WO2024027400A1 - 一种信道状态信息的确定方法及相关装置 - Google Patents

一种信道状态信息的确定方法及相关装置 Download PDF

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Publication number
WO2024027400A1
WO2024027400A1 PCT/CN2023/103739 CN2023103739W WO2024027400A1 WO 2024027400 A1 WO2024027400 A1 WO 2024027400A1 CN 2023103739 W CN2023103739 W CN 2023103739W WO 2024027400 A1 WO2024027400 A1 WO 2024027400A1
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Prior art keywords
information
channel
delay
domain
reference signal
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PCT/CN2023/103739
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English (en)
French (fr)
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叶宸成
袁一凌
金黄平
韩玮
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华为技术有限公司
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Publication of WO2024027400A1 publication Critical patent/WO2024027400A1/zh

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/0202—Channel estimation
    • H04L25/0224—Channel estimation using sounding signals
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity 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
    • H04B7/0615—Diversity 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
    • H04B7/0619—Diversity 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
    • H04B7/0621—Feedback content
    • H04B7/0626—Channel coefficients, e.g. channel state information [CSI]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/0202—Channel estimation
    • H04L25/024—Channel estimation channel estimation algorithms
    • H04L25/0242—Channel estimation channel estimation algorithms using matrix methods
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports

Definitions

  • the present application relates to the field of communication technology, and in particular, to a method for determining channel state information and related devices.
  • MIMO massive multiple input multiple output
  • the uplink channel and the downlink channel are reciprocal, and the network equipment can obtain the uplink channel estimation result through the uplink sounding reference signal (SRS) channel estimation, and The result of the uplink channel estimation is determined as the result of the downlink channel estimation, and then modulation coding and signal precoding are performed.
  • SRS uplink sounding reference signal
  • This application provides a method for determining channel state information and related devices, which can improve the accuracy and accuracy of channel estimation.
  • this application provides a method for determining channel state information.
  • the method is applied to access network equipment.
  • the method includes:
  • Channel state information is determined according to the first measurement information and the second reference signal.
  • the first reference signal may be CSI-RS
  • the second reference signal may be SRS
  • the access network equipment is based on TDD uplink and downlink reciprocity, and the first measurement information fed back by the terminal equipment is used to assist SRS estimation, which can solve the problem of low accuracy of uplink channel estimation under low SRS signal-to-noise ratio.
  • the accuracy and precision of downlink channel estimation are also low, so the accuracy and precision of channel estimation can be improved.
  • the terminal device can also send the first measurement information to the access network device in a triggering manner. That is to say, the access network device can send the first indication information to the terminal device.
  • the first indication information is used to instruct the terminal.
  • the device reports measurement information, or the first instruction information is used to instruct the terminal device to periodically report measurement information.
  • the terminal device receives the first indication information from the access network device, and then sends the first measurement information to the access network device in response to the first indication information.
  • the first measurement information includes at least one of first information and second information, the first information is used to indicate the channel delay domain information, and the second information is used to indicate the air domain of the channel.
  • the channel delay domain information includes first channel delay domain sparsity information
  • the spatial statistical information of the channel includes a first spatial statistical covariance matrix of the channel.
  • the first channel delay domain sparsity information includes a first bit map, the first bit map is used to indicate the position of the delay path, and the length of the first bit map is the number of resource blocks RB. ;
  • the spatial statistical information of the channel includes the first spatial statistical covariance matrix of the channel, including:
  • the spatial statistical information of the channel includes a first spatial statistical covariance matrix of each delay path of the channel.
  • the terminal device can feed back the first airspace statistical covariance matrix of each delay path of the channel to the access network device, which is beneficial to improving the accuracy and accuracy of channel estimation.
  • the method also includes:
  • the third information is used to divide the first type of delay path and the second type of delay path in the channel delay domain.
  • the energy of each delay path in the first type of delay path is is greater than the energy of each delay path in the second type of delay path.
  • the access network device may carry the third information in the above-mentioned first indication information and send it to the terminal device.
  • the first type of delay path can be understood as a strong delay path
  • the second type of delay path can be understood as a weak delay path.
  • the first channel delay domain sparsity information includes a second bitmap, the second bitmap is used to indicate the second type of delay The position of the path, the length of the second bitmap is the number of resource blocks RB;
  • the spatial statistical information of the channel includes the first spatial statistical covariance matrix of the channel, including:
  • the spatial statistical information of the channel includes a first spatial statistical covariance matrix of the second type delay path of the channel.
  • the terminal device only feeds back the first spatial statistical covariance matrix of the second type of delay path (i.e., the first spatial statistical covariance matrix of the weak delay path), so that the terminal device can feed back the overhead through lower Improve the accuracy and precision of the uplink channel estimation, thereby improving the accuracy and precision of the downlink channel estimation determined based on the uplink channel estimation.
  • the first spatial statistical covariance matrix of the second type of delay path i.e., the first spatial statistical covariance matrix of the weak delay path
  • the second information is used to indicate the eigenvalues and eigenvector matrices corresponding to the first spatial domain statistical covariance matrix of each delay path of the channel or the second type of delay path.
  • the terminal device feeds back the first airspace statistical covariance matrix of each delay path to the access network device through a quantitative feedback method (such as feedback eigenvalues and eigenvector matrices), which can save feedback overhead.
  • a quantitative feedback method such as feedback eigenvalues and eigenvector matrices
  • the second information is used to indicate a base combination coefficient matrix corresponding to the first spatial domain statistical covariance matrix of each delay path of the channel or the second type of delay path.
  • the terminal equipment feeds back the first airspace statistical covariance matrix of each delay path to the access network equipment through a quantized feedback method (such as feedback basis combination coefficient matrix), which can save feedback overhead.
  • a quantized feedback method such as feedback basis combination coefficient matrix
  • the first reference signal includes a channel state information reference signal CSI-RS
  • the second reference signal includes a sounding reference signal SRS.
  • the first measurement information includes the first channel delay domain sparsity information and the first spatial domain statistical covariance matrix of the channel;
  • the method also includes:
  • the second delay domain channel information is obtained based on the first channel delay domain sparsity information and the first delay domain channel information;
  • Channel state information is determined according to the first spatial domain statistical covariance matrix of the channel and the second delay domain channel information.
  • the channel delay domain sparsity information and air domain statistical covariance matrix used for uplink channel estimation are both generated by the access network device based on the third signal from the terminal device. It is estimated from two reference signals (such as SRS signals). Since the transmission power of the second reference signal sent by the terminal equipment is lower than the transmission power of the first reference signal sent by the access network equipment, the access network equipment is made to use the second reference signal based on the second reference signal. The accuracy of the channel delay domain sparsity information and spatial domain statistical covariance matrix estimated by the second reference signal is not as accurate as the channel delay domain sparsity information and spatial domain statistical covariance matrix estimated by the terminal equipment based on the first reference signal. Therefore, , the accuracy and accuracy of channel estimation can be improved by using a method in which the terminal equipment reports the first channel delay domain sparsity information and the first spatial domain statistical covariance matrix.
  • the first measurement information includes the first channel delay domain sparsity information
  • the method also includes:
  • the second delay domain channel information is obtained based on the first channel delay domain sparsity information and the first delay domain channel information;
  • Channel state information is determined according to the second spatial domain statistical covariance matrix and the second delay domain channel information.
  • the channel delay domain sparsity information and air domain statistical covariance matrix used for uplink channel estimation are both determined by the access network device based on the third signal from the terminal device. It is estimated from two reference signals (such as SRS signals). Since the transmission power of the second reference signal sent by the terminal equipment is lower than the transmission power of the first reference signal sent by the access network equipment, the access network equipment is made to use the second reference signal based on the second reference signal.
  • the accuracy of the channel delay domain sparsity information and spatial domain statistical covariance matrix estimated by the second reference signal is not as accurate as the channel delay domain sparsity information and spatial domain statistical covariance matrix estimated by the terminal device based on the first reference signal. Therefore, , the accuracy and accuracy of channel estimation can be improved to a certain extent by using the terminal device to report the sparsity information of the first channel delay domain.
  • the first measurement information includes a first spatial statistical covariance matrix of the channel
  • the method also includes:
  • the second delay domain channel information is based on the second channel delay domain sparsity information and the first delay Domain channel information is obtained;
  • Channel state information is determined according to the first spatial domain statistical covariance matrix of the channel and the second delay domain channel information.
  • the channel delay domain sparsity information and air domain statistical covariance matrix used for uplink channel estimation are both generated by the access network device based on the third signal from the terminal device. It is estimated from two reference signals (such as SRS signals). Since the transmission power of the second reference signal sent by the terminal equipment is lower than the transmission power of the first reference signal sent by the access network equipment, the access network equipment is made to use the second reference signal based on the second reference signal. The accuracy of the channel delay domain sparsity information and spatial domain statistical covariance matrix estimated by the second reference signal is not as accurate as the channel delay domain sparsity information and spatial domain statistical covariance matrix estimated by the terminal equipment based on the first reference signal. Therefore, , the accuracy and accuracy of channel estimation can be improved to a certain extent by using the method of reporting the first airspace statistical covariance matrix by the terminal equipment.
  • the first channel delay domain sparsity information is channel delay domain sparsity information at RB level granularity
  • the determination of the second delay domain channel information also includes:
  • the second delay domain channel information is determined according to the RE-level granularity channel delay domain sparsity information and the first delay domain channel information.
  • this application provides a method for determining channel state information.
  • the method is applied to terminal equipment.
  • the method includes:
  • the second reference signal is sent to the access network device; wherein the first measurement information and the second reference signal are used to determine channel state information.
  • the first measurement information includes at least one of first information and second information, the first information is used to indicate the channel delay domain information, and the second information is used to indicate the air domain of the channel.
  • the channel delay domain information includes first channel delay domain sparsity information
  • the spatial statistical information of the channel includes a first spatial statistical covariance matrix of the channel.
  • the first channel delay domain sparsity information includes a first bit map, the first bit map is used to indicate the position of the delay path, and the length of the first bit map is the number of RBs;
  • the spatial statistical information of the channel includes the first spatial statistical covariance matrix of the channel, including:
  • the spatial statistical information of the channel includes a first spatial statistical covariance matrix of each delay path of the channel.
  • the method also includes:
  • the third information is used to divide the first type of delay path and the second type of delay path in the channel delay domain.
  • Each delay in the first type of delay path is The energy of the path is greater than the energy of each delay path in the second type of delay path;
  • the spatial statistical information of the channel includes the first spatial statistical covariance matrix of the channel, including:
  • the spatial statistical information of the channel includes a first spatial statistical covariance matrix of the second type delay path of the channel.
  • the first channel delay domain sparsity information includes a second bitmap, the second bitmap is used to indicate the location of the second type of delay path, and the length of the second bitmap is Number of resource blocks RB;
  • the spatial statistical information of the channel includes the first spatial statistical covariance matrix of the channel, including:
  • the spatial statistical information of the channel includes a first spatial statistical covariance matrix of the second type delay path of the channel.
  • the second information is used to indicate the eigenvalues and eigenvector matrices corresponding to the first spatial domain statistical covariance matrix of each delay path of the channel or the second type of delay path.
  • the second information is used to indicate a base combination coefficient matrix corresponding to the first spatial domain statistical covariance matrix of each delay path of the channel or the second type of delay path.
  • the first reference signal includes a channel state information reference signal CSI-RS
  • the second reference signal includes a sounding reference signal SRS.
  • this application provides a communication device, which is access network equipment.
  • the device includes:
  • a transceiver unit used to send the first reference signal to the terminal device
  • the transceiver unit is also configured to receive first measurement information from the terminal device, where the first measurement information is determined based on the first reference signal;
  • the transceiver unit is also used to receive the second reference signal from the terminal device.
  • a processing unit configured to determine channel state information according to the first measurement information and the second reference signal.
  • the first measurement information includes at least one of first information and second information, the first information is used to indicate the channel delay domain information, and the second information is used to indicate the air domain of the channel.
  • the channel delay domain information includes first channel delay domain sparsity information
  • the spatial statistical information of the channel includes a first spatial statistical covariance matrix of the channel.
  • the first channel delay domain sparsity information includes a first bit map, the first bit map is used to indicate the position of the delay path, and the length of the first bit map is the number of RBs;
  • the spatial statistical information of the channel includes the first spatial statistical covariance matrix of the channel, including:
  • the spatial statistical information of the channel includes a first spatial statistical covariance matrix of each delay path of the channel.
  • the transceiver unit is also used to:
  • the third information is used to divide the first type of delay path and the second type of delay path in the channel delay domain.
  • the energy of each delay path in the first type of delay path is is greater than the energy of each delay path in the second type of delay path.
  • the first channel delay domain sparsity information includes a second bitmap, the second bitmap is used to indicate the location of the second type of delay path, and the length of the second bitmap is Number of resource blocks RB;
  • the spatial statistical information of the channel includes the first spatial statistical covariance matrix of the channel, including:
  • the spatial statistical information of the channel includes a first spatial statistical covariance matrix of the second type delay path of the channel.
  • the second information is used to indicate the eigenvalues and eigenvector matrices corresponding to the first spatial domain statistical covariance matrix of each delay path of the channel or the second type of delay path.
  • the second information is used to indicate a base combination coefficient matrix corresponding to the first spatial domain statistical covariance matrix of each delay path of the channel or the second type of delay path.
  • the first reference signal includes a channel state information reference signal CSI-RS
  • the second reference signal includes a sounding reference signal SRS.
  • the first measurement information includes the first channel delay domain sparsity information and the first spatial domain statistical covariance matrix of the channel;
  • the processing unit is also configured to determine the first delay domain channel information according to the second reference signal
  • the processing unit is also used to determine second delay domain channel information.
  • the second delay domain channel information is obtained based on the first channel delay domain sparsity information and the first delay domain channel information;
  • the processing unit is also configured to determine channel state information based on the first spatial domain statistical covariance matrix of the channel and the second delay domain channel information.
  • the first measurement information includes the first channel delay domain sparsity information
  • the processing unit is also configured to determine the first delay domain channel information according to the second reference signal
  • the processing unit is also used to determine second delay domain channel information.
  • the second delay domain channel information is obtained based on the first channel delay domain sparsity information and the first delay domain channel information;
  • the processing unit is also used to determine a second spatial statistical covariance matrix, which is obtained according to the second reference signal;
  • the processing unit is also configured to determine channel state information based on the second spatial domain statistical covariance matrix and the second delay domain channel information.
  • the first measurement information includes a first spatial statistical covariance matrix of the channel
  • the processing unit is also configured to determine the first delay domain channel information according to the second reference signal
  • the processing unit is also used to determine the sparsity information of the second channel delay domain, and the sparsity information of the second channel delay domain is obtained based on the second reference signal;
  • the processing unit is also used to determine second delay domain channel information.
  • the second delay domain channel information is obtained based on the second channel delay domain sparsity information and the first delay domain channel information;
  • the processing unit is also configured to determine channel state information based on the first spatial domain statistical covariance matrix of the channel and the second delay domain channel information.
  • the first channel delay domain sparsity information is channel delay domain sparsity information at RB level granularity
  • This processing unit is also used for:
  • the second delay domain channel information is determined according to the RE-level granularity channel delay domain sparsity information and the first delay domain channel information.
  • this application provides a communication device, which is a terminal device, and the device includes:
  • a transceiver unit configured to receive the first reference signal from the access network device
  • a processing unit configured to determine first measurement information according to the first reference signal
  • the transceiver unit is also used to send the first measurement information to the access network device;
  • the transceiver unit is also configured to send the second reference signal to the access network device; wherein the first measurement information and the second reference signal are used to determine channel state information.
  • the first measurement information includes at least one of first information and second information, the first information is used to indicate the channel delay domain information, and the second information is used to indicate the air domain of the channel.
  • the channel delay domain information includes first channel delay domain sparsity information
  • the spatial statistical information of the channel includes a first spatial statistical covariance matrix of the channel.
  • the first channel delay domain sparsity information includes a first bit map, the first bit map is used to indicate the position of the delay path, and the length of the first bit map is the number of RBs;
  • the spatial statistical information of the channel includes the first spatial statistical covariance matrix of the channel, including:
  • the spatial statistical information of the channel includes a first spatial statistical covariance matrix of each delay path of the channel.
  • the transceiver unit is also used to:
  • the third information is used to divide the first type of delay path and the second type of delay path in the channel delay domain.
  • Each delay in the first type of delay path is The energy of the path is greater than the energy of each delay path in the second type of delay path.
  • the first channel delay domain sparsity information includes a second bitmap, the second bitmap is used to indicate the location of the second type of delay path, and the length of the second bitmap is Number of resource blocks RB;
  • the spatial statistical information of the channel includes the first spatial statistical covariance matrix of the channel, including:
  • the spatial statistical information of the channel includes a first spatial statistical covariance matrix of the second type delay path of the channel.
  • the second information is used to indicate the eigenvalues and eigenvector matrices corresponding to the first spatial domain statistical covariance matrix of each delay path of the channel or the second type of delay path.
  • the second information is used to indicate a base combination coefficient matrix corresponding to the first spatial domain statistical covariance matrix of each delay path of the channel or the second type of delay path.
  • the first reference signal includes a channel state information reference signal CSI-RS
  • the second reference signal includes a sounding reference signal SRS.
  • the present application provides a communication device.
  • the communication device includes a processor, and the processor is configured to implement any one of the methods in the first aspect through logic circuits or execution of instructions.
  • the device further includes a transceiver for sending and receiving signals.
  • the processor is coupled to a memory, and the memory stores the above instructions.
  • the device further includes a memory for storing the above instructions.
  • the memory and the processor are integrated together; alternatively, the memory and the processor are provided separately.
  • the present application provides a communication device.
  • the communication device includes a processor, and the processor is configured to implement the method in any one of the second aspects through logic circuits or execution of instructions.
  • the device further includes a transceiver for sending and receiving signals.
  • the processor is coupled to a memory, and the memory stores the above instructions.
  • the device further includes a memory for storing the above instructions.
  • the memory and the processor are integrated together; alternatively, the memory and the processor are provided separately.
  • the present application provides a computer-readable storage medium.
  • Computer programs or instructions are stored in the storage medium.
  • any one of the first to second aspects is implemented. method.
  • the present application provides a computer program product including instructions.
  • the computer program product includes a computer program or instructions.
  • any one of the first to second aspects can be implemented. item method.
  • a ninth aspect provides a communication system, which includes the access network device described in the third aspect and the terminal device described in the fourth aspect.
  • Figure 1 is a schematic structural diagram of a communication system provided by an embodiment of the present application.
  • Figure 2 is a schematic flowchart of obtaining downlink channel CSI based on SRS provided by an embodiment of the present application
  • Figure 3 is a schematic flowchart of obtaining downlink channel CSI based on UE feedback provided by an embodiment of the present application
  • Figure 4 is an interactive schematic diagram of a method for determining channel state information provided by an embodiment of the present application
  • Figure 5 is a schematic structural diagram of a communication device provided by an embodiment of the present application.
  • Figure 6 is a schematic structural diagram of another communication device provided by an embodiment of the present application.
  • Figure 7 is a schematic structural diagram of another communication device provided by an embodiment of the present application.
  • Figure 8 is a schematic structural diagram of another communication device provided by an embodiment of the present application.
