[go: up one dir, main page]

WO2023004563A1 - Procédé d'obtention de signal de référence et dispositifs de communication - Google Patents

Procédé d'obtention de signal de référence et dispositifs de communication Download PDF

Info

Publication number
WO2023004563A1
WO2023004563A1 PCT/CN2021/108570 CN2021108570W WO2023004563A1 WO 2023004563 A1 WO2023004563 A1 WO 2023004563A1 CN 2021108570 W CN2021108570 W CN 2021108570W WO 2023004563 A1 WO2023004563 A1 WO 2023004563A1
Authority
WO
WIPO (PCT)
Prior art keywords
reference signal
communication device
pilot
channel information
signal
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/CN2021/108570
Other languages
English (en)
Chinese (zh)
Inventor
肖寒
田文强
刘文东
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Oppo Mobile Telecommunications Corp Ltd
Original Assignee
Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Guangdong Oppo Mobile Telecommunications Corp Ltd filed Critical Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority to CN202180095958.1A priority Critical patent/CN117044145A/zh
Priority to PCT/CN2021/108570 priority patent/WO2023004563A1/fr
Publication of WO2023004563A1 publication Critical patent/WO2023004563A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path

Definitions

  • the present invention relates to the field of communication technology, in particular to a method for acquiring a reference signal and a communication device.
  • the actual pilot signal received by the receiving end is not consistent with the pilot signal symbol sequence sent by the sending end, so the sending end
  • the end needs the receiver to feed back channel information so that the sender can combine the actual channel information for subsequent precoding, so the sender knows the actual pilot signal of the receiver, or the sender knows that the feedback from the receiver matches the actual pilot signal better channel information is an urgent problem to be solved.
  • Embodiments of the present invention provide a method for obtaining a reference signal and a communication device.
  • the transmitting end can obtain the actual pilot signal received by the receiving end, and thereby obtain channel information that better matches the actual pilot signal.
  • a method for obtaining a reference signal including:
  • the compressed reference signal After sending the first reference signal to the second communication device, receiving the compressed reference signal sent by the second communication device, the compressed reference signal is obtained by compressing and encoding the second reference signal, and the second reference signal is a reference signal corresponding to the first reference signal received by the second communication device;
  • the compressed reference signal is decoded and reconstructed to obtain a third reference signal.
  • a method for obtaining a reference signal including:
  • the receiver is configured to receive the compressed reference signal sent by the second communication device after sending the first reference signal to the second communication device, where the compressed reference signal is obtained by compressing and encoding the second reference signal, the
  • the second reference signal is a reference signal received by the second communication device and corresponding to the first reference signal;
  • a processor configured to decode and reconstruct the compressed reference signal to obtain a third reference signal.
  • the receiver is configured to receive the compressed reference signal sent by the second communication device after sending the first reference signal to the second communication device, where the compressed reference signal is obtained by compressing and encoding the second reference signal, the
  • the second reference signal is a reference signal received by the second communication device and corresponding to the first reference signal;
  • a processor configured to decode and reconstruct the compressed reference signal to obtain a third reference signal.
  • a second communication device including:
  • a receiver configured to receive a second reference signal corresponding to the first reference signal sent by the first communication device
  • a processor configured to perform compression coding processing on the second reference signal to obtain a compressed reference signal
  • a transmitter configured to send the compressed reference signal to the first communication device.
  • a first communication device including:
  • the receiving module is configured to receive the compressed reference signal sent by the second communication device after sending the first reference signal to the second communication device, the compressed reference signal is obtained by compressing and encoding the second reference signal, the The second reference signal is a reference signal received by the second communication device and corresponding to the first reference signal;
  • a processing module configured to decode and reconstruct the compressed reference signal to obtain a third reference signal.
  • a second communication device including:
  • a receiving module configured to receive a second reference signal, where the second reference signal corresponds to the first reference signal sent by the first communication device;
  • a processing module configured to compress and encode the second reference signal to obtain a compressed reference signal
  • a sending module configured to send the compressed reference signal to the first communication device.
  • a computer-readable storage medium comprising: computer instructions, when the computer instructions are run on a computer, the computer is made to execute the method of the first aspect above.
  • FIG. 1 is a schematic diagram of a basic workflow of a wireless communication system provided by an embodiment of the present invention
  • FIG. 3 is a schematic diagram of the basic structure of a neural network provided by an embodiment of the present invention.
  • FIG. 4A is a schematic diagram of a convolutional neural network provided by an embodiment of the present invention.
  • FIG. 4B is a schematic diagram of an LSTM model provided by an embodiment of the present invention.
  • FIG. 5 is a schematic diagram of a channel estimation process of a neural network provided by an embodiment of the present invention.
  • FIG. 6 is a schematic diagram of a channel feedback process of a neural network provided by an embodiment of the present invention.
  • FIG. 7 is a schematic diagram of a channel information feedback system provided by an embodiment of the present invention.
  • FIG. 8 is a schematic diagram of a method for acquiring a reference signal provided by an embodiment of the present invention.
