrier, or media.
  • computer-readable media can include but are not limited to magnetic storage devices (e.g., hard disk, floppy disk, magnetic strips, etc.), optical disks (e.g., compact disk (CD), digital versatile disk (DVD), etc.), smart cards, and flash memory devices (e.g., EPROM, card, stick, key drive, etc.).
  • various storage media described herein can represent one or more devices and/or other machine-readable media for storing information.
  • machine-readable medium can include, without being limited to, wireless channels and various other media capable of storing, containing, and/or carrying instruction(s) and/or data.
  • a computer program product can include a computer readable medium having one or more instructions or codes operable to cause a computer to perform functions described herein.
  • Communications media embody computer-readable instructions, data structures, program modules or other structured or unstructured data in a data signal such as a modulated data signal, e.g., a carrier wave or other transport mechanism, and includes any information delivery or transport media.
  • modulated data signal or signals refers to a signal that has one or more of its characteristics set or changed in such a manner as to encode information in one or more signals.
  • communication media include wired media, such as a wired network or direct-wired connection, and wireless media such as acoustic, RF, infrared and other wireless media.
  • a software module can reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
  • An exemplary storage medium can be coupled to processor, such that processor can read information from, and write information to, storage medium.
  • storage medium can be integral to processor.
  • processor and storage medium can reside in an ASIC. Additionally, ASIC can reside in a user terminal.
  • processor and storage medium can reside as discrete components in a user terminal. Additionally, in some aspects, the s and/or actions of a method or algorithm can reside as one or any combination or set of codes and/or instructions on a machine-readable medium and/or computer readable medium, which can be incorporated into a computer program product.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

Selon la présente invention, un appareil est configuré pour être utilisé dans une station de base. L'appareil comprend un ensemble de circuits de bande de base qui comporte une interface radiofréquence (RF) et un ou plusieurs processeurs. Le ou les processeurs sont configurés pour générer des signaux de référence d'informations d'état de canal (CSI-RS) pour un réseau d'antennes, fournir le CSI-RS à l'interface RF pour une transmission à un équipement utilisateur (UE), recevoir une ou plusieurs matrices de rapport basées sur des ensembles de mesures du CSI-RS et provenant de l'interface RF, et générer une matrice de covariance de canal sur la base desdites matrices de rapport reçues.
PCT/US2017/066626 2016-12-20 2017-12-15 Matrice de covariance de canal basée sur des mesures de canal pour des systèmes de communication Ceased WO2018118677A2 (fr)

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CN109672464A (zh) * 2018-12-13 2019-04-23 西安电子科技大学 基于fcfnn的大规模mimo信道状态信息反馈方法
CN112673580A (zh) * 2018-08-30 2021-04-16 上海诺基亚贝尔股份有限公司 大规模mimo系统中下行链路信道状态信息的确定
CN115004576A (zh) * 2020-01-31 2022-09-02 高通股份有限公司 用于有效的可靠且低等待时间通信的空间分集报告
CN115720104A (zh) * 2021-08-25 2023-02-28 联发科技股份有限公司 确定mimo系统的预编码器的方法和用户设备
US12015960B1 (en) * 2021-09-02 2024-06-18 T-Mobile Innovations Llc System and method for redirection to optimal antenna arrays

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112673580A (zh) * 2018-08-30 2021-04-16 上海诺基亚贝尔股份有限公司 大规模mimo系统中下行链路信道状态信息的确定
CN109672464A (zh) * 2018-12-13 2019-04-23 西安电子科技大学 基于fcfnn的大规模mimo信道状态信息反馈方法
CN109672464B (zh) * 2018-12-13 2021-09-03 西安电子科技大学 基于fcfnn的大规模mimo信道状态信息反馈方法
CN115004576A (zh) * 2020-01-31 2022-09-02 高通股份有限公司 用于有效的可靠且低等待时间通信的空间分集报告
CN115720104A (zh) * 2021-08-25 2023-02-28 联发科技股份有限公司 确定mimo系统的预编码器的方法和用户设备
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US12015960B1 (en) * 2021-09-02 2024-06-18 T-Mobile Innovations Llc System and method for redirection to optimal antenna arrays

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