  • LTE long term evolution
  • FDD frequency division duplex
  • TDD time division duplex
  • NR new radio
  • 5th generation, 5G fifth generation
  • 6th generation, 6G sixth generation
  • WALN Wireless Local Area Network
  • Figure 1 is a schematic structural diagram of a communication system provided by an embodiment of the present application.
  • access network equipment and terminal equipment 1 to 6 form a communication system.
  • terminal equipment 1 to terminal equipment 6 can send uplink information to the access network equipment, and the access network equipment can also send downlink information to terminal equipment 1 to terminal equipment 6.
  • the terminal devices 4 to 6 may also form a communication system.
  • the access network device can send downlink information to terminal device 1, terminal device 2, terminal device 3, terminal device 5, etc.; terminal device 5 can also send downlink information to terminal device 4 and terminal device 6.
  • the terminal equipment 4 and the terminal equipment 6 can also send uplink information to the access network equipment through the terminal equipment 5.
  • the terminal device in the embodiment of the present application may be a device with wireless transceiver function, which may specifically refer to user equipment (UE), access terminal, subscriber unit (subscriber unit), user station, or mobile station. (mobile station), customer-premises equipment (CPE), remote station, remote terminal, mobile device, user terminal, wireless communication equipment, user agent or user device.
  • UE user equipment
  • access terminal subscriber unit (subscriber unit)
  • subscriber unit subscriber unit
  • user station or mobile station.
  • CPE customer-premises equipment
  • remote station remote terminal, mobile device, user terminal, wireless communication equipment, user agent or user device.
  • the terminal device may also be a satellite phone, a cellular phone, a smartphone, a wireless data card, a wireless modem, a machine type communications device, a cordless phone, a session initiation protocol (SIP) phone, a wireless local loop (wireless local) loop (WLL) station, personal digital assistant (PDA), handheld device with wireless communication capabilities, computing device or other processing device connected to a wireless modem, vehicle-mounted equipment, communication equipment carried on high-altitude aircraft, wearable Equipment, drones, robots, smart point of sale (POS) machines, terminals in device-to-device communication (D2D), terminals in vehicle to everything (V2X) , virtual reality (VR) terminal equipment, augmented reality (AR) terminal equipment, wireless terminals in industrial control (industrial control), wireless terminals in self-driving (self driving), remote medicine (remote) Wireless terminals in medical, wireless terminals in smart grid, wireless terminals in transportation safety, wireless terminals in smart city, wireless terminals in smart home Or terminal equipment in future communication networks, etc
  • the device used to implement the function of the terminal device may be a terminal device; it may also be a device that can support the terminal device to implement the function, such as a chip system.
  • the device can be installed in a terminal device or used in conjunction with the terminal device.
  • the chip system may be composed of chips, or may include chips and other discrete devices.
  • the access network device in the embodiment of the present application may be a device with wireless transceiver functions for communicating with a terminal device, or may be a device that connects a terminal device to a wireless network.
  • the network device may be a node in a wireless access network, may also be called a base station, or may be called a radio access network (radio access network, RAN) node (or device).
  • radio access network radio access network
  • the network device may be an evolved base station (eNB or eNodeB) in LTE; or a next generation node B (gNB) in a 5G network or a future evolved public land mobile network (public land mobile network) , PLMN) base stations, broadband network service gateways (broadband network gateway, BNG), aggregation switches or non-3rd generation partnership project (3rd generation partnership project, 3GPP) access equipment, etc.
  • eNB evolved base station
  • gNB next generation node B
  • PLMN public land mobile network
  • BNG broadband network gateway
  • aggregation switches or non-3rd generation partnership project (3rd generation partnership project, 3GPP) access equipment, etc.
  • the network equipment in the embodiments of this application may include various forms of base stations, such as: macro base stations, micro base stations (also called small stations), relay stations, access points, and base stations implemented in communication systems evolved after 5G.
  • Functional devices access points in WiFi systems point, AP), transmission point (transmitting and receiving point, TRP), transmitting point (TP), mobile switching center and device-to-device (D2D), vehicle outreach (vehicle-to- everything, V2X), equipment that performs base station functions in machine-to-machine (M2M) communications, etc.
  • centralized units cloud radio access network, C-RAN) systems in Network equipment in centralized unit (CU), distributed unit (DU), and non-terrestrial network (NTN) communication systems can be deployed on high-altitude platforms or satellites.
  • C-RAN cloud radio access network
  • C-RAN cloud radio access network
  • CU centralized unit
  • DU distributed unit
  • NTN non-terrestrial network
  • Access network equipment can communicate and interact with core network equipment to provide communication services to terminal equipment.
  • the core network equipment is, for example, equipment in the 5G network core network (core network, CN).
  • core network As a bearer network, the core network provides an interface to the data network, provides terminals with communication connections, authentication, management, policy control, and carries data services.
  • the device used to implement the function of the access network device may be the access network device; it may also be a device that can support the access network device to implement the function, such as a chip system.
  • the device can be installed in the access network equipment or used in conjunction with the access network equipment.
  • the uplink channel is the channel from the terminal equipment to the access network equipment.
  • Least squares estimation also known as least squares estimation, is an estimation method that minimizes the sum of square errors between the measured value and the measured value. This method does not consider the statistical characteristics of the measured value.
  • Minimum mean square error estimation is an estimation method that minimizes the mean square sum of errors between the measured value and the statistical quantity. It requires the statistical characteristics of the measured value as a priori information.
  • the linear minimum mean square error estimate is a linear approximation of the minimum mean square error (MMSE) estimate.
  • H the channel matrix
  • N the noise.
  • the complete wireless baseband channel is a function of space and time.
  • the channel can be characterized as channel impulse responses corresponding to different delays.
  • the dimensions corresponding to delay and space are delay domain and air domain.
  • the information in the delay domain is transformed into the information in the frequency domain after being transformed by the discrete Fourier transform (DFT), and the information in the spatial domain is transformed into the information in the beam domain after being transformed by the DFT.
  • DFT discrete Fourier transform
  • the delay path is a specific delay sample point. There is a channel impulse response under this delay, that is, there is a signal path with a delay size similar to the delay sample point.
  • the delay power spectrum of the channel is a curve formed by taking the delay as the abscissa and the total energy of the channel under the delay as the ordinate.
  • the beam power spectrum of the channel is a curve formed by taking the beam angle as the abscissa and the total energy of the channel at the beam angle as the ordinate.
  • the sparsity information of the channel delay domain represents the channel path (i.e., the channel impulse response) at which delay sample points exist.
  • the spatial statistical covariance matrix is obtained by counting the spatial instantaneous covariance matrix over time, and the spatial instantaneous covariance matrix is the conjugate matrix of the instantaneous channel matrix multiplied by itself.
  • the basis matrix can be a basis matrix predefined by the protocol, or , is a basis matrix determined by the access network device and configured to the terminal device, or is a basis matrix negotiated between the access network device and the terminal device.
  • the basis combination coefficient matrix is used to restore the covariance matrix R by FCF H.
  • the discrete Fourier transform is a discrete form of Fourier transform in both the time domain and the frequency domain, converting the samples of the time domain signal into the samples of the frequency domain.
  • the discrete Fourier transform basis is the basis of the discrete Fourier transform space, that is, the column vector of the matrix used to perform the discrete Fourier transform.
  • RE is the smallest granular physical layer resource, which is one subcarrier in the frequency domain and one orthogonal frequency division multiplexing (OFDM) symbol in the time domain.
  • OFDM orthogonal frequency division multiplexing
  • RB is the basic unit for channel resource allocation in the frequency domain. Generally, one RB contains 12 subcarriers in the frequency domain and is usually 1 time slot in the time domain.
  • the description of RBs involved in this application mainly refers to the frequency domain dimension. For example, the number of RBs refers to the number of RBs in different frequency domains in the same time slot.
  • the base station can take advantage of the reciprocity of the uplink and downlink channels to obtain the downlink channel estimate through the uplink SRS channel estimate, and then precode the downlink data based on the channel state information (CSI) determined by the downlink channel estimate.
  • CSI channel state information
  • the basic flow chart of SRS estimation by the base station and UE is shown in Figure 2: 1
  • the base station sends channel estimation configuration information to notify the UE of the time and behavior of the SRS measurement by the base station; 2
  • the UE sends SRS to the base station according to the configuration information, where SRS is used for the channel Estimation; 3
  • the base station measures the SRS and estimates the channel, and sends data to the UE based on the estimated CSI. That is to say, the base station can perform uplink channel estimation/recovery based on the SRS to obtain the CSI of the uplink channel, and use the reciprocity of the uplink and downlink channels in the TDD system to determine the CSI of the uplink channel as the CSI of the downlink channel. Therefore, the base station subsequently Data can be sent based on the CSI of the downlink channel. For example, the base station may determine the precoding used when sending data to the UE based on the channel estimated by the downlink channel CSI.
  • the base station may not use the reciprocity of the uplink and downlink channels, but feed back the precoding matrix indicator (PMI) of the downlink channel CSI to the base station through the UE.
  • PMI precoding matrix indicator
  • the base station sends channel measurement configuration information to the UE to configure the time and behavior of the UE channel measurement; 2 The base station sends the channel state information reference signal (CSI-RS) to the UE; 3 The UE measures the CSI-RS As a result, CSI is sent, that is, the UE measures the received CSI-RS and calculates the CSI and feeds it back to the base station, where the CSI includes PMI; 4 The base station sends data based on the CSI fed back by the UE. Specifically, the base station may determine the precoding used when sending data to the UE based on the PMI in the CSI fed back by the UE.
  • CSI-RS channel state information reference signal
  • the base station uses SRS channel estimation to obtain downlink channel estimation (refer to the process shown in Figure 2) with higher accuracy. For example, the base station first performs LS estimation based on the SRS transmission signal and the SRS reception signal to obtain the estimated channel Among them, X is the SRS sending signal, and Y is the SRS receiving signal.
  • the accuracy of uplink channel estimation based on SRS is low, so the accuracy of downlink channel estimation is also low.
  • the terminal equipment directly feeds back the downlink channel estimation result determined based on CSI-RS to the access network equipment as the estimated value of the downlink channel (refer to the process shown in Figure 3), because the UE needs to quantize the estimated value of the downlink channel.
  • Feedback Affected by the quantization loss of feedback, the accuracy of the downlink channel estimate value received by the access network device fed back by the terminal device will be affected.
  • this application provides a method for determining channel state information and related devices, which can improve the accuracy and precision of uplink channel estimation, and thereby improve the accuracy and precision of downlink channel estimation determined based on uplink channel estimation.
  • Figure 4 is an interactive schematic diagram of a method for determining channel state information provided by an embodiment of the present application.
  • the method for determining channel state information includes the following steps S401 to S405.
  • the execution subject of the method shown in Figure 4 may be a terminal device and an access network device.
  • the method execution subject shown in Figure 4 may be a chip in the terminal device and a chip in the access network device.
  • Figure 4 is a schematic flow chart of a method embodiment of the present application, showing detailed communication steps or operations of the method, but these steps or operations are only examples, and other embodiments of the present application can also be performed. operations or variations of the various operations in Figure 4.
  • the various steps in FIG. 4 may be performed in a different order than that presented in FIG. 4 , and not all operations in FIG. 4 may be performed.
  • Figure 4 takes the terminal device and the access network device as the execution subjects of the method as an example for illustration. in:
  • the access network device sends the first reference signal to the terminal device.
  • the terminal device receives the first reference signal from the access network device.
  • the first reference signal may be CSI-RS, cell-specific reference signal (CRS), demodulation reference signal (DMRS), synchronization signal and PBCH block (synchronization signal and PBCH block, SSB), etc., or other types of reference signals, which are not limited here.
  • the access network device may send first configuration information to the terminal device.
  • the first configuration information is used to configure information related to the first reference signal, such as configuring which resources the terminal device measures the first reference signal on. information and how to report measurement results.
  • the terminal device determines the first measurement information according to the first reference signal.
  • the terminal device After the terminal device receives the first reference signal from the access network device, the terminal device performs channel measurement and calculation on the first reference signal to obtain the first measurement information.
  • the terminal device sends the first measurement information to the access network device.
  • the access network device receives the first measurement information from the terminal device.
  • the first configuration information may configure the terminal device to send the first measurement information to the access network device in an aperiodic or periodic manner. It can be understood that the access network device may periodically send the first reference signal, and the sending period of the first measurement information may be equal to or greater than the sending period of the first reference signal.
  • the first measurement information includes at least one of first information and second information. That is to say, the first measurement information includes the first information, or the first measurement information includes the second information, or the first measurement information includes the first information and the second information.
  • the first information is used to indicate channel delay domain information
  • the second information is used to indicate spatial domain statistical information of the channel.
  • for indicating may include direct indicating and indirect indicating.
  • indication information when describing that certain indication information is used to indicate A, it may include that the indication information directly indicates A or indirectly indicates A, but it does not mean that the indication information must carry A.
  • the information indicated by the indication information is called information to be indicated.
  • the information to be indicated can be directly indicated, such as the information to be indicated itself or the information to be indicated. Index indicating information, etc.
  • the information to be indicated may also be indirectly indicated by indicating other information, where there is an association relationship between the other information and the information to be indicated. It is also possible to indicate only a part of the information to be indicated, while other parts of the information to be indicated are known or agreed in advance.
  • the indication of specific information can also be achieved by means of a pre-agreed (for example, protocol stipulated) arrangement order of each piece of information, thereby reducing the indication overhead to a certain extent.
  • each piece of information can also be identified and indicated in a unified manner to reduce the instruction overhead caused by indicating the same information individually.
  • a precoding matrix is composed of precoding vectors, and each precoding vector in the precoding matrix may have the same parts in terms of composition or other attributes.
  • the specific indication method may also be various existing indication methods, such as, but not limited to, the above-mentioned indication methods and various combinations thereof.
  • the specific details of various indication methods can be referred to the existing technology, and will not be described again here.
  • the required indication method can be selected according to specific needs.
  • the embodiments of the present application do not limit the selected indication method. In this way, the indication methods involved in the embodiments of the present application should be understood to cover the indication methods to be indicated. Various ways to obtain information to be indicated.
  • the information to be instructed can be sent together as a whole, or can be divided into multiple sub-information and sent separately, and the sending period and/or sending timing of these sub-information can be the same or different.
  • the specific sending method is not limited in this application.
  • the sending period and/or sending timing of these sub-information may be predefined, for example, according to a protocol, or may be configured by the transmitting device by sending configuration information to the receiving device.
  • the configuration information may include, for example but not limited to, one or a combination of at least two of radio resource control signaling, medium access control (medium access control, MAC) layer signaling and physical layer signaling.
  • radio resource control signaling includes, for example, radio resource control (RRC) signaling;
  • MAC layer signaling for example, includes MAC control element (CE);
  • physical layer signaling for example, includes downlink control information (downlink control information, DCI).
  • the channel delay domain information may be channel delay domain sparsity information
  • the channel's spatial statistical information may be the channel's spatial statistical covariance matrix.
  • the spatial statistical covariance matrix of the channel can be understood as including the spatial statistical covariance matrix corresponding to each delay path in the multiple delay paths, or, the spatial statistical covariance matrix of the channel
  • the spatial statistical covariance matrix can be understood as including the spatial statistical covariance matrix corresponding to some of the delay paths among the plurality of delay paths.
  • the channel delay domain information can also be the channel delay power spectrum information
  • the channel spatial domain statistical information can also be the channel beam power spectrum information, etc., which are not limited here.
  • the terminal equipment can select delay paths in order from large to small energy according to the delay power spectrum information, until the total energy of the selected delay path reaches a certain threshold, which is used to represent the position of the selected delay path.
  • a certain threshold which is used to represent the position of the selected delay path.
  • Channel delay domain sparsity information the terminal equipment selects a delay path whose energy is higher than a certain threshold on each delay path based on the delay power spectrum information to represent the sparsity information of the channel delay domain at the selected delay path position.
  • the terminal equipment can obtain the energy of each beam sample point according to the beam power spectrum information, and construct a diagonal matrix as a diagonal element, that is, an approximation of the spatial domain statistical covariance matrix.
  • the channel delay domain information is mainly used as the first channel delay domain sparsity information
  • the spatial domain system of the channel is Taking the first spatial domain statistical covariance matrix whose accounting information is the channel as an example for schematic explanation.
  • the first information is used to indicate channel delay domain information.
  • the first channel delay domain sparsity information is characterized by the indication information of the first bit map, where the length of the first bit map is the number of RBs.
  • the number of RBs involved in this application is The access network device schedules the number of RBs allocated to the terminal device.
  • the bit position taking the first value in the first bit map represents the position of the delay path.
  • the first value may specifically be 1 or 0, and is not limited here.
  • the following schematic explanation is mainly performed by taking the first value of 1 indicating the position of the delay path as an example. It is understandable that since the information in the delay domain becomes information in the frequency domain after DFT transformation, the number of delay sample points in the delay domain is equal to the number of RBs in the frequency domain.
  • the locations of the delay paths are the 1st delay sample point, the 5th delay sample point, the 8th delay sample point, and the 9th delay sample point respectively. point.
  • the delay path corresponding to the first delay sample point can be described as delay path 1
  • the delay path corresponding to the fifth delay sample point can be described as delay path 5
  • the delay path corresponding to the eighth delay sample point can be described as delay path 5.
  • the delay path corresponding to the sample point is described as delay path 8
  • the delay path corresponding to the ninth delay sample point is described as delay path 9.
  • the first channel delay domain sparsity information indicates the index of each delay path in the channel.
  • the first channel delay domain sparsity information can be characterized by the index of the delay path.
  • the first channel delay domain sparsity information may indicate delay path index 1, delay path index 5, delay path index 8 and delay path index 9. Therefore, the corresponding delay path can be determined according to the delay path index.
  • the corresponding delay path 1 can be determined according to the delay path index 1
  • the corresponding delay path 5 can be determined according to the delay path index 5
  • the corresponding delay path 5 can be determined according to the delay path index 5.
  • the index 8 can determine the corresponding delay path 8, and the corresponding delay path 9 can be determined according to the delay path index 9.
  • the first channel delay domain sparsity information indicates the number of combinations of delay paths.
  • the first channel delay domain sparsity information can be characterized by the number of combinations of delay paths. For example, if a channel with 10 frequency points contains 4 delay paths, the combination of delay path positions has a total of Therefore, the corresponding delay path can be determined according to the combination number of the delay path number and the delay path position. For example, it can be agreed that when the number of delay paths is 4, the 89th delay path position combination is the delay path at The 1st, 5th, 8th, and 9th delay samples.
  • the second information is used to indicate airspace statistical information of the channel.
  • the second information indicates the first airspace statistical covariance matrix of each delay path of the channel by indicating the eigenvalues and eigenvector matrices. That is, the access network device can indicate the first airspace statistical covariance matrix of each delay path of the channel based on the eigenvalues and eigenvector matrices.
  • the vector matrix recovers or restores the first spatial domain statistical covariance matrix.
  • the terminal device can calculate the first airspace statistical covariance matrix corresponding to each delay path, and use the first airspace statistical covariance matrix corresponding to the delay path n (n is an integer greater than or equal to 1).