  • FIG. 9 is a schematic diagram of an overall signal flow of a CSI feedback scheme for compressed pilot signals provided by an embodiment of the present invention.
  • FIG. 10 is a schematic diagram of a training phase of a pilot design module provided by an embodiment of the present invention.
  • FIG. 12 is a schematic structural diagram of a first communication device provided by an embodiment of the present invention.
  • Fig. 14 is a schematic structural diagram of a communication device provided by an embodiment of the present invention.
  • words such as “exemplary” or “for example” are used as examples, illustrations or illustrations. Any embodiment or design solution described as “exemplary” or “for example” in the embodiments of the present invention shall not be construed as being more preferred or more advantageous than other embodiments or design solutions. Rather, the use of words such as “exemplary” or “such as” is intended to present related concepts in a concrete manner.
  • the transmitter (that is, the transmitting end device) performs channel coding and modulation on the source bit stream to obtain modulation symbols; then, pilot symbols can be inserted into the obtained modulation symbols for channel estimation and symbol detection at the receiving end; finally, the transmission The signal passes through the channel to the receiver.
  • Fig. 1 is a simple illustration of the basic work flow in the wireless communication system, and there may be other unlisted modules and work flow in the traditional communication system. For example, it may also include functional modules such as resource mapping, precoding, interference cancellation, and CSI measurement. These modules may be designed and implemented separately, and these independent modules may be integrated to form a complete wireless communication system.
  • the receiver's estimation and recovery of the wireless channel directly affects the data recovery performance of the final recovered bit stream.
  • the transmitter will also send a series of specific pilot symbols known to the receiver (that is, the data symbols shown in Figure 2) on the time-frequency resources Reference signal symbol), such as channel information reference signal (Channel-State Information Reference Signal, CSI-RS) signal, demodulation reference signal (Demodulation Reference Signal, DMRS) signal, etc.
  • CSI-RS Channel-State Information Reference Signal
  • DMRS Demodulation Reference Signal
  • FIG. 4A it is a schematic diagram of a convolutional neural network.
  • the basic structure of the convolutional neural network includes: an input layer, multiple convolutional layers, multiple pooling layers, a fully connected layer, and an output layer.
  • the introduction of the convolutional layer and the pooling layer effectively controls the sharp increase of network parameters, limits the number of parameters and taps the characteristics of the local structure, which improves the robustness of the algorithm.
  • the existing neural network-based channel estimation considers the use of artificial intelligence (AI) to realize channel estimation and recovery.
  • AI artificial intelligence
  • Figure 5 it is a schematic diagram of the channel estimation process of a neural network, wherein the reference signal is input into the AI-based channel estimation and recovery module and then outputs information, and the output information is the result of channel estimation and recovery (that is, in Figure 5 channel recovery results).
  • other auxiliary information can also be added to improve the performance of the AI-based channel estimation and recovery module.
  • these other auxiliary information may be feature extraction information, energy level information, delay feature information, noise feature information, etc. for the reference signal.
  • the neural network architecture commonly used in deep learning is nonlinear and data-driven. It can extract features from the actual channel matrix data and restore the channel matrix information compressed and fed back from the user equipment (UE) side as much as possible on the base station side. It also provides the possibility to reduce the CSI feedback overhead on the UE side while ensuring the restoration of channel information.
  • FIG. 7 it is a schematic diagram of a channel information feedback system.
  • the channel information feedback system is divided into an encoder and a decoder, wherein the encoder is deployed at the sending end (the receiver shown in Figure 1), and the decoder is deployed at the receiving end (the transmitter shown in Figure 1 ).
  • the channel information matrix is convoluted through the convolutional layer in the neural network of the encoder to obtain a 32 ⁇ 32 encoding matrix, and then the N ⁇ 1 encoding matrix is obtained through dimension conversion, and then further The N ⁇ 1 encoding matrix is compressed and converted into an M ⁇ 1 encoding matrix through the fully connected layer, where M is less than N, and the compressed encoding is completed, and the compressed encoded bit stream is fed back to the receiving end through the air interface feedback link, and the receiving end
  • the decoder restores the channel information according to the feedback bit stream to obtain complete feedback channel information.
  • the channel information feedback in the current 5G NR standard is a codebook-based feedback scheme.
  • the codebook-based feedback scheme is to select the optimal channel information eigenvalue vector from the codebook according to the estimated channel. Due to the limitation of the codebook itself, the channel information from the estimated channel information to the channel information in the codebook The mapping process is quantized and lossy, which reduces the accuracy of the final feedback channel information, thereby reducing the performance of precoding.
  • a neural network-based channel information feedback scheme which can directly encode and compress the channel information obtained after channel estimation, that is, the feedback is full channel information, which can alleviate the codebook-based The accuracy of the program.
  • the full channel information is recovered and received at the sending end, it is still necessary to perform eigenvalue decomposition on the full channel information matrix to obtain eigenvectors and use them for beamforming. Therefore, compared with directly compressing the eigenvectors, the compression of the full channel Too much redundant information in the information reduces the compression efficiency.
  • a scheme of using a neural network to directly compress and feed back feature vectors is introduced.
  • This scheme can divide the sub-carriers of the scheduling bandwidth into multiple groups, which correspond to multiple sub-band channels. After the channel estimation at the receiving end according to the received pilot signal to obtain the full channel information, the eigenvalue decomposition can be performed to obtain the eigenvector. And feed back the eigenvectors of each sub-band channel separately.
  • the granularity of sub-band channel division is finer, and the number of sub-band channels is also increased, and the overhead of feedback is still very large.
  • the receiving end Since the receiving end is often a terminal device such as a mobile phone in practical applications, it has less computing power than the base station side of the sending end. After receiving the pilot signal, a series of operations such as channel estimation and eigenvalue decomposition are required, which requires high computing power for terminal equipment, especially when considering AI-based channel estimation, the computing power of terminal equipment is even more demanding. High, the hardware implementation of the terminal equipment is quite difficult, and the actual terminal equipment is difficult to support the above solution.
  • an embodiment of the present invention provides a method for obtaining a reference signal. After the first communication device sends the first reference signal to the second communication device, it receives the compressed reference signal sent by the second communication device, and the compressed reference signal It is obtained by compressing and encoding the second reference signal, which is a reference signal received by the second communication device and corresponding to the first reference signal; the compressed reference signal is decoded and reconstructed to obtain the third reference signal.
  • the second communication device can send the compressed reference signal to the first communication device, so that the sending end can obtain the actual pilot signal received by the receiving end, In this way, channel information more matching with the actual pilot signal is obtained.
  • the second communication device since the second communication device is used as the receiving end device, in the embodiment of the present invention, it does not need to perform channel estimation, and has relatively low requirements for computing power. Therefore, when the receiving end device is a mobile phone, the computing power can be fully satisfied. Therefore, the implementation of this solution does not require high hardware requirements, and can be applied to more communication scenarios.
  • the involved communication device may be a receiver or a transmitter.
  • the receiver may be a terminal device or a network device;
  • the sender may also be a terminal device or a network device.
  • the terminal device can be a station (STAION, ST) in the WLAN, a cellular phone, a cordless phone, a Session Initiation Protocol (Session Initiation Protocol, SIP) phone, a wireless local loop (Wireless Local Loop, WLL) station, a personal digital processing (Personal Digital Assistant, PDA) devices, handheld devices with wireless communication functions, computing devices or other processing devices connected to wireless modems, vehicle-mounted devices, wearable devices, next-generation communication systems such as terminal devices in NR networks, or future Terminal equipment in the evolved public land mobile network (Public Land Mobile Network, PLMN) network, etc.
  • STAION, ST Session Initiation Protocol
  • SIP Session Initiation Protocol
  • WLL Wireless Local Loop
  • PDA Personal Digital Assistant
  • the terminal device may be a mobile phone (Mobile Phone), a tablet computer (Pad), a computer with a wireless transceiver function, a virtual reality (Virtual Reality, VR) terminal device, an augmented reality (Augmented Reality, AR) terminal Equipment, wireless terminal equipment in industrial control, wireless terminal equipment in self driving, wireless terminal equipment in remote medical, wireless terminal equipment in smart grid , wireless terminal equipment in transportation safety, wireless terminal equipment in smart city, or wireless terminal equipment in smart home.
  • a virtual reality (Virtual Reality, VR) terminal device an augmented reality (Augmented Reality, AR) terminal Equipment
  • wireless terminal equipment in industrial control wireless terminal equipment in self driving
  • wireless terminal equipment in remote medical wireless terminal equipment in smart grid
  • wireless terminal equipment in transportation safety wireless terminal equipment in smart city, or wireless terminal equipment in smart home.
  • Generalized wearable smart devices include full-featured, large-sized, complete or partial functions without relying on smart phones, such as smart watches or smart glasses, etc., and only focus on a certain type of application functions, and need to cooperate with other devices such as smart phones Use, such as various smart bracelets and smart jewelry for physical sign monitoring.
  • the network device can be a device for communicating with the mobile device, and the network device can be an access point (Access Point, AP) in WLAN, a base station (Base Transceiver Station, BTS) in GSM or CDMA , or a base station (NodeB, NB) in WCDMA, or an evolved base station (Evolutional Node B, eNB or eNodeB) in LTE, or a relay station or access point, or a vehicle-mounted device, a wearable device, and an NR network
  • the network equipment (gNB) in the network or the network equipment in the future evolved PLMN network or the network equipment in the NTN network, etc.
  • the network device may have a mobile feature, for example, the network device may be a mobile device.
  • the network equipment may be a satellite or a balloon station.
  • the satellite can be a low earth orbit (low earth orbit, LEO) satellite, a medium earth orbit (medium earth orbit, MEO) satellite, a geosynchronous earth orbit (geosynchronous earth orbit, GEO) satellite, a high elliptical orbit (High Elliptical Orbit, HEO) satellite. ) Satellite etc.
  • the network device may also be a base station installed on land, water, and other locations.
  • the network device may provide services for a cell, and the terminal device communicates with the network device through the transmission resources (for example, frequency domain resources, or spectrum resources) used by the cell, and the cell may be a network device ( For example, a cell corresponding to a base station), the cell may belong to a macro base station, or may belong to a base station corresponding to a small cell (Small cell), and the small cell here may include: a metro cell (Metro cell), a micro cell (Micro cell), a pico cell ( Pico cell), Femto cell, etc. These small cells have the characteristics of small coverage and low transmission power, and are suitable for providing high-speed data transmission services.