  • E represents the expectation function
  • h n is the channel matrix corresponding to the delay path n
  • the dimension of R hh,n is N tx ⁇ N tx
  • N tx is the number of transmit antenna ports of the access network equipment.
  • the terminal device can send R hh,n of the delay path n to the access network device through quantized feedback.
  • R hh,n of delay path n can be decomposed as follows:
  • the terminal device can feed back the decomposed eigenvalues and the indication information of the eigenvector matrix as second information to the access network device.
  • in represents the set of real numbers
  • K represents the number of eigenvalues
  • the terminal device feeds back the eigenvector matrix to the access network device by projecting it onto the DFT base.
  • the DFT basis is the matrix used for discrete Fourier transform. Projecting to the DFT basis means multiplying the eigenvector matrix and the DFT basis matrix, and the multiplied coefficients are the projection values. Therefore, the terminal device can feed back the indication information of the projection value of the feature vector matrix on the DFT base to the access network device, or feed back the indication information of the quantized projection value to the access network device, and the access network device will Multiplying by the inverse matrix of the DFT basis restores the eigenvector matrix.
  • the terminal device feeds back the characteristic value of the delay path to the access network device by directly feeding back the indication information of the characteristic value corresponding to each delay path, or by feeding back the indication of the reference characteristic value.
  • the characteristic value of each delay path is fed back to the access network device in the form of information and indication information of the difference between the characteristic value of the delay path and the reference characteristic value.
  • the reference eigenvalue is the maximum eigenvalue among the eigenvalues corresponding to a certain delay path, or the reference eigenvalue is the maximum value among the eigenvalues corresponding to each delay path, or the reference eigenvalue is the maximum eigenvalue among the eigenvalues corresponding to each delay path.
  • the mean value of the corresponding eigenvalues, or the reference eigenvalue is the median of the eigenvalues corresponding to each time-delay path, etc. The specific determination is based on the actual application scenario and is not limited here.
  • delay path 1 there are four delay paths, namely delay path 1, delay path 5, delay path 8 and delay path 9.
  • the eigenvalues corresponding to delay path 1 are ⁇ 1,2,3,4 ⁇
  • the eigenvalues corresponding to delay path 5 are ⁇ 1,3,5,6 ⁇
  • the eigenvalues corresponding to delay path 8 are ⁇ 3,4,4,6 ⁇
  • the eigenvalue corresponding to delay path 9 is ⁇ 2,2,3,4 ⁇ .
  • the terminal device directly feeds back the characteristic values of each of the above delay paths to the access network device, that is, the characteristic values corresponding to the feedback delay path 1 are ⁇ 1, 2, 3, 4 ⁇ , and the characteristic values corresponding to the feedback path 5 are ⁇ 1, 2, 3, 4 ⁇ .
  • the eigenvalues of are ⁇ 1,3,5,6 ⁇
  • the eigenvalues corresponding to delay path 8 are ⁇ 3,4,4,6 ⁇
  • the eigenvalues corresponding to delay path 9 are The eigenvalues are ⁇ 2,2,3,4 ⁇ .
  • the terminal device can feed back the reference eigenvalue 4.
  • the reference eigenvalue 6 and the difference information between the reference eigenvalue 6 and the eigenvalue in delay path 5 can be fed back, that is, ⁇ 5,3,1,0 ⁇ ; for delay path 8, the reference eigenvalue is 6.
  • the terminal device can feed back the reference characteristic value 6 and the difference information between the reference characteristic value 6 and the characteristic value in the delay path 8, that is, ⁇ 3, 2, 2, 0 ⁇ ; for the delay path 9
  • the reference eigenvalue is 4. Therefore, the terminal device can feed back the reference eigenvalue 4 and the difference information between the reference eigenvalue 4 and the eigenvalue in the delay path 9, that is, ⁇ 2, 2, 1, 0 ⁇ .
  • the feedback reference eigenvalue is 6, and for delay path 1, the feedback reference eigenvalue and The difference information between the eigenvalues in delay path 1, that is, ⁇ 5, 4, 3, 2 ⁇ . For delay path 5, it is also necessary to feed back the difference between the reference eigenvalues and the eigenvalues in delay path 5.
  • the difference information that is, ⁇ 5,3,1,0 ⁇ , for delay path 8
  • the second information indicates the first spatial domain statistical covariance matrix of each delay path of the channel by indicating a base combination coefficient matrix. Therefore, the access network device can recover or restore the first spatial domain statistical covariance matrix through the basis combination coefficient matrix indicated by the second information and the known basis matrix.
  • the known basis matrix may be predefined by the protocol, may be determined by the access network device and configured to the terminal device, or may be negotiated between the access network device and the terminal device.
  • the terminal device can feed back the indication information of the decomposed base combination coefficient matrix as second information to the access network device.
  • the first channel delay domain sparsity information represents N delay paths (N is an integer greater than or equal to 1) through the first bit map or the index of the delay path or the number of combinations of delay paths.
  • the above-mentioned spatial domain statistical information of the channel includes the first spatial domain statistical covariance matrix of each of the N delay paths of the channel, where one delay path corresponds to one first spatial domain statistical covariance matrix.
  • the access network device in order to reduce the feedback overhead, can instruct the terminal device to only feed back the airspace statistical covariance matrix of some delay paths with lower energy (i.e., delay weak paths), while the rest of the delay paths with higher energy will be fed back. Since the signal-to-noise ratio of the delay path (instantaneous delay path) is also high, the access network equipment can directly estimate the corresponding airspace statistical covariance matrix from the received second reference signal. For the convenience of description, the access network will be described later.
  • the spatial statistical covariance matrix estimated by the device based on the second reference signal is described as a second spatial statistical covariance matrix.
  • the access network device may send third information to the terminal device.
  • the third information is used to divide the first type of delay path and the second type of delay path in the channel delay domain.
  • the energy of each delay path is greater than the energy of each delay path in the second type of delay path.
  • the first type of delay path can be described as a delay-strong path
  • the second type of delay path can be described as a delay-weak path. Therefore, after the terminal device receives the third information from the access network device, the terminal device can determine the delay strong path and the delay weak path in the channel delay domain based on the third information, and then the terminal device can only feed back the delay weak path.
  • the first spatial domain statistical covariance matrix corresponding to the location of the path and the delay weak path.
  • the third information can be carried in the above-mentioned first configuration information, or the third information can also be sent through other signaling or messages, which is not limited here.
  • the third information may be indication information of an energy threshold. Therefore, after receiving the third information, the terminal device may determine the delay path in the delay path whose energy is greater than the energy threshold as the third A type of delay path; the delay paths that are smaller than the energy threshold among the delay paths are determined as the second type of delay path; for those delay paths whose energy is equal to the energy threshold, they can be determined as the first type of delay path. Or the second type of delay path, which is determined according to the actual application scenario and is not limited here.
  • the access network device may determine the energy threshold according to the estimated signal-to-noise ratio of the second reference signal.
  • the third information may be indication information of the number of delay strong paths p or the number of delay weak paths q.
  • the terminal device can sort the delay paths in order from large to small in energy or in order of energy from small to large. Sort them in order, and determine the largest p delay paths after sorting as the first type of delay paths, and determine the delay paths other than the first type of delay paths as the second type of delay paths.
  • the terminal device can sort the delay paths in order from large to small in energy or in order from small to small in energy. Sort the smallest q delay paths in the largest order, and determine the smallest q delay paths after sorting as the second type of delay paths. Delay paths other than the delay path of the first type are determined as delay paths of the first type.
  • the third information is indication information of the number of delay strong paths p
  • the value of p is less than or equal to the total number N of each delay path in the channel; optionally, when the value of p is greater than the channel
  • the terminal equipment defaults that each delay path in the channel delay domain is a delay-intensive path.
  • the third information is indication information of the number of delay weak paths q
  • the value of q is less than or equal to the total number of delay paths N in the channel; optionally, when the value of q is greater than the total number of delay paths in the channel
  • the terminal equipment defaults that each delay path in the channel delay domain is a weak delay path.
  • the third information may also be indication information of p/N or q/N or p/q or q/p.
  • delay path 1 there are four delay paths, namely delay path 1, delay path 5, delay path 8 and delay path 9, where the energy of delay path 1 is E1 and the energy of delay path 5 is is E5, the energy of delay path 8 is E8 and the energy of delay path 9 is E9. So:
  • the third information is the indication information of the energy threshold.
  • the energy threshold is represented as E0. If the terminal device determines that E1, E5 and E8 are all greater than E0, and E9 is less than E0, then the terminal device can determine the delay path. 1.
  • Delay path 5 and delay path 8 are the first type of delay paths, which are strong instantaneous delay paths, while delay path 9 is the second type of delay path, which are weak instantaneous delay paths.
  • the terminal device can sort the above four delay paths in order from large to small energy, assuming E5>E1>E8>E9, then the terminal equipment can determine the first three delay paths with the highest energy as delay strong paths, and the immediate delay strong paths are delay path 1, delay path 5, and delay path 8; Except for the three delay paths with the highest energy, the other delay paths are determined as delay weak paths, and the delay weak paths are delay paths 9.
  • the terminal device can sort the above four delay paths in order from large to small energy, assuming E5>E1>E8>E9, then the terminal equipment can determine the delay path with the lowest energy as the weak delay path, and the weak delay path is delay path 9; except for the delay path with the lowest energy
  • the other delay paths are determined as delay strong paths, and the immediate delay strong paths are delay path 1, delay path 5, and delay path 8.
  • the strong delay paths are delay path 1, delay path 5, and delay path 8; the delay paths except the three delay paths with the highest energy are determined as delay weak paths, and the delay weak paths are delay paths. diameter 9.
  • the terminal device when the terminal device receives the third information from the access network device and determines the first type of delay path and the second type of delay path based on the third information, the terminal device can only feed back the weak delay path.
  • the first measurement information when the first channel delay domain sparsity information included in the first measurement information indicates the location of each delay path on the channel, then the first measurement information also includes fourth information, and the fourth information The information is combined with the first channel delay domain sparsity information indicating the position of each delay path in the channel, and then the position of the second type of delay path (ie, weak delay path) in the channel can be determined.
  • the spatial statistical information of the channel includes the first spatial statistical covariance matrix of the channel, which is understood as: the spatial statistical information of the channel includes the first spatial statistical covariance matrix of the second type delay path of the channel, that is, the spatial statistical information of the channel It is understood that it only includes the first spatial domain statistical covariance matrix on the delay weak path of the channel.
  • the fourth information can be represented by a third bitmap, where the length of the third bitmap is the total number of delay paths in the channel, and the bit position taking the first value in the third bitmap represents the first type of time delay.
  • the position of the delay path, the bit position taking the second value in the third bitmap represents the position of the second type of delay path. That is to say, the position of the signal delay weak path can be jointly represented by the first bit map and the third bit map.
  • the first value may be 1 and the second value may be 0, or the first value may be 0 and the second value may be 1, which is not limited here.
  • the following schematic description mainly takes the first value as 0 and the second value as 1.
  • the first image is 1000100110
  • the third bitmap is 0001, and the delay path index becomes larger from left to right. Therefore, it can be determined that delay path 1, delay path 5 and delay path 8 are the first type of delay path.
  • Path 9 is the second type of delay path.
  • the first channel delay domain sparsity information included in the first measurement information is understood to only indicate the location of the delay weak path in the channel.
  • the spatial statistical information of the channel includes the first spatial statistical covariance matrix of the channel, which is understood as: the spatial statistical information of the channel includes the first spatial statistical covariance matrix of the second type delay path of the channel, that is, the spatial statistical information of the channel It is understood that it only includes the first spatial domain statistical covariance matrix on the delay weak path of the channel.
  • the first channel delay domain sparsity information when the first channel delay domain sparsity information only indicates the location of the delay weak path, the first channel delay domain sparsity information can be represented by a second bitmap, and the length of the second bitmap is a resource block. RB number, the first value in the second bitmap indicates the position of the second type of delay path. this Here, the first value can specifically be 1 or 0, and there is no restriction here.
  • the location of the delay weak path is the ninth delay sample point.
  • the delay path corresponding to the ninth delay sample point can be described as delay path 9 later.
  • the first channel delay domain sparsity information when the first channel delay domain sparsity information only indicates the location of the weak delay path, the first channel delay domain sparsity information may directly include the index of the second type of delay path.
  • the spatial statistical information of the channel includes the first spatial statistical covariance matrix of the channel, which is understood as: the spatial statistical information of the channel includes the first spatial statistical covariance matrix of the second type delay path of the channel, that is, the spatial statistical information of the channel It is understood that it only includes the first spatial domain statistical covariance matrix on the delay weak path of the channel.
  • the sparsity information of the first channel delay domain may include the delay path index 9. Therefore, the second type of delay path may be determined according to the delay path index, that is, the second type of delay path includes the delay path index 9. The corresponding delay path is 9.
  • the sparsity information of the first channel delay domain indicates the number of combinations of delay paths of the second type.
  • the sparsity information of the first channel delay domain may be characterized by the number of combinations of delay paths of the second type. For example, if a channel with 10 frequency points contains 1 Type 2 delay path, the combination of Type 2 delay path positions has a total of Therefore, the corresponding second type delay path can be determined according to the combined number of the second type delay path number and the second type delay path position. For example, it can be agreed that when the second type delay path number is 1, the second type delay path The position combination of 9 types of second-type delay paths is the ninth delay sample point of the second-type delay path.
  • the terminal device sends the second reference signal to the access network device.
  • the access network device receives the second reference signal from the terminal device.
  • the second reference signal may be SRS, DMRS, etc., which is not limited here.
  • the access network device may send second configuration information to the terminal device for configuring information related to the second reference signal, for example, configuring on which resources the terminal device sends the second reference signal.
  • the second configuration information and the first configuration information may be carried in the same message, or may be carried in different messages respectively.
  • the access network device determines channel state information based on the first measurement information and the second reference signal.
  • the first measurement information sent by the terminal device includes at least one of the first information and the second information.
  • the first information is mainly the sparsity information of the first channel delay domain
  • the second information is the first spatial domain statistical covariance matrix of each delay path of the channel or the first spatial statistical covariance matrix of the second type of delay path.
  • the variance matrix is taken as an example for schematic explanation.
  • the access network device uses the first measurement information and the second reference signal to Determining the channel state information can be understood as: the access network device determines the first delay domain channel information based on the second reference signal, and determines the second delay domain channel information, where the second delay domain channel information is based on the first channel time
  • the delay domain sparsity information and the first delay domain channel information are obtained, that is, the access network device performs noise reduction processing on the first delay domain channel information through the first channel delay domain sparsity information, and the second delay domain can be obtained channel information.
  • the access network equipment performs uplink channel estimation based on the first spatial domain statistical covariance matrix and the second delay domain channel information of the channel, and utilizes the reciprocity of the uplink and downlink channels to determine the result of the uplink channel estimation as the downlink channel.
  • the estimation result is to determine the channel state information obtained by the uplink channel estimation as the channel state information of the downlink channel.
  • the access network device determines the delay domain channel information based on the second reference signal can be understood as: the access network device performs LS estimation on the sent second reference signal and the received second reference signal to obtain the noisy channel Then the noisy channel By transforming into the delay domain, the delay domain channel information can be obtained.
  • the above-mentioned first channel delay domain sparsity information usually indicates channel delay domain sparsity information at RB level granularity. Therefore, the above determination of the second delay domain channel information can be understood as: determining the sparsity information of the channel delay domain of the RE level granularity based on the sparsity information of the channel delay domain of the RB level granularity; The information and the first delay domain channel information determine the second delay domain channel information.
  • the above-mentioned denoising process on the first delay domain channel information through the sparsity information of the first channel delay domain to obtain the second delay domain channel information can be specifically understood as: the channel delay domain according to the RB level granularity
  • the sparsity information determines the sparsity information of the channel delay domain at the RE level granularity, and performs denoising processing on the first delay domain channel information based on the sparsity information of the channel delay domain at the RE level granularity to obtain the second delay domain channel information.
  • the noise reduction processing in the embodiment of the present application can be understood as zeroing the channel where the non-delay path is located based on the sparsity information of the channel delay domain.
  • the sparsity information of the RE-level granularity channel delay domain is 1000100110 followed by 50 zeros
  • the channel matrices corresponding to the 1st, 5th, 8th, and 9th delay sample points among the 60 delay sample points are retained.
  • the corresponding channel matrices on the remaining 56 delay sample points are set to 0. It is understandable that since the information in the delay domain is information in the frequency domain after DFT transformation, the number of delay sample points corresponding to the delay domain channel information determined by the second reference signal is equal to the number of REs in the frequency domain.
  • the RE-level granularity sparsity information of the channel delay domain can be obtained by adding zeros to the RB-level granularity channel delay domain sparsity information.
  • Channel delay domain sparsity information due to The first channel delay domain sparsity information included in the first measurement information is of RB level granularity, and the delay domain channel information determined by the second reference signal is of RE level granularity. Therefore, it is necessary to add 0 to the first channel delay domain sparsity information. Only then can the delay domain channel information determined by the second reference signal be matched for noise reduction processing.
  • N RB represents the number of RBs
  • N RE represents the number of REs
  • the sparsity information of the first channel delay domain at the RB level granularity is 1000100110
  • the sparsity information of the channel delay domain at the RB level granularity is supplemented with 0 by 0 to the sparsity information of the channel delay domain at the RE level granularity.
  • the sparsity information of the channel delay domain with RE-level granularity can be obtained.
  • comb division means that SRS frequency domain resources are allocated into a comb structure.
  • 2 comb division means that only one RE will be selected to carry SRS for every 2 REs. That is, the frequency actually occupied by SRS with a total bandwidth of 120 REs (corresponding to 10 RBs) Domain resources are 60 REs.
  • the above-mentioned access network device performs uplink channel estimation based on the first airspace statistical covariance matrix and the delay domain channel information after noise reduction processing. It can be understood that: the access network device estimates the first time delay path corresponding to By performing LMMSE estimation on a spatial domain statistical covariance matrix and the delay domain channel information after noise reduction, the uplink estimated channel of each delay path can be obtained. For example, taking the delay path n as an example, the access network device can recover the first airspace statistics corresponding to the delay path n based on the eigenvector matrix U n and the eigenvalue c n corresponding to the delay path n obtained from the feedback information of the terminal device.
  • the covariance matrix is R hh,n and is based on R hh,n and delay domain channel information.
  • ⁇ represents the variance of the noise
  • I is the unit matrix
  • the set formed by the uplink estimated channels of each delay path is the complete uplink estimated channel. It should be noted that since the TDD system has uplink and downlink reciprocity, the obtained complete uplink estimated channel (ie, the uplink channel estimation result) can be determined as the downlink channel estimation result.
  • the channel delay domain sparsity information and air domain statistical covariance matrix used for channel estimation are estimated by the access network device based on the received second reference signal.
  • the channel delay domain sparsity information i.e., the first channel delay domain sparse information
  • the airspace statistical covariance matrix i.e., the first airspace statistical covariance matrix of the channel
  • the access network equipment uses the more accurate and precise channel delay domain sparsity information and airspace statistical covariance matrix for downlink channel estimation based on the feedback from the terminal equipment, which is beneficial to improving the efficiency of downlink channel estimation. Accuracy.