  • the transmission resources for example, frequency domain resources, or spectrum resources
  • the cell may be a network device (
  • the cell may belong to a macro base station, or may belong to a base station corresponding to a small cell (Small cell)
  • the small cell here may include: a metro cell (Metro cell), a micro cell (Micro
  • the technical solution of the embodiment of the present invention can be applied to various communication systems, such as: Global System of Mobile communication (Global System of Mobile communication, GSM) system, code division multiple access (Code Division Multiple Access, CDMA) system, broadband code division multiple access (Wideband Code Division Multiple Access, WCDMA) system, General Packet Radio Service (GPRS), Long Term Evolution (LTE) system, Advanced long term evolution (LTE-A) system , New Radio (NR) system, evolution system of NR system, LTE (LTE-based access to unlicensed spectrum, LTE-U) system on unlicensed spectrum, NR (NR-based access to unlicensed spectrum) on unlicensed spectrum unlicensed spectrum (NR-U) system, Non-Terrestrial Networks (NTN) system, Universal Mobile Telecommunications System (UMTS), Wireless Local Area Networks (WLAN), Wireless Fidelity (Wireless Fidelity, WiFi), fifth-generation communication (5th-Generation, 5G) system or other communication systems, etc.
  • GSM Global System of Mobile
  • D2D Device to Device
  • M2M Machine to Machine
  • MTC Machine Type Communication
  • V2V Vehicle to Vehicle
  • V2X Vehicle to everything
  • the communication system in the embodiment of the present invention may be applied to a carrier aggregation (Carrier Aggregation, CA) scenario, may also be applied to a dual connectivity (Dual Connectivity, DC) scenario, and may also be applied to an independent (Standalone, SA) network deployment scenario.
  • Carrier Aggregation, CA Carrier Aggregation
  • DC Dual Connectivity
  • SA independent network deployment scenario
  • the communication system in this embodiment of the present invention may be applied to an unlicensed spectrum, where the unlicensed spectrum may also be considered a shared spectrum; or, the communication system in this embodiment of the present invention may also be applied to a licensed spectrum, where, Licensed spectrum can also be considered as non-shared spectrum.
  • the embodiments of the present invention may be applied to a non-terrestrial communication network (Non-Terrestrial Networks, NTN) system, and may also be applied to a terrestrial communication network (Terrestrial Networks, TN) system.
  • NTN non-terrestrial communication network
  • TN terrestrial communication network
  • the "indication" mentioned in the embodiments of the present invention may be a direct indication, may also be an indirect indication, and may also mean that there is an association relationship.
  • a indicates B which can mean that A directly indicates B, for example, B can be obtained through A; it can also indicate that A indirectly indicates B, for example, A indicates C, and B can be obtained through C; it can also indicate that there is an association between A and B relation.
  • the term "corresponding" may indicate that there is a direct correspondence or an indirect correspondence between the two, or that there is an association between the two, or that it indicates and is indicated, or configures and is indicated. configuration etc.
  • the indication information in this embodiment of the present invention includes physical layer signaling such as downlink control information (Downlink Control Information, DCI), radio resource control (Radio Resource Control, RRC) signaling, and media access control unit (Media At least one of Access Control Control Element, MAC CE).
  • DCI Downlink Control Information
  • RRC Radio Resource Control
  • Media At least one of Access Control Control Element, MAC CE Media At least one of Access Control Control Element
  • the high-level parameters or high-level signaling in the embodiment of the present invention include at least one of radio resource control (Radio Resource Control, RRC) signaling and media access control element (Media Access Control Control Element, MAC CE) kind.
  • RRC Radio Resource Control
  • MAC CE Media Access Control Control Element
  • an embodiment of the present invention provides a method for obtaining a reference signal, the method including:
  • the first communications device sends a first reference signal to a second communications device.
  • the second communications device receives a second reference signal.
  • the second reference signal is a reference signal received by the second communication device and corresponding to the first reference signal.
  • the actual signal received by the second communication device is not consistent with the first reference signal sent by the sending end.
  • the signal actually received by the second communication device is called the second reference signal.
  • the first reference signal is a reference signal symbol sequence.
  • the first reference signal includes pilot symbols and data symbols, and may be a sequence composed of pilot symbols and data symbols (also called a pilot symbol sequence), or the first reference signal includes data symbols, and may be composed of A sequence of data symbols (also known as a sequence of data symbols).
  • the first reference signal is a sequence including data symbols, and at least one data symbol in the first reference signal is a pilot signal. That is, part of the data symbols (that is, at least one data symbol) in the first reference signal is used as the pilot symbol.
  • the first communication device may further send a pilot signal indication to the second communication device, where the pilot signal indication is used to indicate that the at least one data symbol is used as a pilot symbol.
  • the pilot signal indication may be an index of at least one data symbol.
  • the first communication device is a network device
  • the second communication device is a terminal device
  • the pilot signal indication may be carried in at least one of the following messages middle:
  • Radio resource control RRC signaling medium access control element MAC CE, downlink control information DCI.
  • the second communication device performs compression encoding processing on the second reference signal to obtain a compressed reference signal.