  • the access network device determines the channel state information based on the first measurement information and the second reference signal, which can be understood as: The network access device determines the first delay domain channel information based on the second reference signal, and determines the second delay domain channel information, where the second delay domain channel information is based on the first channel delay domain sparsity information and the first time delay domain sparsity information.
  • the second delay domain channel information can be obtained by obtaining the delay domain channel information, or in other words, denoising the first delay domain channel information through the sparsity information of the first channel delay domain.
  • the access network equipment determines the second airspace statistical covariance matrix, and performs uplink channel estimation based on the second airspace statistical covariance matrix and the second delay domain channel information, that is, determines the channel status information, and uses the uplink and downlink channel Reciprocity determines the uplink channel estimation result as the downlink channel estimation result.
  • the second spatial domain statistical covariance matrix is obtained based on the second reference signal.
  • the second spatial domain statistical covariance matrix is estimated based on the second reference signal and the first channel delay domain sparsity information. That is to say, the access network device can determine the delay path in the channel based on the first channel delay domain sparsity information, and then estimate the delay indicated by the first channel delay domain sparsity information based on the second reference signal.
  • the second spatial domain statistical covariance matrix corresponding to each delay path in the path.
  • the understanding of denoising the delay domain channel information based on the sparsity information of the first channel delay domain can be found in the foregoing relevant descriptions, which will not be described again here; the second spatial domain statistical covariance matrix and the second temporal
  • uplink channel estimation based on delay domain channel information please refer to the aforementioned description of uplink channel estimation based on the first spatial domain statistical covariance matrix and the second delay domain channel information, which will not be described again here.
  • the channel delay domain sparsity information used for channel estimation (i.e., the first channel delay domain sparsity information) is reported by the terminal device to the access network device, and the airspace statistics protocol
  • the variance matrix (i.e., the second airspace statistical covariance matrix) is estimated by the access network equipment through the received second reference signal. Since the transmission power of the second reference signal sent by the terminal equipment is compared with that of the access network equipment, The transmitting power of the first reference signal sent by the equipment is lower. Therefore, the accuracy of the channel delay domain sparsity information estimated by the access network equipment based on the second reference signal is not as accurate as the first estimated by the terminal equipment based on the first reference signal. Accuracy of sparsity information in channel delay domain.
  • the access network device uses the more accurate first channel delay domain sparsity information fed back by the terminal device for downlink channel estimation, which is beneficial to improving the accuracy and precision of downlink channel estimation.
  • the terminal device since the terminal device does not need to feedback the indication information of the air domain statistical covariance matrix, the overhead of air interface transmission is reduced.
  • the access network device determines the channel state information based on the first measurement information and the second reference signal, which can be understood as: The network access device determines the first delay domain channel information based on the second reference signal, and determines the second channel delay domain sparsity information, where the second channel delay domain sparsity information is obtained based on the second reference signal, that is, the second channel delay domain sparsity information is obtained based on the second reference signal.
  • the sparsity information of the two-channel delay domain is obtained by estimating the second reference signal.
  • the second delay domain channel information is determined, where the second delay domain channel information is obtained based on the second channel delay domain sparsity information and the first delay domain channel information, or in other words, the access network device is based on The sparsity information of the second channel delay domain performs noise reduction processing on the first delay domain channel information, and the second delay domain channel information can be obtained.
  • the channel state information can be determined based on the first spatial domain statistical covariance matrix and the second delay domain channel information of the channel, that is, the uplink channel estimation is performed on the first spatial domain statistical covariance matrix and the second delay domain channel information of the channel, and The reciprocity of the uplink and downlink channels is utilized to determine the uplink channel estimation result as the downlink channel estimation result.
  • the second channel delay domain sparsity information involved in the embodiment of the present application is estimated based on the second reference signal, and the second channel delay domain sparsity information is RE-level granularity channel delay domain sparse. sexual information.
  • noise reduction processing of the first delay domain channel information based on the second channel delay domain sparsity information please refer to the aforementioned processing of the first delay domain channel information based on the first channel delay domain sparsity information. The description of noise reduction processing will not be repeated here.
  • the airspace statistical covariance matrix used for channel estimation (i.e., the first airspace statistical covariance matrix) is reported by the terminal device to the access network device, and the sparsity information in the channel delay domain is (i.e., the second channel delay domain sparsity information) is estimated by the access network equipment through the received second reference signal. Since the transmission power of the second reference signal sent by the terminal equipment is compared with the transmission power of the first reference signal sent by the access network equipment. The transmission power of the reference signal is lower. Therefore, the accuracy of the spatial statistical covariance matrix estimated by the access network device based on the second reference signal is not as accurate as the first spatial statistical covariance matrix estimated by the terminal device based on the first reference signal. Accuracy.
  • the access network device uses the more accurate first airspace statistical covariance matrix fed back by the terminal device for downlink channel estimation, which is beneficial to improving the accuracy and precision of downlink channel estimation.
  • the terminal device since the terminal device does not need to feedback channel delay domain sparsity information, the overhead of air interface transmission is reduced.
  • the access network equipment is based on TDD uplink and downlink reciprocity, and the first measurement information fed back by the terminal equipment is used to assist SRS estimation, which can solve the problem of uplink channel estimation accuracy under low SRS signal-to-noise ratio.
  • the problem is that the accuracy of the obtained downlink channel estimate is also low.
  • the terminal device directly feeds back the downlink channel information estimated based on the first reference signal to the access network device as a downlink channel estimate, the accuracy of the fed back downlink channel estimate will be affected by quantization loss.
  • part of the uplink channel estimation i.e., the second reference signal
  • part of the downlink channel estimation i.e., the first measurement information
  • the communication device provided by the present application will be described in detail below with reference to FIGS. 5 to 8 .
  • FIG. 5 is a schematic structural diagram of a communication device provided by an embodiment of the present application.
  • the communication device shown in Figure 5 can be used to perform some or all functions of the terminal device in the method embodiment described in Figure 4 above.
  • the device may be a terminal device, a device in the terminal device, or a device that can be used in conjunction with the terminal device.
  • the communication device may also be a chip system.
  • the communication device shown in FIG. 5 may include a transceiver unit 501 and a processing unit 502. Among them, the processing unit 502 is used for data processing.
  • the transceiver unit 501 integrates a receiving unit and a sending unit.
  • the transceiver unit 501 may also be called a communication unit. Alternatively, the transceiver unit 501 may also be split into a receiving unit and a transmitting unit.
  • the following processing unit 502 and transceiver unit 501 are the same, and will not be described again below. in:
  • Transceiver unit 501 configured to receive the first reference signal from the access network device
  • Processing unit 502 configured to determine first measurement information according to the first reference signal
  • the transceiver unit 501 is also configured to send the first measurement information to the access network device;
  • the transceiver unit 501 is further configured to send the second reference signal to the access network device; wherein the first measurement information and the second reference signal are used to determine channel state information.
  • the first measurement information includes at least one of first information and second information, the first information is used to indicate channel delay domain information, and the second information is used to indicate Spatial statistics of the channel.
  • the channel delay domain information includes first channel delay domain sparsity information
  • the spatial domain statistical information of the channel includes a first spatial statistical covariance matrix of the channel.
  • the first channel delay domain sparsity information includes a first-order map, and the first-order map is used to indicate the delay path. position, the length of the first image is the number of RBs;
  • the spatial statistical information of the channel includes the first spatial statistical covariance matrix of the channel, including:
  • the spatial statistical information of the channel includes a first spatial statistical covariance matrix of each delay path of the channel.
  • the transceiver unit 501 is also used to:
  • Receive third information from the access network device is used to divide the first type of delay path and the second type of delay path in the channel delay domain, and the first type of delay path in the first type of delay path The energy of each delay path is greater than the energy of each delay path in the second type of delay path.
  • the first channel delay domain sparsity information includes a second bitmap, the second bitmap is used to indicate the location of the second type of delay path, and the second bitmap The length is the number of resource blocks RB;
  • the spatial statistical information of the channel includes the first spatial statistical covariance matrix of the channel, including:
  • the spatial statistical information of the channel includes a first spatial statistical covariance matrix of the second type delay path of the channel.
  • the second information is used to indicate the eigenvalues and eigenvector matrices corresponding to the first spatial domain statistical covariance matrix of each delay path of the channel or the second type of delay path. .
  • the second information is used to indicate a base combination coefficient matrix corresponding to the first spatial domain statistical covariance matrix of each delay path of the channel or the second type of delay path.
  • the first reference signal includes a channel state information reference signal CSI-RS
  • the second reference signal includes a sounding reference signal SRS.
  • FIG. 6 is a schematic structural diagram of another communication device provided by an embodiment of the present application.
  • the communication device shown in Figure 6 can be used to perform part or all of the functions of the access network device in the method embodiment described in Figure 4 above.
  • the device may be an access network device, a device in the access network device, or a device that can be used in conjunction with the access network device.
  • the communication device may also be a chip system.
  • the communication device shown in FIG. 6 may include a transceiver unit 601 and a processing unit 602. in:
  • Transceiver unit 601 configured to send the first reference signal to the terminal device
  • the transceiver unit 601 is also configured to receive first measurement information from the terminal device, where the first measurement information is determined based on the first reference signal;
  • the transceiver unit 601 is also used to receive the second reference signal from the terminal device.
  • the processing unit 602 is configured to determine channel state information according to the first measurement information and the second reference signal.
  • the first measurement information includes at least one of first information and second information, the first information is used to indicate channel delay domain information, and the second information is used to indicate Spatial statistics of the channel.
  • the channel delay domain information includes first channel delay domain sparsity information
  • the spatial domain statistical information of the channel includes a first spatial statistical covariance matrix of the channel.
  • the first channel delay domain sparsity information includes a first bit map, the first bit map is used to indicate the position of the delay path, and the length of the first bit map is RB number.
  • the transceiver unit 601 is also used to:
  • the third information is used to divide the first type of delay path and the second type of delay path in the channel delay domain. Each delay in the first type of delay path The energy of the path is greater than the energy of each delay path in the second type of delay path;
  • the spatial statistical information of the channel includes the first spatial statistical covariance matrix of the channel, including:
  • the spatial statistical information of the channel includes a first spatial statistical covariance matrix of the second type delay path of the channel.
  • the first channel delay domain sparsity information includes a second bitmap, the second bitmap is used to indicate the location of the second type of delay path, and the second bitmap The length is the number of resource blocks RB;
  • the spatial statistical information of the channel includes the first spatial statistical covariance matrix of the channel, including:
  • the spatial statistical information of the channel includes a first spatial statistical covariance matrix of the second type delay path of the channel.
  • the second information is used to indicate the eigenvalues and eigenvector matrices corresponding to the first spatial domain statistical covariance matrix of each delay path of the channel or the second type of delay path. .
  • the second information indicates the first spatial domain statistical covariance matrix of the channel by indicating a base combination coefficient matrix.
  • the first reference signal includes a channel state information reference signal CSI-RS
  • the second reference signal includes a sounding reference signal SRS.
  • the first measurement information includes the first channel delay domain sparsity information and the first spatial domain of the channel.
  • Statistical covariance matrix
  • the processing unit 602 is also configured to determine the first delay domain channel information according to the second reference signal
  • the processing unit 602 is also used to determine second delay domain channel information.
  • the second delay domain channel information is based on the first channel delay domain sparsity information and the first delay domain channel information. get;
  • the processing unit 602 is also configured to determine channel state information based on the first spatial domain statistical covariance matrix of the channel and the second delay domain channel information.
  • the first measurement information includes the first channel delay domain sparsity information
  • the processing unit 602 is also configured to determine the first delay domain channel information according to the second reference signal
  • the processing unit 602 is also used to determine second delay domain channel information.
  • the second delay domain channel information is based on the first channel delay domain sparsity information and the first delay domain channel information. get;
  • the processing unit 602 is also configured to determine a second spatial statistical covariance matrix, which is obtained according to the second reference signal;
  • the processing unit 602 is further configured to determine channel state information based on the second spatial domain statistical covariance matrix and the second delay domain channel information.
  • the first measurement information includes a first spatial statistical covariance matrix of the channel
  • the processing unit 602 is also configured to determine the first delay domain channel information according to the second reference signal
  • the processing unit 602 is also used to determine the sparsity information of the second channel delay domain, where the sparsity information of the second channel delay domain is obtained according to the second reference signal;
  • the processing unit 602 is also used to determine second delay domain channel information.
  • the second delay domain channel information is based on the second channel delay domain sparsity information and the first delay domain channel information. get;
  • the processing unit 602 is also configured to determine channel state information based on the first spatial domain statistical covariance matrix of the channel and the second delay domain channel information.
  • the first channel delay domain sparsity information is channel delay domain sparsity information at RB level granularity
  • the processing unit 602 is also used to:
  • the second delay domain channel information is determined according to the RE-level granularity channel delay domain sparsity information and the first delay domain channel information.
  • FIG. 7 is a schematic structural diagram of another communication device provided by an embodiment of the present application.
  • the communication device may be the terminal device described in the embodiment of the present application, and is used to implement the functions of the terminal device in Figure 4 above.
  • FIG. 7 shows only the main components of the terminal device 700.
  • the terminal device 700 includes a processor, a memory, a control circuit, an antenna, and an input and output device.
  • the processor is mainly used to process communication protocols and communication data, control the entire terminal device 700, execute software programs, and process data of the software programs.
  • Memory is mainly used to store software programs and data.
  • the control circuit is mainly used for conversion of baseband signals and radio frequency signals and processing of radio frequency signals.
  • Antennas are mainly used to send and receive radio frequency signals in the form of electromagnetic waves.
  • Input and output devices such as touch screens, display screens, microphones, keyboards, etc., are mainly used to receive data input by users and output data to users.
  • the processor can read the software program in the storage unit, interpret and execute the instructions of the software program, and process the data of the software program.
  • the processor performs baseband processing on the data to be sent and outputs the baseband signal to the control circuit.
  • the control circuit performs radio frequency processing on the baseband signal and then sends the radio frequency signal out in the form of electromagnetic waves through the antenna.
  • the control circuit receives the radio frequency signal through the antenna, converts the radio frequency signal into a baseband signal, and outputs the baseband signal to the processor.
  • the processor converts the baseband signal into data and processes the data. .
  • FIG. 7 only shows one memory and processor.
  • terminal device 700 may include multiple processors and memories.
  • the memory may also be called a storage medium or a storage device, which is not limited in this embodiment of the present invention.
  • the processor may include a baseband processor and a central processor.
  • the baseband processor is mainly used to process communication protocols and communication data.
  • the central processor is mainly used to control the entire terminal device 700. Execute software programs and process data from software programs.
  • the processor in Figure 7 integrates the functions of the baseband processor and the central processor. Those skilled in the art can understand that the baseband processor and the central processor can also be independent processors and are interconnected through technologies such as buses.
  • the terminal device 700 may include multiple baseband processors to adapt to different network standards.
  • the terminal device 700 may include multiple central processors to enhance its processing capabilities.
  • the terminal device 700 may Individual components can be connected via various buses.
  • the baseband processor can also be expressed as a baseband processing circuit or a baseband processing chip.
  • the central processing unit can also be expressed as a central processing circuit or a central processing chip.
  • the function of processing communication protocols and communication data can be built into the processor, or can be stored in the storage unit in the form of a software program, and the processor executes the software program to implement the baseband processing function.
  • the antenna and the control circuit with the transceiver function can be regarded as the transceiver unit 710 of the terminal device 700
  • the processor with the processing function can be regarded as the processing unit 720 of the terminal device 700
  • the terminal device 700 includes a transceiver unit 710 and a processing unit 720 .
  • the transceiver unit may also be called a transceiver, a transceiver, a transceiver device, etc.
  • the devices used to implement the receiving function in the transceiver unit 710 can be regarded as a receiving unit
  • the devices used in the transceiver unit 710 used to implement the transmitting function can be regarded as a transmitting unit.
  • the transceiver unit 710 includes a receiving unit and a transmitting unit.
  • the receiving unit may also be called a receiver, a receiver, a receiving circuit, etc.
  • the sending unit may be called a transmitter, a transmitter, a transmitting circuit, etc.
  • FIG. 8 is a schematic structural diagram of another communication device provided by an embodiment of the present application.
  • the communication device may be the network device described in the embodiment of the present application, and is used to implement the functions of the network device in Figure 4 above.
  • the network equipment includes: baseband device 81 , radio frequency device 82 , and antenna 83 .
  • the radio frequency device 82 receives the information sent by the terminal device through the antenna 83, and sends the information sent by the terminal device to the baseband device 81 for processing.
  • the baseband device 81 processes the information of the terminal equipment and sends it to the radio frequency device 82.
  • the radio frequency device 82 processes the information of the terminal equipment and then sends it to the terminal equipment through the antenna 83.
  • the baseband device 81 includes one or more processing units 811, a storage unit 812 and an interface 813.
  • the processing unit 811 is used to support the network device to perform the functions of the network device in the above method embodiment.
  • the storage unit 812 is used to store software programs and/or data.
  • the interface 813 is used to exchange information with the radio frequency device 82.
  • the interface includes an interface circuit for input and output of information.
  • the processing unit is an integrated circuit, such as one or more ASICs, or one or more DSPs, or one or more FPGAs, or a combination of these types of integrated circuits. These integrated circuits can be integrated together to form a chip.
  • the storage unit 812 and the processing unit 811 may be located in the same chip, that is, an on-chip storage element. Alternatively, the storage unit 812 and the processing unit 811 may be on different chips from the processing unit 811, that is, an off-chip storage element.
  • the storage unit 812 may be one memory, or may be a collective name
  • the network device may implement some or all of the steps in the above method embodiments in the form of one or more processing unit schedulers. For example, realize the corresponding functions of the network equipment in Figure 4.
  • the one or more processing units may support wireless access technologies of the same standard, or may support wireless access technologies of different standards.
  • Embodiments of the present application also provide a computer-readable storage medium. Instructions are stored in the computer-readable storage medium. When the instruction is run on a processor, the method flow of the above method embodiment is implemented.
  • An embodiment of the present application also provides a computer program product.
  • the computer program product is run on a processor, the method flow of the above method embodiment is implemented.
  • the disclosed systems, devices and methods can be implemented in other ways.
  • the device embodiments described above are only illustrative.
  • the division of the units is only a logical functional division.
  • the units described as separate components may or may not be physically separated.
  • the components shown may or may not be physical units, that is, they may be located in one place, or they may be distributed over multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
  • the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium.
  • the technical solution of the present application is essentially or the part that contributes to the existing technology or the part of the technical solution can be embodied in the form of a software product.
  • the computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application.
  • the aforementioned computer-readable storage medium can be any available medium that can be accessed by a computer.
  • computer-readable media may include random access memory (RAM), read-only memory (ROM), programmable ROM (PROM), Erasable programmable read-only memory (erasable PROM, EPROM), electrically erasable programmable read only memory (EEPROM), compact disc read-only memory (CD- ROM), universal serial bus flash disk, portable hard disk, or other optical disk storage, magnetic disk storage media, or other magnetic storage devices, or can be used to carry or store desired data in the form of instructions or data structures. program code and any other medium that can be accessed by a computer.
  • RAM random access memory
  • ROM read-only memory
  • PROM programmable ROM
  • EPROM Erasable programmable read-only memory
  • EEPROM electrically erasable programmable read only memory
  • CD- ROM compact disc read-only memory
  • universal serial bus flash disk portable hard disk, or other optical disk storage, magnetic disk storage media, or other magnetic storage devices, or can be used to carry or store desired data in the form of instructions or data structures.
  • RAM static random access memory
  • DRAM Dynamic random access memory
  • SDRAM synchronous dynamic random access memory
  • double data rate SDRAM double data rate SDRAM
  • DDR SDRAM double data rate SDRAM
  • ESDRAM enhanced synchronous dynamic random access memory Access memory
  • SLDRAM synchronous link dynamic random access memory
  • direct rambus RAM direct rambus RAM

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Abstract

本申请提供了一种信道状态信息的确定方法及相关装置，该方法包括：接入网设备向终端设备发送第一参考信号；接入网设备接收来自终端设备的第一测量信息，第一测量信息为根据第一参考信号确定的测量信息；接入网设备接收来自终端设备的第二参考信号，根据第一测量信息和第二参考信号确定信道状态信息。采用本申请的方法，可提高信道估计的准确度和精度。

Description

一种信道状态信息的确定方法及相关装置
本申请要求于2022年08月01日提交中国专利局、申请号为202210916569.7，发明名称为“一种信道状态信息的确定方法及相关装置”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及通信技术领域，尤其涉及一种信道状态信息的确定方法及相关装置。
背景技术
当前的通信系统对系统容量、频谱效率等方面有了更高的要求。例如，在第五代(fifth generation，5G)通信系统中，大规模(massive)多输入多输出(multiple input multiple output，MIMO)技术的应用对提高系统的频谱效率起到了至关重要的作用。当采用MIMO技术时，网络设备向终端设备发送数据时，需要进行调制编码及信号预编码，而网络设备如何进行调制编码及信号预编码，与下行信道状态密切相关。
在时分双工(timedivision duplex，TDD)系统中，上行信道和下行信道具有互易性，网络设备可以通过上行的探测参考信号(sounding reference signal，SRS)信道估计获取上行信道估计的结果，并将上行信道估计的结果确定为下行信道估计的结果，进而进行调制编码及信号预编码。由于无线信道的衰落特性和时变性，当终端设备的信道质量较差时现有技术难以保证信道估计的准确度和精度。如何提高在各种信道条件下提高信道估计的准确度和精度是亟待解决的问题。
发明内容
本申请提供了一种信道状态信息的确定方法及相关装置，可提高信道估计的准确度和精度。
第一方面，本申请提供了一种信道状态信息的确定方法，该方法应用于接入网设备，该方法包括：
向终端设备发送第一参考信号；
接收来自该终端设备的第一测量信息，该第一测量信息根据该第一参考信号确定；
接收来自该终端设备的第二参考信号；以及
根据该第一测量信息和该第二参考信号确定信道状态信息。
在本申请中，第一参考信号可以为CSI-RS，第二参考信号可以为SRS。具体地，接入网设备基于TDD上下行互易性，并通过终端设备反馈的第一测量信息用于辅助SRS估计，可解决SRS低信噪比下，由于上行信道估计准确度低，使得获取到的下行信道估计的准确度和精度也较低的问题，即可提高信道估计的准确度和精度。可选的，终端设备还可以基于触发的方式向接入网设备发送第一测量信息，也就是说，接入网设备可以向终端设备发送第一指示信息，该第一指示信息用于指示终端设备上报测量信息，或者，第一指示信息用于指示终端设备周期性上报测量信息。相应地，终端设备接收来自接入网设备的第一指示信息，进而响应于第一指示信息向接入网设备发送第一测量信息。
在一种可能的实现中，该第一测量信息包括第一信息和第二信息中的至少一项，该第一信息用于指示信道时延域信息，该第二信息用于指示信道的空域统计信息。
在一种可能的实现中，该信道时延域信息包括第一信道时延域稀疏性信息，该信道的空域统计信息包括信道的第一空域统计协方差矩阵。
在一种可能的实现中，该第一信道时延域稀疏性信息包括第一位图，该第一位图用于指示时延径的位置，该第一位图的长度为资源块RB数；
该信道的空域统计信息包括信道的第一空域统计协方差矩阵，包括：
该信道的空域统计信息包括该信道的各个时延径的第一空域统计协方差矩阵。
在该种实现方式中，终端设备可以向接入网设备反馈信道的各个时延径的第一空域统计协方差矩阵，有利于提高信道估计的准确度和精度。
在一种可能的实现中，该方法还包括：
向该终端设备发送第三信息，该第三信息用于划分信道时延域中的第一类时延径和第二类时延径，该第一类时延径中各个时延径的能量大于该第二类时延径中各个时延径的能量。
在该种实现方式下，接入网设备可以将第三信息携带在上述第一指示信息中发送给终端设备。其中，第一类时延径可以理解为时延强径，第二类时延径可以理解为时延弱径。
在一种可能的实现中，该第一信道时延域稀疏性信息包括第二位图，该第二位图用于指示第二类时延 径的位置，该第二位图的长度为该资源块RB数；
该信道的空域统计信息包括信道的第一空域统计协方差矩阵，包括：
该信道的空域统计信息包括该信道的该第二类时延径的第一空域统计协方差矩阵。
在该种实现方式中，终端设备只反馈第二类时延径的第一空域统计协方差矩阵(即时延弱径的第一空域统计协方差矩阵)，则可以通过更低的终端设备反馈开销提高上行信道估计的准确度和精度，进而提升基于上行信道估计确定的下行信道估计的准确度和精度。
在一种可能的实现中，该第二信息用于指示该信道的各个时延径的或该第二类时延径的第一空域统计协方差矩阵对应的特征值和特征向量矩阵。
在该种实现方式下，终端设备通过量化反馈方式(例如反馈特征值和特征向量矩阵)将各个时延径的第一空域统计协方差矩阵反馈给接入网设备，可节省反馈开销。
在一种可能的实现中，该第二信息用于指示该信道的各个时延径的或该第二类时延径的第一空域统计协方差矩阵对应的基底组合系数矩阵。
在该种实现方式下，终端设备通过量化反馈方式(例如反馈基底组合系数矩阵)将各个时延径的第一空域统计协方差矩阵反馈给接入网设备，可节省反馈开销。
在一种可能的实现中，该第一参考信号包括信道状态信息参考信号CSI-RS，该第二参考信号包括探测参考信号SRS。
在一种可能的实现中，该第一测量信息包括该第一信道时延域稀疏性信息和该信道的第一空域统计协方差矩阵；
该方法还包括：
根据该第二参考信号确定第一时延域信道信息；
确定第二时延域信道信息，该第二时延域信道信息是根据该第一信道时延域稀疏性信息和该第一时延域信道信息获得；
根据该信道的第一空域统计协方差矩阵和该第二时延域信道信息确定信道状态信息。
需要说明的是，相关技术中在TDD系统下进行上行信道估计时，用于上行信道估计的信道时延域稀疏性信息和空域统计协方差矩阵都是由接入网设备根据来自终端设备的第二参考信号(例如SRS信号)估计得到的，由于终端设备发送第二参考信号的发送功率相比于接入网设备发送第一参考信号的发送功率要低，因此，使得接入网设备基于第二参考信号进行估计得到的信道时延域稀疏性信息和空域统计协方差矩阵的精度不如终端设备基于第一参考信号估计得到的信道时延域稀疏性信息和空域统计协方差矩阵的精度，因此，采用由终端设备上报第一信道时延域稀疏性信息和第一空域统计协方差矩阵的方式，可提高信道估计的准确度和精度。
在一种可能的实现中，该第一测量信息包括该第一信道时延域稀疏性信息；
该方法还包括：
根据该第二参考信号确定第一时延域信道信息；
确定第二时延域信道信息，该第二时延域信道信息是根据该第一信道时延域稀疏性信息和该第一时延域信道信息获得；
确定第二空域统计协方差矩阵，该第二空域统计协方差矩阵根据该第二参考信号获得；
根据该第二空域统计协方差矩阵和该第二时延域信道信息确定信道状态信息。
需要说明的是，相关技术中在TDD系统下进行上行信道估计时，用于上行信道估计的信道时延域稀疏性信息和空域统计协方差矩阵都是由接入网设备根据来自终端设备的第二参考信号(例如SRS信号)估计得到的，由于终端设备发送第二参考信号的发送功率相比于接入网设备发送第一参考信号的发送功率要低，因此，使得接入网设备基于第二参考信号进行估计得到的信道时延域稀疏性信息和空域统计协方差矩阵的精度不如终端设备基于第一参考信号估计得到的信道时延域稀疏性信息和空域统计协方差矩阵的精度，因此，采用由终端设备上报第一信道时延域稀疏性信息的方式，可在一定程度上提高信道估计的准确度和精度。
在一种可能的实现中，该第一测量信息包括该信道的第一空域统计协方差矩阵；
该方法还包括：
根据该第二参考信号确定第一时延域信道信息；
确定第二信道时延域稀疏性信息，该第二信道时延域稀疏性信息是根据该第二参考信号获得；
确定第二时延域信道信息，该第二时延域信道信息是根据该第二信道时延域稀疏性信息和该第一时延 域信道信息得到；
根据该信道的第一空域统计协方差矩阵和该第二时延域信道信息确定信道状态信息。
需要说明的是，相关技术中在TDD系统下进行上行信道估计时，用于上行信道估计的信道时延域稀疏性信息和空域统计协方差矩阵都是由接入网设备根据来自终端设备的第二参考信号(例如SRS信号)估计得到的，由于终端设备发送第二参考信号的发送功率相比于接入网设备发送第一参考信号的发送功率要低，因此，使得接入网设备基于第二参考信号进行估计得到的信道时延域稀疏性信息和空域统计协方差矩阵的精度不如终端设备基于第一参考信号估计得到的信道时延域稀疏性信息和空域统计协方差矩阵的精度，因此，采用由终端设备上报第一空域统计协方差矩阵的方式，可在一定程度上提高信道估计的准确度和精度。
在一种可能的实现中，该第一信道时延域稀疏性信息为RB级粒度的信道时延域稀疏性信息；
该确定第二时延域信道信息，还包括：
根据该RB级粒度的信道时延域稀疏性信息确定资源粒子RE级粒度的信道时延域稀疏性信息；
根据该RE级粒度的信道时延域稀疏性信息和该第一时延域信道信息确定该第二时延域信道信息。
第二方面，本申请提供了一种信道状态信息的确定方法，该方法应用于终端设备，该方法包括：
接收来自接入网设备的第一参考信号；
根据该第一参考信号确定第一测量信息；
向该接入网设备发送该第一测量信息；以及
向该接入网设备发送该第二参考信号；其中，该第一测量信息和该第二参考信号用于确定信道状态信息。
在一种可能的实现中，该第一测量信息包括第一信息和第二信息中的至少一项，该第一信息用于指示信道时延域信息，该第二信息用于指示信道的空域统计信息。
在一种可能的实现中，该信道时延域信息包括第一信道时延域稀疏性信息，该信道的空域统计信息包括信道的第一空域统计协方差矩阵。
在一种可能的实现中，该第一信道时延域稀疏性信息包括第一位图，该第一位图用于指示时延径的位置，该第一位图的长度为RB数；
该信道的空域统计信息包括信道的第一空域统计协方差矩阵，包括：
该信道的空域统计信息包括该信道的各个时延径的第一空域统计协方差矩阵。
在一种可能的实现中，该方法还包括：
接收来自该接入网设备的第三信息，该第三信息用于划分信道时延域中的第一类时延径和第二类时延径，该第一类时延径中各个时延径的能量大于该第二类时延径中各个时延径的能量；
该信道的空域统计信息包括信道的第一空域统计协方差矩阵，包括：
该信道的空域统计信息包括信道的该第二类时延径的第一空域统计协方差矩阵。
在一种可能的实现中，该第一信道时延域稀疏性信息包括第二位图，该第二位图用于指示第二类时延径的位置，该第二位图的长度为该资源块RB数；
该信道的空域统计信息包括信道的第一空域统计协方差矩阵，包括：
该信道的空域统计信息包括该信道的该第二类时延径的第一空域统计协方差矩阵。
在一种可能的实现中，该第二信息用于指示该信道的各个时延径的或该第二类时延径的第一空域统计协方差矩阵对应的特征值和特征向量矩阵。
在一种可能的实现中，该第二信息用于指示该信道的各个时延径的或该第二类时延径的第一空域统计协方差矩阵对应的基底组合系数矩阵。
在一种可能的实现中，该第一参考信号包括信道状态信息参考信号CSI-RS，该第二参考信号包括探测参考信号SRS。
第三方面，本申请提供了一种通信装置，该装置为接入网设备，该装置包括：
收发单元，用于向终端设备发送第一参考信号；
该收发单元，还用于接收来自该终端设备第一测量信息，该第一测量信息根据该第一参考信号确定；
该收发单元，还用于接收来自该终端设备的第二参考信号；以及
处理单元，用于根据该第一测量信息和该第二参考信号确定信道状态信息。
在一种可能的实现中，该第一测量信息包括第一信息和第二信息中的至少一项，该第一信息用于指示信道时延域信息，该第二信息用于指示信道的空域统计信息。
在一种可能的实现中，该信道时延域信息包括第一信道时延域稀疏性信息，该信道的空域统计信息包括信道的第一空域统计协方差矩阵。
在一种可能的实现中，该第一信道时延域稀疏性信息包括第一位图，该第一位图用于指示时延径的位置，该第一位图的长度为RB数；
该信道的空域统计信息包括信道的第一空域统计协方差矩阵，包括：
该信道的空域统计信息包括该信道的各个时延径的第一空域统计协方差矩阵。
在一种可能的实现中，该收发单元还用于：
向该终端设备发送第三信息，该第三信息用于划分信道时延域中的第一类时延径和第二类时延径，该第一类时延径中各个时延径的能量大于该第二类时延径中各个时延径的能量。
在一种可能的实现中，该第一信道时延域稀疏性信息包括第二位图，该第二位图用于指示第二类时延径的位置，该第二位图的长度为该资源块RB数；
该信道的空域统计信息包括信道的第一空域统计协方差矩阵，包括：
该信道的空域统计信息包括该信道的该第二类时延径的第一空域统计协方差矩阵。
在一种可能的实现中，该第二信息用于指示该信道的各个时延径的或该第二类时延径的第一空域统计协方差矩阵对应的特征值和特征向量矩阵。
在一种可能的实现中，该第二信息用于指示该信道的各个时延径的或该第二类时延径的第一空域统计协方差矩阵对应的基底组合系数矩阵。
在一种可能的实现中，该第一参考信号包括信道状态信息参考信号CSI-RS，该第二参考信号包括探测参考信号SRS。
在一种可能的实现中，该第一测量信息包括该第一信道时延域稀疏性信息和该信道的第一空域统计协方差矩阵；
该处理单元，还用于根据该第二参考信号确定第一时延域信道信息；
该处理单元，还用于确定第二时延域信道信息，该第二时延域信道信息是根据该第一信道时延域稀疏性信息和该第一时延域信道信息获得；
该处理单元，还用于根据该信道的第一空域统计协方差矩阵和该第二时延域信道信息确定信道状态信息。
在一种可能的实现中，该第一测量信息包括该第一信道时延域稀疏性信息；
该处理单元，还用于根据该第二参考信号确定第一时延域信道信息；
该处理单元，还用于确定第二时延域信道信息，该第二时延域信道信息是根据该第一信道时延域稀疏性信息和该第一时延域信道信息获得；
该处理单元，还用于确定第二空域统计协方差矩阵，该第二空域统计协方差矩阵根据该第二参考信号获得；
该处理单元，还用于根据该第二空域统计协方差矩阵和该第二时延域信道信息确定信道状态信息。
在一种可能的实现中，该第一测量信息包括该信道的第一空域统计协方差矩阵；
该处理单元，还用于根据该第二参考信号确定第一时延域信道信息；
该处理单元，还用于确定第二信道时延域稀疏性信息，该第二信道时延域稀疏性信息是根据该第二参考信号获得；
该处理单元，还用于确定第二时延域信道信息，该第二时延域信道信息是根据该第二信道时延域稀疏性信息和该第一时延域信道信息得到；
该处理单元，还用于根据该信道的第一空域统计协方差矩阵和该第二时延域信道信息确定信道状态信息。
在一种可能的实现中，该第一信道时延域稀疏性信息为RB级粒度的信道时延域稀疏性信息；
该处理单元还用于：
根据该RB级粒度的信道时延域稀疏性信息确定资源粒子RE级粒度的信道时延域稀疏性信息；
根据该RE级粒度的信道时延域稀疏性信息和该第一时延域信道信息确定该第二时延域信道信息。
第四方面，本申请提供了一种通信装置，该装置为终端设备，该装置包括：
收发单元，用于接收来自接入网设备的第一参考信号；
处理单元，用于根据该第一参考信号确定第一测量信息；
该收发单元，还用于向该接入网设备发送该第一测量信息；
该收发单元，还用于向该接入网设备发送该第二参考信号；其中，该第一测量信息和该第二参考信号用于确定信道状态信息。
在一种可能的实现中，该第一测量信息包括第一信息和第二信息中的至少一项，该第一信息用于指示信道时延域信息，该第二信息用于指示信道的空域统计信息。
在一种可能的实现中，该信道时延域信息包括第一信道时延域稀疏性信息，该信道的空域统计信息包括信道的第一空域统计协方差矩阵。
在一种可能的实现中，该第一信道时延域稀疏性信息包括第一位图，该第一位图用于指示时延径的位置，该第一位图的长度为RB数；
该信道的空域统计信息包括信道的第一空域统计协方差矩阵，包括：
该信道的空域统计信息包括该信道的各个时延径的第一空域统计协方差矩阵。
在一种可能的实现中，该收发单元还用于：
接收来自该接入网设备的第三信息，该第三信息用于划分信道时延域中的第一类时延径和第二类时延径，该第一类时延径中各个时延径的能量大于该第二类时延径中各个时延径的能量。
在一种可能的实现中，该第一信道时延域稀疏性信息包括第二位图，该第二位图用于指示第二类时延径的位置，该第二位图的长度为该资源块RB数；
该信道的空域统计信息包括信道的第一空域统计协方差矩阵，包括：
该信道的空域统计信息包括该信道的该第二类时延径的第一空域统计协方差矩阵。
在一种可能的实现中，该第二信息用于指示该信道的各个时延径的或该第二类时延径的第一空域统计协方差矩阵对应的特征值和特征向量矩阵。