  • the second communication device may use a traditional compression method to perform compression processing on the second reference signal to obtain a compressed reference signal.
  • the first communication device may input the compressed reference signal into the reference signal compression model; and acquire the compressed reference signal output by the reference signal compression model.
  • the reference signal compression model may be a model obtained through pre-training.
  • the reference signals can be collected in advance as a training set, and the sample reference signals in the training set are input to the reference signal compression model to be trained to obtain the compressed reference signal corresponding to the sample channel information, and the decoded and repeated
  • the compressed reference signal is constructed to obtain the target reference signal, the loss function is determined according to the target reference signal and the sample reference signal, and the initial reference signal compression model is updated according to the loss function to obtain the trained reference signal compression model.
  • the second communications device sends the compressed reference signal to the first communications device.
  • the first communication device decodes and reconstructs the compressed reference signal to obtain a third reference signal.
  • decoding reconstruction is also generally referred to as decompression.
  • the decoding and reconstruction of the compressed reference signal by the first communication device may be decompressed in a traditional decompression manner to obtain the third reference signal.
  • the first communication device inputs the compressed reference signal into the reference signal decompression model; and acquires a third reference signal output by the pilot signal decompression model.
  • the first communications device performs channel estimation on the third reference signal to obtain first channel information.
  • performing channel estimation on the third reference signal to obtain the first channel information includes: inputting the third reference signal into a channel estimation model; and acquiring first channel information output by the channel estimation model.
  • the first communication device may perform eigenvalue decomposition on the first channel information to obtain an eigenvector. These eigenvectors can be used for subsequent precoding of modulation symbols.
  • the first communication device may be regarded as a sending end
  • the second communication device may be regarded as a receiving end.
  • FIG. 9 it is an overall signal process of a CSI feedback scheme for compressing pilot signals.
  • the process includes: the transmitting end first inserts a pilot symbol P on the allocated physical resource block, and downlinks the pilot symbol P to the receiving end. After receiving the pilot signal Y_p, the receiving end uses the neural network to compress and encode Y_p to generate a bit stream b, and feeds back to the sending end through the feedback link. The sending end uses the neural network to decode and reconstruct the pilot signal by using the received feedback bit stream to generate the restored pilot signal Y ⁇ _p. Further, the transmitting end estimates the downlink channel through channel estimation, and obtains the estimated channel H'. Finally, for the estimated channel H ⁇ , a precoding matrix is obtained through a signal processing process such as eigenvalue decomposition, which is used for a precoding operation for subsequent downlink transmission.
  • a precoding matrix is obtained through a signal processing process such as eigenvalue decomposition, which is used for a precoding operation for subsequent downlink transmission.
  • pilot signal compression and pilot signal decompression compression in the above solution can be realized through the existing AI-based pilot signal compression model and AI-based pilot signal decompression model.
  • the channel estimation can be realized directly by using a traditional channel estimation solution, or the channel estimation can be realized by using an AI-based channel estimation model.
  • the first communication device receives the compressed reference signal sent by the second communication device after sending the first reference signal to the second communication device, and compressing the reference signal is to compress the second reference signal
  • the second reference signal obtained later is a reference signal received by the second communication device and corresponding to the first reference signal; the compressed reference signal is decoded and reconstructed to obtain a third reference signal.
  • the second communication device since the second communication device is used as the receiving end device, in the embodiment of the present invention, it does not need to perform channel estimation and has relatively low requirements for computing power. Therefore, when the second communication device is a mobile phone, it can fully satisfy the calculation Therefore, the implementation of this solution does not require high hardware requirements, and can be applied to more communication scenarios.
  • the present invention mainly aims at CSI feedback, which is the functional requirement of the communication system, and considers that after the pilot signal is received at the receiving end, the pilot signal is directly compressed and fed back, and channel estimation is performed at the sending end to obtain channel information.
  • the received pilot signal is compressed and fed back at the receiving end, and the channel estimation is performed at the sending end, so the receiving end does not need to know the pilot sequence. Since both the pilot and the data are known at the transmitting end, it may be considered to design and insert the pilot more flexibly. Since this scheme considers channel estimation at the sending end, that is, the pilot sequence information does not need to be known at the receiving end, the following design points for inserting the pilot module can be considered, including: neural network-based pilot design scheme and data-based wireless pilot scheme.
  • the method provided by the embodiment of the present invention further includes: the first communication device may input the first channel information into the first pilot design model; and obtain the first pilot output from the first pilot design model. frequency signal; the first communication device sends the first pilot signal to the second communication device.
  • the first communication device may use the sample channel information in the training set to train an initial pilot design model to obtain the first pilot design model.