在一种可能的实现中，该第二信息用于指示该信道的各个时延径的或该第二类时延径的第一空域统计协方差矩阵对应的基底组合系数矩阵。
在一种可能的实现中，该第一参考信号包括信道状态信息参考信号CSI-RS，该第二参考信号包括探测参考信号SRS。
第五方面，本申请提供了一种通信装置，该通信装置包括处理器，该处理器用于通过逻辑电路或执行指令以实现如第一方面中任意一项的方法。
一种可能的实现中，该装置还包括收发器，用于收发信号。
一种可能的实现中，该处理器与存储器耦合，该存储器存储上述指令。
一种可能的实现中，该装置还包括存储器，用于存储上述指令。可选的，该存储器和处理器集成在一起；或者，该存储器和处理器分开设置。
第六方面，本申请提供了一种通信装置，该通信装置包括处理器，该处理器用于通过逻辑电路或执行指令以实现如第二方面中任意一项的方法。
一种可能的实现中，该装置还包括收发器，用于收发信号。
一种可能的实现中，该处理器与存储器耦合，该存储器存储上述指令。
一种可能的实现中，该装置还包括存储器，用于存储上述指令。可选的，该存储器和处理器集成在一起；或者，该存储器和处理器分开设置。
第七方面，本申请提供了一种计算机可读存储介质，存储介质中存储有计算机程序或指令，当计算机程序或指令被计算机执行时，实现如第一方面至第二方面中任意一项的方法。
第八方面，本申请提供一种包括指令的计算机程序产品，该计算机程序产品中包括计算机程序或指令，当计算机程序或指令在计算机上运行时，以实现第一方面至第二方面中任意一项的方法。
第九方面，提供一种通信系统，该通信系统包括上述第三方面所述的接入网设备和第四方面所述的终端设备。
本申请第二方面至第九方面所提供的技术方案，其有益效果可以参考第一方面所提供的技术方案的有益效果，此处不再赘述。
附图说明
图1是本申请实施例提供的通信系统的结构示意图；
图2是本申请实施例提供的基于SRS获取下行信道CSI的流程示意图；
图3是本申请实施例提供的基于UE反馈获取下行信道CSI的流程示意图；
图4是本申请实施例提供的信道状态信息的确定方法的一个交互示意图；
图5是本申请实施例提供的一种通信装置的结构示意图；
图6是本申请实施例提供的另一种通信装置的结构示意图；
图7是本申请实施例提供的另一种通信装置的结构示意图；
图8是本申请实施例提供的另一种通信装置的结构示意图。
具体实施方式
下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述。
在本申请的描述中，除非另有说明，“/”表示“或”的意思，例如，A/B可以表示A或B。本文中的“和/或”仅仅是一种描述关联对象的关联关系，表示可以存在三种关系，例如，A和/或B，可以表示：单独存在A，同时存在A和B，单独存在B这三种情况。此外，“至少一个”是指一个或多个，“多个”是指两个或两个以上。“第一”、“第二”等字样并不对数量和执行次序进行限定，并且“第一”、“第二”等字样也并不限定一定不同。
本申请中，“示例性的”或者“例如”等词用于表示作例子、例证或说明。本申请中被描述为“示例性的”或者“例如”的任何实施例或设计方案不应被解释为比其他实施例或设计方案更优选或更具优势。确切而言，使用“示例性的”或者“例如”等词旨在以具体方式呈现相关概念。
本申请实施例的技术方案可以应用于各种通信系统，例如：长期演进(long term evolution，LTE)系统、LTE频分双工(frequency division duplex，FDD)系统、LTE时分双工(time division duplex，TDD)、新无线(new radio，NR)等第五代(5th generation，5G)系统、第六代(6th generation，6G)系统等5G之后演进的系统、无线局域网(Wireless Local Area Network，WALN)等，在此不做限制。
示例性地，请参见图1，图1是本申请实施例提供的通信系统的结构示意图。如图1所示，接入网设备和终端设备1～终端设备6组成一个通信系统。在该通信系统中，终端设备1～终端设备6可以发送上行信息给接入网设备，接入网设备也可以发送下行信息给终端设备1～终端设备6。此外，终端设备4～终端设备6也可以组成一个通信系统。在该通信系统中，接入网设备可以发送下行信息给终端设备1、终端设备2、终端设备3、终端设备5等；终端设备5也可以发送下行信息给终端设备4、终端设备6。而终端设备4和终端设备6也可以通过终端设备5向接入网设备发送上行信息。
其中，本申请实施例中的终端设备，可以是一种具有无线收发功能的设备，具体可以指用户设备(user equipment，UE)、接入终端、用户单元(subscriber unit)、用户站、移动台(mobile station)、客户终端设备(customer-premises equipment，CPE)、远方站、远程终端、移动设备、用户终端、无线通信设备、用户代理或用户装置。终端设备还可以是卫星电话、蜂窝电话、智能手机、无线数据卡、无线调制解调器、机器类型通信设备、可以是无绳电话、会话启动协议(session initiation protocol，SIP)电话、无线本地环路(wireless local loop，WLL)站、个人数字处理(personal digital assistant，PDA)、具有无线通信功能的手持设备、计算设备或连接到无线调制解调器的其它处理设备、车载设备、高空飞机上搭载的通信设备、可穿戴设备、无人机、机器人、智能销售点(point of sale，POS)机、设备到设备通信(device-to-device，D2D)中的终端、车到一切(vehicle to everything，V2X)中的终端、虚拟现实(virtual reality，VR)终端设备、增强现实(augmented reality，AR)终端设备、工业控制(industrial control)中的无线终端、无人驾驶(self driving)中的无线终端、远程医疗(remote medical)中的无线终端、智能电网(smart grid)中的无线终端、运输安全(transportation safety)中的无线终端、智慧城市(smart city)中的无线终端、智慧家庭(smart home)中的无线终端或者未来通信网络中的终端设备等，本申请不作限制。
本申请实施例中，用于实现终端设备的功能的装置可以是终端设备；也可以是能够支持终端设备实现该功能的装置，例如芯片系统。该装置可以被安装在终端设备中或者和终端设备匹配使用。本申请实施例中，芯片系统可以由芯片构成，也可以包括芯片和其他分立器件。
本申请实施例中的接入网设备，可以是具有无线收发功能的设备，用于与终端设备进行通信，也可以是一种将终端设备接入到无线网络的设备。网络设备可以为无线接入网中的节点，又可以称为基站，还可以称为无线接入网(radio access network，RAN)节点(或设备)。网络设备可以是LTE中的演进型基站(evolved Node B，eNB或eNodeB)；或者5G网络中的下一代节点B(next generation node B，gNB)或者未来演进的公共陆地移动网络(public land mobile network，PLMN)中的基站，宽带网络业务网关(broadband network gateway，BNG)，汇聚交换机或者非第三代合作伙伴项目(3rd generation partnership project，3GPP)接入设备等。可选的，本申请实施例中的网络设备可以包括各种形式的基站，例如：宏基站、微基站(也称为小站)、中继站、接入点、5G之后演进的通信系统中实现基站功能的设备、WiFi系统中的接入点(access  point，AP)、传输点(transmitting and receiving point，TRP)、发射点(transmitting point，TP)、移动交换中心以及设备到设备(Device-to-Device，D2D)、车辆外联(vehicle-to-everything，V2X)、机器到机器(machine-to-machine，M2M)通信中承担基站功能的设备等，还可以包括云接入网(cloud radio access network，C-RAN)系统中的集中式单元(centralized unit，CU)和分布式单元(distributed unit，DU)、非陆地通信网络(non-terrestrial network，NTN)通信系统中的网络设备，即可以部署于高空平台或者卫星。本申请实施例对此不作具体限定。
接入网设备可以和核心网设备进行通信交互，向终端设备提供通信服务。核心网设备例如为5G网络核心网(core network，CN)中的设备。核心网作为承载网络提供到数据网络的接口，为终端提供通信连接、认证、管理、策略控制以及对数据业务完成承载等。
本申请实施例中，用于实现接入网设备的功能的装置可以是接入网设备；也可以是能够支持接入网设备实现该功能的装置，例如芯片系统。该装置可以被安装在接入网设备中或者和接入网设备匹配使用。
为便于理解本申请实施例的相关内容，下面对一些本申请方案需要用到的知识进行介绍。需要说明的是，这些解释是为了让本申请实施例更容易被理解，而不应该视为对本申请所要求的保护范围的限定。
1、上行信道估计
接入网设备从接收的来自终端设备的探测参考信号(sounding reference signal，SRS)或其他参考信号中将上行信道估计出来的过程，上行信道即从终端设备到接入网设备的信道。
2、最小二乘(least square，LS)估计
最小二乘估计，又称最小平方估计，是一种最小化待测量值与测量值误差平方和的估计方法，该方法不考虑待测量值的统计特性。
例如，对于Y＝XH+N，其中Y为接收信号，X为发送信号，H为信道矩阵，N为噪声，在已知接收信号Y和发送信号X时，信道H的LS估计的表达式为HLS＝X-1Y。
3、线性最小均方误差(linear minimum mean square error,LMMSE)估计
最小均方误差估计，是一种最小化待测量值与统计量误差平方和均值的估计方法，需要待测量值的统计特性作为先验信息。线性最小均方误差估计是最小均方误差(minimum mean square error,MMSE)估计的线性近似。
例如，对于Y＝XH+N，其中Y为接收信号，X为发送信号，H为信道矩阵，N为噪声，在已知接收信号Y和发送信号X时，信道H的LMMSE估计的表达式为HLMMSE＝RHHXH(XRHHXH+σ2I)-1Y，其中RHH＝E[HHH]为H的协方差矩阵，σ为噪声的方差，I为单位阵。另外，代入LS估计的表达式HLS＝X-1Y后，上式可化为HLMMSE＝RHH(RHH+σ2I)-1HLS。
4、时延域、波束域、频域和空域
完整的无线基带信道是一个空间和时间的函数。在时域上，信道可以表征为对应于不同时延(delay)上的信道脉冲响应。时延和空间对应的维度即时延域和空域。时延域上的信息经过离散傅里叶变换(discrete Fourier transform，DFT)变换后是频域上的信息，空域上的信息经过DFT变换后是波束域上的信息。
5、时延径
时延径是一种特定的时延样点，该时延下存在信道脉冲响应，即存在时延大小与该时延样点相近的信号路径。
6、信道的时延功率谱信息和信道的波束功率谱信息
信道的时延功率谱是以时延为横坐标，以该时延下信道总能量为纵坐标形成的曲线。信道的波束功率谱是以波束角度为横坐标，以该波束角度下信道总能量为纵坐标形成的曲线。
7、信道时延域稀疏性信息和空域统计协方差矩阵
信道时延域稀疏性信息表征在哪些时延样点下存在信道路径(即时延径)，即哪些时延样点下存在信道脉冲响应。
空域统计协方差矩阵为空域瞬时协方差矩阵经时间上的统计后获得，空域瞬时协方差矩阵为瞬时信道矩阵乘以自身的共轭矩阵。
8、基底组合系数矩阵
基底组合系数矩阵指将协方差矩阵R分解为R＝FCFH后的组合系数矩阵C，其中F为接入网设备已知的基底矩阵，该基底矩阵可以是协议预定义的一个基底矩阵，或者，是由接入网设备确定并配置给终端设备的一个基底矩阵，或者，是接入网设备和终端设备之间协商好的一个基底矩阵。基底组合系数矩阵用于通过FCFH可还原协方差矩阵R。
9、特征值和特征向量矩阵
特征值和特征向量矩阵指将协方差矩阵R进行奇异值分解R＝UCUH后的形式，其中C为特征值形成的对角矩阵，U为特征向量矩阵，U中的每一个列向量为特征向量。
10、离散傅里叶变换基底
离散傅里叶变换是傅里叶变换在时域和频域上都呈现离散的形式，将时域信号的采样变换为频域的采样。离散傅里叶变换基底即离散傅里叶变换空间的基底，即用于进行离散傅里叶变换的矩阵的列向量。
11、资源块(resource block，RB)和资源粒子(resource element，RE)
RE是最小粒度的物理层资源，频域上为1个子载波(subcarrier)，时域上为1个正交频分复用(orthogonal frequency division multiplexing，OFDM)符号。本申请涉及的对RE的描述主要指频域维度，例如RE数指在同一OFDM符号下不同频域上的RE个数。
RB是信道资源分配在频域上的基本单位，通常地，一个RB在频域上包含12个子载波，时域上通常为1个时隙。本申请涉及的对RB的描述主要指频域维度，例如RB数指在同一时隙下不同频域上的RB个数。
需要说明的是，在TDD系统中，由于上行信道和下行信道使用相同的频段，因此具有互易性。基站可以利用上下行信道的互易性，通过上行的SRS信道估计获取下行信道估计，进而根据下行信道估计确定的信道状态信息(channel state information，CSI)对下行数据进行预编码。基站和UE进行SRS估计的基本流程图如图2所示：①基站发送信道估计配置信息，以通知UE基站对SRS测量的时间和行为；②UE根据配置信息向基站发送SRS，其中SRS用于信道估计；③基站对SRS进行测量并估计信道，根据估计的CSI向UE发送数据。也就是说，基站可以根据SRS进行上行信道估计/恢复，以得到上行信道的CSI，利用TDD系统中上下行信道的互易性，将上行信道的CSI确定为下行信道的CSI，因此，基站后续可以根据下行信道的CSI进行数据发送。例如，基站可以根据下行信道CSI估计的信道确定给UE发送数据时所使用的预编码。
此外，基站也可以不利用上下行信道的互易性，而是通过UE向基站反馈下行信道CSI的预编码矩阵指示(precoding matrix indicator，PMI)。基站和UE进行CSI测量的基本流程图如图3所示。①基站向UE发送信道测量配置信息，以配置UE信道测量的时间及行为；②基站向UE发送信道状态信息参考信号(channel state information reference signal，CSI-RS)；③UE根据对CSI-RS的测量结果发送CSI，即UE对接收到的CSI-RS进行测量，并计算得到CSI反馈给基站，其中CSI包含PMI；④基站根据UE反馈的CSI进行数据发送。具体地，基站可以根据UE反馈的CSI中的PMI确定给UE发送数据时所使用的预编码。
通常来说，对于SRS信噪比较高的UE，基站使用SRS信道估计获取下行信道估计的方式(参考图2所示流程)精度也较高。例如，基站首先基于SRS发送信号和SRS接收信号进行LS估计，获取估计信道其中X为SRS发送信号，Y为SRS接收信号。
但是对于SRS信噪比较低的UE，基于SRS进行上行信道估计的准确度较低，因此使得下行信道估计的准确度也较低。此外，若终端设备直接将基于CSI-RS确定的下行信道估计结果反馈给接入网设备作为下行信道的估计值(参考图3所示流程)，由于UE需要将下行信道的估计值进行量化后反馈，受反馈的量化损失影响，接入网设备接收到的终端设备反馈的下行信道估计值的精度会受影响。
基于此，本申请提供了一种信道状态信息的确定方法及相关装置，可提高上行信道估计的准确度和精度，进而提升基于上行信道估计确定的下行信道估计的准确度和精度。
下面对本申请提供的信道状态信息的确定方法及通信装置进行详细介绍：
请参见图4，图4是本申请实施例提供的信道状态信息的确定方法的一个交互示意图。如图4所示，该信道状态信息的确定方法包括如下步骤S401～S405。图4所示的方法执行主体可以为终端设备和接入网设备。或者，图4所示的方法执行主体可以为终端设备中的芯片和接入网设备中的芯片。需要说明的是，图4是本申请的方法实施例的示意性流程图，示出了该方法的详细的通信步骤或操作，但这些步骤或操作仅是示例，本申请实施例还可以执行其它操作或者图4中的各种操作的变形。此外，图4中的各个步骤可以分别按照与图4所呈现的不同的顺序来执行，并且有可能并非要执行图4中的全部操作。图4以终端设备和接入网设备为方法的执行主体为例进行说明。其中：
S401、接入网设备向终端设备发送第一参考信号。相应地，终端设备接收来自接入网设备的第一参考信号。
其中，第一参考信号可以为CSI-RS，小区专用参考信号(cell-specific reference signal，CRS)，解调参考信号(demodulation reference signal，DMRS)，同步信号和PBCH块(synchronization signal and PBCH block，SSB)等，也可以是其他类型的参考信号，在此不做限制。
可选的，在S401之前，接入网设备可以向终端设备发送第一配置信息，第一配置信息用于配置与第一参考信号相关的信息，例如配置终端设备在哪些资源上测量第一参考信息以及如何上报测量结果。
S402、终端设备根据第一参考信号确定第一测量信息。
终端设备接收到来自接入网设备的第一参考信号之后，终端设备对第一参考信号进行信道测量并计算，以获得第一测量信息。
S403、终端设备向接入网设备发送第一测量信息。相应地，接入网设备接收来自终端设备的第一测量信息。
可选的，第一配置信息可以配置终端设备基于非周期或周期的方式向接入网设备发送第一测量信息。可理解的，接入网设备可以周期性发送第一参考信号，第一测量信息的发送周期可以等于或大于第一参考信号的发送周期。
其中，第一测量信息包括第一信息和第二信息中的至少一项。也就是说，第一测量信息包括第一信息，或者，第一测量信息包括第二信息，或者，第一测量信息包括第一信息和第二信息。
其中，第一信息用于指示信道时延域信息，第二信息用于指示信道的空域统计信息。
需要说明的是，在本申请中，“用于指示”可以包括用于直接指示和用于间接指示。当描述某一指示信息用于指示A时，可以包括该指示信息直接指示A或间接指示A，而并不代表该指示信息中一定携带有A。