  • the training set includes a plurality of sample channel information.
  • the above-mentioned training process of using the sample channel information in the training set to train the initial pilot design model includes:
  • Step 1 Input the sample channel information in the training set into the initial pilot design model to obtain the second pilot signal corresponding to the sample channel information, the second pilot signal is a sequence including pilot symbols and data symbols;
  • Step 2 Process the second pilot signal according to the sample channel information and noise to obtain the third pilot signal
  • Step 3 Perform channel estimation on the third pilot signal to obtain target channel information
  • Step 4 Determine the loss function according to the target channel information and the sample channel information
  • the noise may be to simulate noise in a channel between the actual sending end and the receiving end.
  • a plurality of sample channel information in the training set can be input to the initial pilot design model one by one, and the above-mentioned training process of using the sample channel information in the training set to train the initial pilot design model is repeated to complete the initial pilot design model. training to obtain the above-mentioned first pilot design model.
  • FIG. 10 it is a schematic diagram of a training phase of a pilot design model.
  • the pilot design model is an AI-based pilot design module.
  • the input of the pilot design module is the channel information estimated last time, and the output is the pilot sequence.
  • the channel H in the pre-collected training set is first sent to the pilot design module, and the output pilot sequence P is input into the AI-based channel estimation module (that is, the channel estimation model) after passing through the channel and random noise, and finally the estimated
  • the final channel information H ⁇ and according to the comparison between H ⁇ and H, the loss function is obtained, and the loss function is used to update the AI-based pilot reference model.
  • the trained based AI's pilot design module After using the framework for end-to-end training, the trained based AI's pilot design module.
  • FIG. 11 it is a schematic diagram of an application phase of a pilot design model.
  • the input of the AI-based pilot design module is the channel H ⁇ estimated last time by the sending end, and the pilot sequence P is obtained after using this module for pilot reference.
  • the transmitted data symbols can be used as pilot sequences for corresponding channel estimation, so that the time-frequency resource blocks can be There is no need to insert pilot symbols.
  • the first reference signal is a data symbol sequence, and at least one data symbol in the first reference signal is a pilot signal.
  • pilot overhead can be reduced.
  • an embodiment of the present invention provides a first communication device, and the first communication device includes:
  • the receiving module 1201 is configured to receive the compressed reference signal sent by the second communication device after sending the first reference signal to the second communication device, the compressed reference signal is obtained by compressing and encoding the second reference signal, and the second reference signal is a reference signal corresponding to the first reference signal received by the second communication device;
  • processing module 1202 is specifically used for:
  • a third reference signal output by the pilot signal decompression model is acquired.
  • processing module 1202 is also used for:
  • processing module 1202 is also used for:
  • processing module 1202 is also used for:
  • a sending module 1203, configured to send the first pilot signal to the second communication device.
  • processing module 1202 is also used for:
  • the initial pilot design model is trained by using the sample channel information in the training set to obtain a first pilot design model.
  • processing module 1202 is specifically used for:
  • the first pilot design model is obtained according to the updated initial pilot design model.
  • the first reference signal includes pilot symbols and data symbols, or, the first reference signal includes data symbols.
  • the first reference signal includes data symbols, and at least one data symbol in the first reference signal is used as a pilot symbol.
  • the sending module 1203 is configured to send a pilot signal indication to the second communication device, where the pilot signal indication is used to indicate at least one data symbol as a pilot symbol.
  • the first communication device is a network device
  • the pilot signal indication is carried in at least one of the following messages:
  • Radio resource control RRC signaling medium access control element MAC CE, downlink control information DCI.
  • the embodiment of the present invention also provides a second communication device, the second communication device includes:
  • a receiving module 1301, configured to receive a second reference signal, where the second reference signal corresponds to the first reference signal sent by the first communication device;
  • the receiving module 1301 is further configured to receive a pilot signal indication sent by the first communication device, where the pilot signal indication is used to indicate at least one data symbol as a pilot symbol.
  • the first communication device is a network device
  • the pilot signal indication is carried in at least one of the following messages:
  • an embodiment of the present invention also provides a schematic diagram of a hardware structure of a communication device.
  • the communication device may include: a radio frequency (radio frequency, RF) circuit 1410, a memory 1420, a processor 1430 and other components.
  • the radio frequency circuit 1410 includes a receiver 1411 and a transmitter 1412 .
  • RF radio frequency
  • the RF circuit 1410 can be used for sending and receiving information or receiving and sending signals during a call. In particular, after receiving the downlink information from the base station, it is processed by the processor 1430; in addition, the designed uplink data is sent to the base station.
  • the RF circuit 1410 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier (low noise amplifier, LNA), a duplexer, and the like.
  • RF circuitry 1410 may also communicate with networks and other devices via wireless communications.