将指示信息所指示的信息称为待指示信息，则具体实现过程中，对待指示信息进行指示的方式有很多种，例如但不限于，可以直接指示待指示信息，如待指示信息本身或者该待指示信息的索引等。也可以通过指示其他信息来间接指示待指示信息，其中该其他信息与待指示信息之间存在关联关系。还可以仅仅指示待指示信息的一部分，而待指示信息的其他部分则是已知的或者提前约定的。例如，还可以借助预先约定(例如协议规定)的各个信息的排列顺序来实现对特定信息的指示，从而在一定程度上降低指示开销。同时，还可以识别各个信息的通用部分并统一指示，以降低单独指示同样的信息而带来的指示开销。例如，本领域的技术人员应当明白，预编码矩阵是由预编码向量组成的，预编码矩阵中的各个预编码向量，在组成或者其他属性方面，可能存在相同的部分。
此外，具体的指示方式还可以是现有各种指示方式，例如但不限于，上述指示方式及其各种组合等。各种指示方式的具体细节可以参考现有技术，本文不再赘述。由上文所述可知，举例来说，当需要指示相同类型的多个信息时，可能会出现不同信息的指示方式不相同的情形。具体实现过程中，可以根据具体的需要选择所需的指示方式，本申请实施例对选择的指示方式不做限定，如此一来，本申请实施例涉及的指示方式应理解为涵盖可以使得待指示方获知待指示信息的各种方法。
待指示信息可以作为一个整体一起发送，也可以分成多个子信息分开发送，而且这些子信息的发送周期和/或发送时机可以相同，也可以不同。具体发送方法本申请不进行限定。其中，这些子信息的发送周期和/或发送时机可以是预先定义的，例如根据协议预先定义的，也可以是发射端设备通过向接收端设备发送配置信息来配置的。其中，该配置信息可以例如但不限于包括无线资源控制信令、介质接入控制(medium access control，MAC)层信令和物理层信令中的一种或者至少两种的组合。其中，无线资源控制信令例如包无线资源控制(radio resource control，RRC)信令；MAC层信令例如包括MAC控制元素(control element，CE)；物理层信令例如包括下行控制信息(downlink control information，DCI)。
示例性地，信道时延域信息可以为信道时延域稀疏性信息，信道的空域统计信息可以为信道的空域统计协方差矩阵。需要说明的是，在信道存在多个时延径的情况下，信道的空域统计协方差矩阵可以理解为包括多个时延径中各个时延径对应的空域统计协方差矩阵，或者，信道的空域统计协方差矩阵可以理解为包括多个时延径中部分时延径对应的空域统计协方差矩阵，其中该两种理解将在后文进行详细描述。
可选的，信道时延域信息也可以为信道的时延功率谱信息，信道的空域统计信息也可以为信道的波束功率谱信息等，在此不做限制。
可理解的，终端设备可以根据时延功率谱信息，按照能量从大到小依次选取时延径，直到选取的时延径总能量达到一定阈值时，用以表示所选取的时延径位置的信道时延域稀疏性信息。或者，终端设备根据时延功率谱信息，在各个时延径上，选取能量高于一定阈值的时延径，用以表示所选取的时延径位置的信道时延域稀疏性信息。
可理解的，终端设备可以根据波束功率谱信息获取各波束样点能量，作为对角线元素构建对角阵，即空域统计协方差矩阵的近似值。
为方便理解，以下本申请实施例主要以信道时延域信息为第一信道时延域稀疏性信息，信道的空域统 计信息为信道的第一空域统计协方差矩阵为例进行示意性说明。
第一信息用于指示信道时延域信息。在一种可能的实现方式中，第一信道时延域稀疏性信息通过第一位图的指示信息来表征，其中第一位图的长度为RB数，这里，本申请中涉及的RB数是接入网设备调度分配给终端设备的RB的数目。第一位图中的取第一值的比特位置表示时延径的位置。这里，第一值具体可以为1，也可以为0，在此不做限制。示例性地，第一位图可以表示为S，其中S＝(Si)，i＝1,2，…，NRB，Si＝{0,1}，NRB表示RB数。为方便理解，以下主要以第一值为1表示时延径所在位置为例进行示意性说明。可理解的，由于时延域上的信息经过DFT变换后是频域上的信息，因此，时延域上的时延样点的数量等于频域上的RB的数量。
举例来说，假设第一位图为1000100110，则时延径所在位置分别为第1个时延样点，第5个时延样点，第8个时延样点，第9个时延样点。其中，以下可将第1个时延样点对应的时延径描述为时延径1，将第5个时延样点对应的时延径描述为时延径5，将第8个时延样点对应的时延径描述为时延径8，将第9个时延样点对应的时延径描述为时延径9。
在另一种可能的实现方式中，第一信道时延域稀疏性信息指示信道中各个时延径的索引，例如，第一信道时延域稀疏性信息可以通过时延径的索引表征。举个例子，第一信道时延域稀疏性信息可以指示时延径索引1、时延径索引5、时延径索引8和时延径索引9。因此，根据时延径索引可确定对应的时延径，例如根据时延径索引1可确定对应的时延径1，根据时延径索引5可确定对应的时延径5，根据时延径索引8可确定对应的时延径8，根据时延径索引9可确定对应的时延径9。
在又一种可能的实现方式中，第一信道时延域稀疏性信息指示时延径的组合数，例如，第一信道时延域稀疏性信息可以通过时延径的组合数表征。举个例子，若频点数为10的信道包含4个时延径，则时延径位置的组合形式共有种，因此，根据时延径数量和时延径位置的组合序数可确定对应的时延径，例如可以约定，时延径数量为4时，第89种时延径位置组合为时延径在第1，5，8，9个时延样点。
第二信息用于指示信道的空域统计信息。在一种可能的实现方式中，第二信息通过指示特征值和特征向量矩阵的方式来指示信道的各个时延径的第一空域统计协方差矩阵，即接入网设备可以基于特征值和特征向量矩阵恢复或还原出第一空域统计协方差矩阵。
具体地，终端设备可以计算各个时延径对应的第一空域统计协方差矩阵，以时延径n(n为大于或等于1的整数)对应的第一空域统计协方差矩阵为例，其中，E表示期望函数，hn为时延径n对应的信道矩阵，Rhh,n的维度为Ntx×Ntx，Ntx为接入网设备的发射天线端口数。进一步地，终端设备可以通过量化反馈方式将时延径n的Rhh,n发送给接入网设备。例如，可以将时延径n的Rhh,n做如下特征分解：
其中为对角矩阵，该对角矩阵中对角线上的元素即特征值，为特征向量矩阵。因此，终端设备可以将分解得到的特征值和特征向量矩阵的指示信息作为第二信息反馈给接入网设备。其中，表示实数集，K表示特征值的数量，表示复数集。
可选地，针对特征向量矩阵而言，终端设备通过投影至DFT基底的方式向接入网设备反馈特征向量矩阵。这里，DFT基底即用于进行离散傅里叶变换的矩阵，投影至DFT基底即将特征向量矩阵与DFT基底矩阵相乘，相乘后的系数即投影值。因此，终端设备可以将特征向量矩阵在DFT基底上的投影值的指示信息反馈给接入网设备，或将量化后的投影值的指示信息反馈给接入网设备，接入网设备将投影值乘以DFT基底的逆矩阵即可恢复特征向量矩阵。
可选地，针对特征值而言，终端设备通过直接反馈各个时延径对应的特征值的指示信息的方式向接入网设备反馈时延径的特征值，或者，通过反馈参考特征值的指示信息和时延径的特征值与参考特征值之间的差值信息的指示信息的方式向接入网设备反馈各个时延径的特征值。其中，参考特征值是某个时延径对应的特征值中的最大特征值，或者，参考特征值是各个时延径对应的特征值中的最大值，或者，参考特征值是各个时延径对应的特征值的均值，或者，参考特征值是各个有时延径对应的特征值中的中位数等，具体根据实际应用场景确定，在此不做限制。
示例性地，假设有4个时延径，分别为时延径1，时延径5，时延径8和时延径9。其中，假设时延径1对应的特征值为{1,2,3,4}，时延径5对应的特征值为{1,3,5,6}，时延径8对应的特征值为{3,4,4,6}，时延径9对应的特征值为{2,2,3,4}。那么：
在一种实现中，终端设备直接向接入网设备反馈上述各个时延径的特征值，即反馈时延径1对应的特征值为{1,2,3,4}，时延径5对应的特征值为{1,3,5,6}，时延径8对应的特征值为{3,4,4,6}，时延径9对应的 特征值为{2,2,3,4}。
在另一种实现中，假设参考特征值分别为各个时延径的特征值中的最大值，那么针对时延径1而言，参考特征值为4，因此，终端设备可以反馈参考特征值4以及该参考特征值4与时延径1中特征值之间的差值信息，即{3,2,1,0}；针对时延径2而言，参考特征值为6，因此，终端设备可以反馈参考特征值6以及该参考特征值6与时延径5中特征值之间的差值信息，即{5,3,1,0}；针对时延径8而言，参考特征值为6，因此，终端设备可以反馈参考特征值6以及该参考特征值6与时延径8中特征值之间的差值信息，即{3,2,2,0}；针对时延径9而言，参考特征值为4，因此，终端设备可以反馈参考特征值4以及该参考特征值4与时延径9中特征值之间的差值信息，即{2,2,1,0}。
在又一种实现中，假设参考特征值为各个时延径的特征值中的最大值，那么反馈的参考特征值则为6，且针对时延径1而言，还需要反馈参考特征值与时延径1中特征值之间的差值信息，即{5,4,3,2}，针对时延径5而言，还需要反馈参考特征值与时延径5中特征值之间的差值信息，即{5,3,1,0}，针对时延径8而言，还需要反馈参考特征值与时延径8中特征值之间的差值信息，即{3,2,2,0}，针对时延径9而言，还需要反馈参考特征值与时延径9中特征值之间的差值信息，即{4,4,3,2}。
在另一种可能的实现方式中，第二信息通过指示基底组合系数矩阵的方式指示信道的各个时延径的第一空域统计协方差矩阵。因此，接入网设备可以通过第二信息指示的基底组合系数矩阵和已知的基底矩阵恢复或还原出第一空域统计协方差矩阵。其中，已知的基底矩阵可以是协议预定义的，也可以是接入网设备确定并配置给终端设备的，或接入网设备和终端设备之间协商好的。
具体地，终端设备可以计算各个时延径对应的第一空域统计协方差矩阵，例如以时延径n对应的第一空域统计协方差矩阵为Rhh,n为例，终端设备可以将时延径n的Rhh,n做如下特征分解：
Rhh,n＝FCnFH
其中是已知的基底矩阵，例如，可以为空域基底矩阵，其中空域基底矩阵的表达式为F＝Fh⊙Fv，其中，⊙表示克罗内克(Kronecker)积，Fh和Fv分别为维度为Ntxh和Ntxv的DFT矩阵，Ntxh和Ntxv分别为接入网设备天线的水平方向天线端口数和垂直方向天线端口数。为基底组合系数矩阵。因此，终端设备可以将分解得到的基底组合系数矩阵的指示信息作为第二信息反馈给接入网设备。
需要说明的是，第一信道时延域稀疏性信息通过第一位图或时延径的索引或时延径的组合数表征N个时延径(N为大于或等于1的整数)。相应地，上述信道的空域统计信息包括的是信道的N个时延径中各个时延径的第一空域统计协方差矩阵，其中，一个时延径对应一个第一空域统计协方差矩阵。
在一种应用场景中，为减小反馈开销，接入网设备可以指示终端设备仅反馈部分能量较低的时延径(即时延弱径)的空域统计协方差矩阵，而其余能量较高的时延径(即时延强径)由于信噪比也较高，因此接入网设备可以直接由接收的第二参考信号估计出对应的空域统计协方差矩阵，为方便描述，后续将接入网设备基于第二参考信号估计得到的空域统计协方差矩阵描述为第二空域统计协方差矩阵。
具体地，接入网设备可以向终端设备发送第三信息，该第三信息用于划分信道时延域中的第一类时延径和第二类时延径，第一类时延径中各个时延径的能量大于第二类时延径中各个时延径的能量。这里，第一类时延径可以描述为时延强径，第二类时延径可以描述为时延弱径。因此，终端设备接收来自接入网设备的第三信息后，终端设备可以根据第三信息确定出信道时延域中的时延强径和时延弱径，进而终端设备可以只反馈时延弱径的位置和时延弱径对应的第一空域统计协方差矩阵。
可理解的，第三信息可以携带于上述第一配置信息中，或者，第三信息也可以通过其他的信令或消息发送，在此不做限制。
在一种可能的实现方式中，第三信息可以是能量阈值的指示信息，因此当终端设备接收到该第三信息后，可以将时延径中能量大于该能量阈值的时延径确定为第一类时延径；将时延径中小于该能量阈值的时延径确定为第二类时延径；对于那些能量等于能量阈值的时延径，可以将其确定为第一类时延径或者第二类时延径，具体根据实际应用场景确定，在此不做限制。示例性地，接入网设备可以根据估计的第二参考信号信噪比确定能量阈值。
在另一种可能的实现方式中，第三信息可以是时延强径数量p或者时延弱径数量q的指示信息。例如，假设第三信息是时延强径数量p的指示信息，则终端设备接收到该第三信息后，可以将各个时延径按照能量从大到小的顺序进行排序或者按照能量从小到大的顺序进行排序，并将排序后最大的p个时延径确定为第一类时延径，将除第一类时延径之外的时延径确定为第二类时延径。又例如，假设第三信息是时延弱径数量q的指示信息，则终端设备接收到该第三信息后，可以将各个时延径按照能量从大到小的顺序进行排序或者按照能量从小到大的顺序进行排序，并将排序后最小的q个时延径确定为第二类时延径，将除第二 类时延径之外的时延径确定为第一类时延径。
需要说明的是，当第三信息为时延强径数量p的指示信息时，p的取值小于或者等于信道中各个时延径的总数量N；可选地，当p的取值大于信道中各个时延径的总数量N时，终端设备默认信道时延域中各个时延径为时延强径。当第三信息为时延弱径数量q的指示信息时，q的取值小于或者等于信道中时延径的总数量N；可选地，当q的取值大于信道中时延径的总数量N时，终端设备默认信道时延域中各个时延径为时延弱径。
在又一种可能的实现方式中，第三信息也可以是p/N或者q/N或者p/q或者q/p的指示信息。
示例性地，假设有4个时延径，分别为时延径1，时延径5，时延径8和时延径9，其中时延径1的能量为E1，时延径5的能量为E5，时延径8的能量为E8和时延径9的能量为E9。那么：
在一种实现中，假设第三信息为能量阈值的指示信息，例如能量阈值表示为E0，若终端设备确定E1，E5和E8皆大于E0，而E9小于E0，那么终端设备可以确定时延径1，时延径5和时延径8为第一类时延径，即时延强径，而时延径9为第二类时延径，即时延弱径。
在另一种实现中，假设第三信息为时延强径数量p的指示信息，其中p＝3，那么终端设备可以对上述4个时延径按照能量从大到小的顺序进行排序，假设E5＞E1＞E8＞E9，那么终端设备可以将能量最高的前3个时延径确定为时延强径，即时延强径为时延径1，时延径5，时延径8；将除能量最高的3个时延径之外的其他时延径确定为时延弱径，即时延弱径为时延径9。
在又一种实现中，假设第三信息为时延弱径数量q的指示信息，其中q＝1，那么终端设备可以对上述4个时延径按照能量从大到小的顺序进行排序，假设E5＞E1＞E8＞E9，那么终端设备可以将能量最低的1个时延径确定为时延弱径，即时延弱径为时延径9；将除能量最低的1个时延径之外的其他时延径确定为时延强径，即时延强径为时延径1，时延径5，时延径8。
在又一种实现中，假设第三信息为p/W的指示信息，例如p/W＝0.75，那么终端设备可以根据0.75确定时延强径的数量为4×0.75＝3，因此，终端设备可以对上述4个时延径按照能量从大到小的顺序进行排序，假设E5＞E1＞E8＞E9，那么终端设备可以将能量最高的前3个时延径确定为时延强径，即时延强径为时延径1，时延径5，时延径8；将除能量最高的3个时延径之外的其他时延径确定为时延弱径，即时延弱径为时延径9。
需要说明的是，当终端设备接收到来自接入网设备的第三信息，并基于第三信息确定出第一类时延径和第二类时延径后，终端设备可以只反馈时延弱径的位置和时延弱径对应的第一空域统计协方差矩阵的指示信息。
在一种实现中，当第一测量信息中包括的第一信道时延域稀疏性信息指示了信道上各个时延径的位置时，那么第一测量信息中还包括第四信息，该第四信息通过与指示了信道中各个时延径的位置的第一信道时延域稀疏性信息进行结合，进而可以确定出信道中的第二类时延径(即时延弱径)的位置。相应地，信道的空域统计信息包括信道的第一空域统计协方差矩阵理解为：信道的空域统计信息包括信道的第二类时延径的第一空域统计协方差矩阵，即信道的空域统计信息理解为仅包括信道的时延弱径上的第一空域统计协方差矩阵。
示例性地，第四信息可以通过第三位图表征，其中第三位图的长度为信道中时延径的总数量，第三位图中的取第一值的比特位置表示第一类时延径的位置，第三位图中的取第二值的比特位置表示第二类时延径的位置。也就是说，信时延弱径的位置可以通过第一位图和第三位图共同表征，其中针对第一位图的理解参见前述描述，在此不再进行赘述。
其中，第一值可以为1，第二值为0，或者，第一值为0，第二值为1，在此不做限制。为方便理解，以下主要以第一值为0，第二值为1进行示意性说明。
举个例子，假设第一位图为1000100110，则可以确定有4个时延径，分别为时延径1，时延径5，时延径8和时延径9。又假设第三位图为0001，且从左至右时延径索引依次变大，因此，可以确定时延径1，时延径5和时延径8为第一类时延径，时延径9为第二类时延径。
在另一种实现中，第一测量信息中包括的第一信道时延域稀疏性信息理解为仅指示了信道中时延弱径的位置。相应地，信道的空域统计信息包括信道的第一空域统计协方差矩阵理解为：信道的空域统计信息包括信道的第二类时延径的第一空域统计协方差矩阵，即信道的空域统计信息理解为仅包括信道的时延弱径上的第一空域统计协方差矩阵。
示例性地，当第一信道时延域稀疏性信息仅指示时延弱径的位置时，第一信道时延域稀疏性信息可以通过第二位图表征，第二位图的长度为资源块RB数，第二位图中的第一值表示第二类时延径的位置。这 里，第一值具体可以为1，也可以为0，在此不做限制。
举个例子，假设第二位图为0000000010，则时延弱径所在位置为第9个时延样点。其中，后续可将第9个时延样点对应的时延径描述为时延径9。
再示例性地，当第一信道时延域稀疏性信息仅指示时延弱径的位置时，第一信道时延域稀疏性信息可以直接包括第二类时延径的索引。相应地，信道的空域统计信息包括信道的第一空域统计协方差矩阵理解为：信道的空域统计信息包括信道的第二类时延径的第一空域统计协方差矩阵，即信道的空域统计信息理解为仅包括信道的时延弱径上的第一空域统计协方差矩阵。
举个例子，第一信道时延域稀疏性信息可以包括时延径索引9，因此，根据时延径索引可确定第二类时延径，即第二类时延径包括时延径索引9对应的时延径9。
又一个示例中，第一信道时延域稀疏性信息指示第二类时延径的组合数，例如，第一信道时延域稀疏性信息可以通过第二类时延径的组合数表征。举个例子，若频点数为10的信道包含1个第二类时延径，则第二类时延径位置的组合形式共有种，因此，根据第二类时延径数量和第二类时延径位置的组合序数可确定对应的第二类时延径，例如可以约定，第二类时延径数量为1时，第9种第二类时延径位置组合为第二类时延径在第9个时延样点。
S404、终端设备向接入网设备发送第二参考信号。相应地，接入网设备接收来自终端设备的第二参考信号。
其中，第二参考信号可以为SRS，DMRS等，在此不做限制。
可选的，在S404之前，接入网设备可以向终端设备发送第二配置信息，用于配置与第二参考信号相关的信息，例如配置终端设备在哪些资源上发送第二参考信号。可理解的，第二配置信息和第一配置信息可以承载在相同的消息中，也可以分别承载在不同的消息中。
需要说明的是，上述步骤S401-S404的编号顺序并不表示各个步骤的执行顺序。