  • the above wireless communication can use any communication standard or protocol, including but not limited to global system of mobile communication (global system of mobile communication, GSM), general packet radio service (general packet radio service, GPRS), code division multiple access (code division multiple access) multiple access (CDMA), wideband code division multiple access (WCDMA), long term evolution (LTE), e-mail, short message service (short messaging service, SMS), etc.
  • GSM global system of mobile communication
  • GPRS general packet radio service
  • code division multiple access code division multiple access
  • WCDMA wideband code division multiple access
  • LTE long term evolution
  • e-mail short message service
  • SMS short message service
  • the memory 1420 can be used to store software programs and modules, and the processor 1430 executes various functional applications and data processing of the communication device by running the software programs and modules stored in the memory 1420 .
  • Memory 1420 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, at least one application program required by a function (such as a sound playback function, an image playback function, etc.); Data created by the use of communication devices (such as audio data, phonebook, etc.), etc.
  • the memory 1420 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage devices.
  • the processor 1430 is the control center, and uses various interfaces and lines to connect various parts of the entire communication device. By running or executing software programs and/or modules stored in the memory 1420, and calling data stored in the memory 1420, execution Various functions and processing data of communication equipment, so as to monitor the communication equipment as a whole.
  • the processor 1430 may include one or more processing units; preferably, the processor 1430 may integrate an application processor and a modem processor, wherein the application processor mainly processes operating systems, user interfaces, and application programs, etc. , the modem processor mainly handles wireless communications. It can be understood that, the foregoing modem processor may not be integrated into the processor 1430 .
  • the receiver 1411 in the radio frequency circuit 1410 is used to send the first reference to the second communication device at the transmitter 1412 After receiving the compressed reference signal sent by the second communication device, the compressed reference signal is obtained by compressing and encoding the second reference signal, and the second reference signal is a reference signal corresponding to the first reference signal received by the second communication device ;
  • the processor 1430 is configured to decode and reconstruct the compressed reference signal to obtain a third reference signal.
  • processor 1430 is specifically used for:
  • a third reference signal output by the pilot signal decompression model is acquired.
  • processor 1430 is also used for:
  • the processor 1430 is specifically configured to: input the third reference signal into the channel estimation model;
  • processor 1430 is also used for:
  • processor 1430 is also used for:
  • the transmitter 1412 is further configured to send the first pilot signal to the second communication device.
  • processor 1430 is also used for:
  • the initial pilot design model is trained by using the sample channel information in the training set to obtain a first pilot design model.
  • the processor 1430 is specifically configured to: input the sample channel information in the training set to the initial pilot design model, so as to obtain the pilot symbol sequence corresponding to the sample channel information;
  • the first pilot design model is obtained according to the updated initial pilot design model.
  • the first reference signal includes pilot symbols and data symbols, or, the first reference signal includes data symbols.
  • the first reference signal includes data symbols, and at least one data symbol in the first reference signal is a pilot signal.
  • the transmitter 1412 is configured to send a pilot signal indication to the second communication device, where the pilot signal indication is used to indicate at least one data symbol.
  • the first communication device is a network device
  • the pilot signal indication is carried in at least one of the following messages:
  • Radio resource control RRC signaling medium access control element MAC CE, downlink control information DCI.
  • the communication device shown in FIG. 14 is the second communication device, then in the embodiment of the present invention, the receiver 1411 in the radio frequency circuit 1410 is used to receive the second reference signal, and the second reference signal is the same as the first Corresponding to the first reference signal sent by the communication device;
  • the processor 1430 is configured to perform compression coding processing on the second reference signal to obtain a compressed reference signal
  • the transmitter 1412 is configured to send the compressed reference signal to the first communication device.
  • the first reference signal includes data symbols, and at least one data symbol in the first reference signal is a pilot signal.
  • the first communication device is a network device
  • the pilot signal indication is carried in at least one of the following messages:
  • Radio resource control RRC signaling medium access control element MAC CE, downlink control information DCI.
  • An embodiment of the present invention also provides a computer-readable storage medium, including: computer instructions, which, when run on a processor, cause the processor to execute various processes of the communication device in the foregoing method embodiments.
  • An embodiment of the present invention also provides a computer program product, including computer instructions.
  • the computer program product runs on a processor, the computer instructions are run to implement various processes of the communication device in the above method embodiments.
  • a computer program product includes one or more computer instructions.
  • Computer instructions may be stored in or transmitted from one computer-readable storage medium to another computer-readable storage medium, e.g. Coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.) to another website site, computer, server or data center.
  • DSL digital subscriber line
  • the computer-readable storage medium may be any available medium that can be stored by a computer, or a data storage device such as a server, a data center, etc. integrated with one or more available media.
  • Available media may be magnetic media (eg, floppy disk, hard disk, magnetic tape), optical media (eg, DVD), or semiconductor media (eg, Solid State Disk (SSD)).

Landscapes

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

Abstract

Des modes de réalisation de la présente invention s'appliquent au domaine technique des communications, et concernent un procédé d'obtention d'un signal de référence, un dispositif terminal et un dispositif de réseau. Les modes de réalisation de la présente invention consistent à : après avoir envoyé un premier signal de référence à un second dispositif de communication, recevoir un signal de référence compressé envoyé par le second dispositif de communication, le signal de référence compressé étant obtenu par compression et codage d'un deuxième signal de référence, le deuxième signal de référence étant un signal de référence correspondant au premier signal de référence reçu par le second dispositif de communication ; et décoder et reconstruire le signal de référence compressé pour obtenir un troisième signal de référence.
PCT/CN2021/108570 2021-07-27 2021-07-27 Procédé d'obtention de signal de référence et dispositifs de communication Ceased WO2023004563A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN202180095958.1A CN117044145A (zh) 2021-07-27 2021-07-27 获取参考信号的方法及通信设备
PCT/CN2021/108570 WO2023004563A1 (fr) 2021-07-27 2021-07-27 Procédé d'obtention de signal de référence et dispositifs de communication

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2021/108570 WO2023004563A1 (fr) 2021-07-27 2021-07-27 Procédé d'obtention de signal de référence et dispositifs de communication

Publications (1)

Publication Number Publication Date
WO2023004563A1 true WO2023004563A1 (fr) 2023-02-02

Family

ID=85086206

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2021/108570 Ceased WO2023004563A1 (fr) 2021-07-27 2021-07-27 Procédé d'obtention de signal de référence et dispositifs de communication

Country Status (2)

Country Link
CN (1) CN117044145A (fr)
WO (1) WO2023004563A1 (fr)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101540633A (zh) * 2008-03-21 2009-09-23 大唐移动通信设备有限公司 一种下行传输的方法、系统及基站
US20130265900A1 (en) * 2012-04-10 2013-10-10 Rambus Inc. Antenna selection and pilot compression in mimo systems
CN108242943A (zh) * 2016-12-23 2018-07-03 上海诺基亚贝尔股份有限公司 通信中用于预编码的方法和设备
CN109560841A (zh) * 2018-12-13 2019-04-02 东北大学 基于改进的分布式压缩感知算法的大规模mimo系统信道估计方法

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101540633A (zh) * 2008-03-21 2009-09-23 大唐移动通信设备有限公司 一种下行传输的方法、系统及基站
US20130265900A1 (en) * 2012-04-10 2013-10-10 Rambus Inc. Antenna selection and pilot compression in mimo systems
CN108242943A (zh) * 2016-12-23 2018-07-03 上海诺基亚贝尔股份有限公司 通信中用于预编码的方法和设备
CN109560841A (zh) * 2018-12-13 2019-04-02 东北大学 基于改进的分布式压缩感知算法的大规模mimo系统信道估计方法

Also Published As

Publication number Publication date
CN117044145A (zh) 2023-11-10

Similar Documents

Publication Publication Date Title
US20240259072A1 (en) Model processing method, electronic device, network device, and terminal device
US11956031B2 (en) Communication of measurement results in coordinated multipoint
CN116569527B (zh) 信道信息反馈的方法、发送端设备和接收端设备
CN117322044A (zh) 无线通信的方法和设备
US20240178898A1 (en) Method for transmitting compressed codebook, and method for obtaining channel state information matrix
US20250125854A1 (en) Channel state information (csi) feedback method, terminal device and network device
WO2024008004A1 (fr) Procédé et appareil de communication
CN118118133A (zh) 一种通信方法及装置
US20240072927A1 (en) Signal processing method, communication device, and communication system
WO2022236785A1 (fr) Procédé de rétroaction d'informations de canal, dispositif d'extrémité de réception et dispositif d'extrémité de transmission
WO2023004563A1 (fr) Procédé d'obtention de signal de référence et dispositifs de communication
WO2023125240A1 (fr) Procédé et appareil de traitement ou de traitement inverse de données de canal, terminal et dispositif de réseau
WO2023283785A1 (fr) Procédé de traitement de signal, et récepteur
US20250240075A1 (en) Channel information feedback method, transmitting end device, and receiving end device
CN117203898A (zh) 信道信息反馈的方法、发端设备和收端设备
EP4645933A1 (fr) Procédés de communication sans fil et dispositifs de communication
WO2024243879A1 (fr) Procédé de communication sans fil, équipement terminal et dispositif de réseau
CN120474649A (zh) 通信的方法和通信装置
WO2025166574A1 (fr) Procédé de traitement d'informations et dispositif
WO2022217556A1 (fr) Procédé d'amélioration de données, récepteur et support de stockage
WO2025078889A1 (fr) Compression de signal pilote de liaison descendante
WO2025147958A1 (fr) Procédés de rétroaction de csi, dispositifs terminaux et dispositifs de réseau
WO2024250303A1 (fr) Procédé et dispositif de communication
CN117639867A (zh) 一种通信方法及装置
CN120835314A (zh) 一种通信方法及装置

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 21951180

Country of ref document: EP

Kind code of ref document: A1

WWE Wipo information: entry into national phase

Ref document number: 202180095958.1

Country of ref document: CN

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 21951180

Country of ref document: EP

Kind code of ref document: A1