S405、接入网设备根据第一测量信息和第二参考信号确定信道状态信息。
在前述S403中，终端设备发送的第一测量信息包括第一信息和第二信息中的至少一项。其中，以下主要以第一信息为第一信道时延域稀疏性信息，第二信息为信道的各个时延径的第一空域统计协方差矩阵或第二类时延径的第一空域统计协方差矩阵为例进行示意性说明。
在一种可能的实现方式中，当第一测量信息包括第一信道时延域稀疏性信息和信道的第一空域统计协方差矩阵时，接入网设备根据第一测量信息和第二参考信号确定信道状态信息可以理解为：接入网设备根据第二参考信号确定第一时延域信道信息，并确定第二时延域信道信息，其中第二时延域信道信息是根据第一信道时延域稀疏性信息和第一时延域信道信息获得，即接入网设备通过第一信道时延域稀疏性信息对第一时延域信道信息进行降噪处理，可以得到第二时延域信道信息。进一步地，接入网设备根据信道的第一空域统计协方差矩阵和第二时延域信道信息进行上行信道估计，并利用上下行信道的互易性，将上行信道估计的结果确定为下行信道估计结果，即将上行信道估计得到的信道状态信息确定为下行信道的信道状态信息。
其中，接入网设备根据第二参考信号确定时延域信道信息可以理解为：接入网设备对发送的第二参考信号和接收的第二参考信号进行LS估计，以得到带噪信道再将带噪信道变换至时延域，即可以获取到时延域信道信息，例如，时延径n的时延域信道信息可以表示为n＝1,2,…,NRE，NRE表示RE数。
需要说明的是，上述第一信道时延域稀疏性信息通常指示的是RB级粒度的信道时延域稀疏性信息。因此，上述确定第二时延域信道信息可以理解为：根据RB级粒度的信道时延域稀疏性信息确定RE级粒度的信道时延域稀疏性信息；根据RE级粒度的信道时延域稀疏性信息和第一时延域信道信息确定第二时延域信道信息。也就是说，上述通过第一信道时延域稀疏性信息对第一时延域信道信息进行降噪处理，得到第二时延域信道信息具体可以理解为：根据RB级粒度的信道时延域稀疏性信息确定RE级粒度的信道时延域稀疏性信息，并基于RE级粒度的信道时延域稀疏性信息对第一时延域信道信息进行降噪处理，得到第二时延域信道信息。这里，本申请实施例中的降噪处理可以理解为根据信道时延域稀疏性信息对非时延径所在位置的信道进行置零。举个例子，假设RE级粒度的信道时延域稀疏性信息为1000100110后补50个0，则保留60个时延样点中第1,5,8,9个时延样点对应的信道矩阵，其余56个时延样点上对应的信道矩阵设为0。可理解的，由于时延域上的信息经过DFT变换后是频域上的信息，因此，第二参考信号确定的时延域信道信息对应的时延样点数量等于频域上的RE数量。
其中，将RB级粒度的信道时延域稀疏性信息转换为RE级粒度的信道时延域稀疏性信息可以通过对RB级粒度的信道时延域稀疏性信息进行补0，得到RE级粒度的信道时延域稀疏性信息。可理解的，由于 第一测量信息包括的第一信道时延域稀疏性信息为RB级粒度，第二参考信号确定的时延域信道信息为RE级粒度，因此需要对第一信道时延域稀疏性信息补0后才能匹配第二参考信号确定的时延域信道信息进行降噪处理。
例如，假设RB级粒度的信道时延域稀疏性信息表示为S，其中S＝(Si)，i＝1,2，…，NRB，RE级粒度的信道时延域稀疏性信息表示为那么那么：
其中，NRB表示RB数，NRE表示RE数。
举个例子，假设RB级粒度的第一信道时延域稀疏性信息为1000100110，通过将RB级粒度的信道时延域稀疏性信息补0至RE级粒度的信道时延域稀疏性信息。例如，对于2梳分的SRS，通过在1000100110后补50个0，即可以得到RE级粒度的信道时延域稀疏性信息。其中，梳分指SRS频域资源分配成梳状结构，2梳分指每2个RE才会选择一个RE承载SRS，即总带宽为120个RE(对应10个RB)的SRS实际占据的频域资源为60个RE。
示例性地，上述接入网设备根据第一空域统计协方差矩阵和经过降噪处理后的时延域信道信息进行上行信道估计可以理解为：接入网设备通过对各个时延径对应的第一空域统计协方差矩阵和经过降噪处理后的时延域信道信息进行LMMSE估计，即可以得到各个时延径的上行估计信道。例如，以时延径n为例，接入网设备基于终端设备反馈信息获取的时延径n对应的特征向量矩阵Un与特征值cn可以恢复出时延径n对应的第一空域统计协方差矩阵为Rhh,n，并基于Rhh,n和时延域信道信息进行LMMSE估计，即可以得到时延径n对应的上行估计信道矩阵hn的LMMSE估计值：
其中，σ表示噪声的方差，I为单位阵。
可理解的，各个时延径的上行估计信道形成的集合即为完整的上行估计信道。需要说明的是，由于TDD系统具有上下行互易性，因此可以将得到的完整的上行估计信道(即上行信道估计结果)确定为下行信道估计结果。
相关技术中用于信道估计的信道时延域稀疏性信息和空域统计协方差矩阵都是由接入网设备根据接收的第二参考信号估计得到的，而在本申请实施例的该种实现方式下，信道时延域稀疏性信息(即第一信道时延域稀疏性信息)和空域统计协方差矩阵(即信道的第一空域统计协方差矩阵)皆是由终端设备上报给接入网设备的。由于终端设备发送第二参考信号的发送功率相比于接入网设备发送第一参考信号的发送功率要低，因此，使得接入网设备基于第二参考信号进行估计得到的信道时延域稀疏性信息和空域统计协方差矩阵的精度不如终端设备基于第一参考信号估计得到的信道时延域稀疏性信息和空域统计协方差矩阵的精度。基于此，本申请实施例中接入网设备根据终端设备反馈的准确度和精度更高的信道时延域稀疏性信息和空域统计协方差矩阵用于下行信道估计，有利于提高下行信道估计的精度。
在另一种可能的实现方式中，当第一测量信息包括第一信道时延域稀疏性信息时，接入网设备根据第一测量信息和第二参考信号确定信道状态信息可以理解为：接入网设备根据第二参考信号确定第一时延域信道信息，并确定第二时延域信道信息，其中第二时延域信道信息是根据第一信道时延域稀疏性信息和第一时延域信道信息获得的，或者说，通过第一信道时延域稀疏性信息对第一时延域信道信息进行降噪处理，可以得到第二时延域信道信息。进一步地，接入网设备确定第二空域统计协方差矩阵，并根据第二空域统计协方差矩阵和第二时延域信道信息进行上行信道估计，即确定信道状态信息，并利用上下行信道的互易性，将上行信道估计的结果确定为下行信道估计结果。
其中，第二空域统计协方差矩阵是根据第二参考信号获得的，更确切的说，上述第二空域统计协方差矩阵是基于第二参考信号和第一信道时延域稀疏性信息估计得到。也就是说，接入网设备可以根据第一信道时延域稀疏性信息确定出信道中的时延径，再根据第二参考信号估计出第一信道时延域稀疏性信息所指示的时延径中各个时延径所对应的第二空域统计协方差矩阵。
其中，对根据第一信道时延域稀疏性信息对时延域信道信息进行降噪处理的理解可参见前述相关描述，在此不再赘述；对根据第二空域统计协方差矩阵和第二时延域信道信息进行上行信道估计的理解可参见前述根据第一空域统计协方差矩阵和第二时延域信道信息进行上行信道估计的描述，在此也不再赘述。
需要说明的是，该种实现方式下，用于信道估计的信道时延域稀疏性信息(即第一信道时延域稀疏性信息)是由终端设备上报给接入网设备的，空域统计协方差矩阵(即第二空域统计协方差矩阵)是由接入网设备通过接收的第二参考信号估计得到的，由于终端设备发送第二参考信号的发送功率相比于接入网设 备发送第一参考信号的发送功率要低，因此，使得接入网设备基于第二参考信号进行估计得到的信道时延域稀疏性信息的精度不如终端设备基于第一参考信号估计得到的第一信道时延域稀疏性信息的精度。基于此，本申请实施例中接入网设备根据终端设备反馈的准确度更高的第一信道时延域稀疏性信息用于下行信道估计，有利于提高下行信道估计的准确度和精度。此外，由于终端设备不需要反馈空域统计协方差矩阵的指示信息，降低了空口传输的开销。
在又一种可能的实现方式中，当第一测量信息包括信道的第一空域统计协方差矩阵时，接入网设备根据第一测量信息和第二参考信号确定信道状态信息可以理解为：接入网设备根据第二参考信号确定第一时延域信道信息，以及确定第二信道时延域稀疏性信息，这里第二信道时延域稀疏性信息是根据第二参考信号获得的，即第二信道时延域稀疏性信息是通过对第二参考信号估计得到的。进一步地，确定第二时延域信道信息，其中第二时延域信道信息是根据第二信道时延域稀疏性信息和第一时延域信道信息得到，或者说，接入网设备通过基于第二信道时延域稀疏性信息对第一时延域信道信息进行降噪处理，可以得到第二时延域信道信息。再根据信道的第一空域统计协方差矩阵和第二时延域信道信息可以确定信道状态信息，即对信道的第一空域统计协方差矩阵和第二时延域信道信息进行上行信道估计，并利用上下行信道的互易性，将上行信道估计的结果确定为下行信道估计结果。
需要说明的是，本申请实施例中涉及的第二信道时延域稀疏性信息基于第二参考信号估计得到，且该第二信道时延域稀疏性信息为RE级粒度的信道时延域稀疏性信息。
其中，这里对根据第二信道时延域稀疏性信息对第一时延域信道信息进行降噪处理的理解可参见前述根据第一信道时延域稀疏性信息对第一时延域信道信息进行降噪处理相关描述，在此不再赘述。
需要说明的是，该种实现方式下，用于信道估计的空域统计协方差矩阵(即第一空域统计协方差矩阵)是由终端设备上报给接入网设备的，信道时延域稀疏性信息(即第二信道时延域稀疏性信息)是由接入网设备通过接收的第二参考信号估计得到的，由于终端设备发送第二参考信号的发送功率相比于接入网设备发送第一参考信号的发送功率要低，因此，使得接入网设备基于第二参考信号进行估计得到的空域统计协方差矩阵的精度不如终端设备基于第一参考信号估计得到的第一空域统计协方差矩阵的精度。基于此，本申请实施例中接入网设备根据终端设备反馈的准确度更高的第一空域统计协方差矩阵用于下行信道估计，有利于提高下行信道估计的准确度和精度。此外，由于终端设备不需要反馈信道时延域稀疏性信息，降低了空口传输的开销。
在本申请实施例中，接入网设备基于TDD上下行互易性，并通过终端设备反馈的第一测量信息用于辅助SRS估计，可解决SRS低信噪比下，由于上行信道估计准确度低，使得获取到的下行信道估计的准确度也较低的问题。此外，若终端设备直接将基于第一参考信号估计得到的下行信道信息反馈给接入网设备作为下行信道估计值，由于反馈的下行信道估计值具有量化损失而导致精度受影响。本申请实施例中部分利用上行信道估计(即第二参考信号)，部分利用下行信道估计(即第一测量信息)，再结合上下行信道的互易性确定的下行信道估计值，能达到较好的性能。
下面将结合图5～图8对本申请提供的通信装置进行详细说明。
请参见图5，图5是本申请实施例提供的一种通信装置的结构示意图。图5所示的通信装置可以用于执行上述图4所描述的方法实施例中终端设备的部分或全部功能。该装置可以是终端设备，也可以是终端设备中的装置，或者是能够和终端设备匹配使用的装置。其中，该通信装置还可以为芯片系统。图5所示的通信装置可以包括收发单元501和处理单元502。其中，处理单元502，用于进行数据处理。收发单元501集成有接收单元和发送单元。收发单元501也可以称为通信单元。或者，也可将收发单元501拆分为接收单元和发送单元。下文的处理单元502和收发单元501同理，下文不再赘述。其中：
收发单元501，用于接收来自接入网设备的第一参考信号；
处理单元502，用于根据所述第一参考信号确定第一测量信息；
所述收发单元501，还用于向所述接入网设备发送所述第一测量信息；
所述收发单元501，还用于向所述接入网设备发送所述第二参考信号；其中，所述第一测量信息和所述第二参考信号用于确定信道状态信息。
在一种可能的实现中，所述第一测量信息包括第一信息和第二信息中的至少一项，所述第一信息用于指示信道时延域信息，所述第二信息用于指示信道的空域统计信息。
在一种可能的实现中，所述信道时延域信息包括第一信道时延域稀疏性信息，所述信道的空域统计信息包括信道的第一空域统计协方差矩阵。
在一种可能的实现中，所述第一信道时延域稀疏性信息包括第一位图，所述第一位图用于指示时延径 的位置，所述第一位图的长度为RB数；
所述信道的空域统计信息包括信道的第一空域统计协方差矩阵，包括：
所述信道的空域统计信息包括所述信道的各个时延径的第一空域统计协方差矩阵。
在一种可能的实现中，所述收发单元501还用于：
接收来自所述接入网设备的第三信息，所述第三信息用于划分信道时延域中的第一类时延径和第二类时延径，所述第一类时延径中各个时延径的能量大于所述第二类时延径中各个时延径的能量。
在一种可能的实现中，所述第一信道时延域稀疏性信息包括第二位图，所述第二位图用于指示第二类时延径的位置，所述第二位图的长度为所述资源块RB数；
所述信道的空域统计信息包括信道的第一空域统计协方差矩阵，包括：
所述信道的空域统计信息包括所述信道的所述第二类时延径的第一空域统计协方差矩阵。
在一种可能的实现中，所述第二信息用于指示所述信道的各个时延径的或所述第二类时延径的第一空域统计协方差矩阵对应的特征值和特征向量矩阵。
在一种可能的实现中，所述第二信息用于指示所述信道的各个时延径的或所述第二类时延径的第一空域统计协方差矩阵对应的基底组合系数矩阵。
在一种可能的实现中，所述第一参考信号包括信道状态信息参考信号CSI-RS，所述第二参考信号包括探测参考信号SRS。
该通信装置的其他可能的实现方式，可参见上述图4对应的方法实施例中对终端设备功能的相关描述，在此不赘述。
请参见图6，图6是本申请实施例提供的另一种通信装置的结构示意图。图6所示的通信装置可以用于执行上述图4所描述的方法实施例中接入网设备的部分或全部功能。该装置可以是接入网设备，也可以是接入网设备中的装置，或者是能够和接入网设备匹配使用的装置。其中，该通信装置还可以为芯片系统。图6所示的通信装置可以包括收发单元601和处理单元602。其中：
收发单元601，用于向终端设备发送第一参考信号；
所述收发单元601，还用于接收来自所述终端设备第一测量信息，所述第一测量信息根据所述第一参考信号确定；
所述收发单元601，还用于接收来自所述终端设备的第二参考信号；以及
处理单元602，用于根据所述第一测量信息和所述第二参考信号用于确定信道状态信息。
在一种可能的实现中，所述第一测量信息包括第一信息和第二信息中的至少一项，所述第一信息用于指示信道时延域信息，所述第二信息用于指示信道的空域统计信息。
在一种可能的实现中，所述信道时延域信息包括第一信道时延域稀疏性信息，所述信道的空域统计信息包括信道的第一空域统计协方差矩阵。
在一种可能的实现中，所述第一信道时延域稀疏性信息包括第一位图，所述第一位图用于指示时延径的位置，所述第一位图的长度为RB数。
在一种可能的实现中，所述收发单元601还用于：
向所述终端设备发送第三信息，所述第三信息用于划分信道时延域中的第一类时延径和第二类时延径，所述第一类时延径中各个时延径的能量大于所述第二类时延径中各个时延径的能量；
所述信道的空域统计信息包括信道的第一空域统计协方差矩阵，包括：
所述信道的空域统计信息包括信道的所述第二类时延径的第一空域统计协方差矩阵。
在一种可能的实现中，所述第一信道时延域稀疏性信息包括第二位图，所述第二位图用于指示第二类时延径的位置，所述第二位图的长度为所述资源块RB数；
所述信道的空域统计信息包括信道的第一空域统计协方差矩阵，包括：
所述信道的空域统计信息包括信道的所述第二类时延径的第一空域统计协方差矩阵。
在一种可能的实现中，所述第二信息用于指示所述信道的各个时延径的或所述第二类时延径的第一空域统计协方差矩阵对应的特征值和特征向量矩阵。
在一种可能的实现中，所述第二信息通过指示基底组合系数矩阵指示所述信道的第一空域统计协方差矩阵。
在一种可能的实现中，所述第一参考信号包括信道状态信息参考信号CSI-RS，所述第二参考信号包括探测参考信号SRS。
在一种可能的实现中，所述第一测量信息包括所述第一信道时延域稀疏性信息和所述信道的第一空域 统计协方差矩阵；
所述处理单元602，还用于根据所述第二参考信号确定第一时延域信道信息；
所述处理单元602，还用于确定第二时延域信道信息，所述第二时延域信道信息是根据所述第一信道时延域稀疏性信息和所述第一时延域信道信息获得；
所述处理单元602，还用于根据所述信道的第一空域统计协方差矩阵和所述第二时延域信道信息确定信道状态信息。
在一种可能的实现中，所述第一测量信息包括所述第一信道时延域稀疏性信息；
所述处理单元602，还用于根据所述第二参考信号确定第一时延域信道信息；
所述处理单元602，还用于确定第二时延域信道信息，所述第二时延域信道信息是根据所述第一信道时延域稀疏性信息和所述第一时延域信道信息获得；
所述处理单元602，还用于确定第二空域统计协方差矩阵，所述第二空域统计协方差矩阵根据所述第二参考信号获得；
所述处理单元602，还用于根据所述第二空域统计协方差矩阵和所述第二时延域信道信息确定信道状态信息。
在一种可能的实现中，所述第一测量信息包括所述信道的第一空域统计协方差矩阵；
所述处理单元602，还用于根据所述第二参考信号确定第一时延域信道信息；
所述处理单元602，还用于确定第二信道时延域稀疏性信息，所述第二信道时延域稀疏性信息是根据所述第二参考信号获得；
所述处理单元602，还用于确定第二时延域信道信息，所述第二时延域信道信息是根据所述第二信道时延域稀疏性信息和所述第一时延域信道信息得到；
所述处理单元602，还用于根据所述信道的第一空域统计协方差矩阵和所述第二时延域信道信息确定信道状态信息。
在一种可能的实现中，所述第一信道时延域稀疏性信息为RB级粒度的信道时延域稀疏性信息；
所述处理单元602还用于：
根据所述RB级粒度的信道时延域稀疏性信息确定资源粒子RE级粒度的信道时延域稀疏性信息；
根据所述RE级粒度的信道时延域稀疏性信息和所述第一时延域信道信息确定所述第二时延域信道信息。
该通信装置的其他可能的实现方式，可参见上述图4对应的方法实施例中对接入网设备功能的相关描述，在此不赘述。
请参见图7，图7是本申请实施例提供的另一种通信装置的结构示意图。如图7所示，该通信装置可以为本申请实施例中描述的终端设备，用于实现上述图4中终端设备的功能。为了便于说明，图7仅示出了终端设备700的主要部件。如图7所示，终端设备700包括处理器、存储器、控制电路、天线以及输入输出装置。处理器主要用于对通信协议以及通信数据进行处理，以及对整个终端设备700进行控制，执行软件程序，处理软件程序的数据。存储器主要用于存储软件程序和数据。控制电路主要用于基带信号与射频信号的转换以及对射频信号的处理。天线主要用于收发电磁波形式的射频信号。输入输出装置，例如触摸屏，显示屏，麦克风，键盘等主要用于接收用户输入的数据以及对用户输出数据。
以终端设备700为手机为例，当终端设备700开机后，处理器可以读取存储单元中的软件程序，解释并执行软件程序的指令，处理软件程序的数据。当需要通过无线发送数据时，处理器对待发送的数据进行基带处理后，输出基带信号至控制电路，控制电路将基带信号进行射频处理后将射频信号通过天线以电磁波的形式向外发送。当有数据发送到终端设备700时，控制电路通过天线接收到射频信号，将射频信号转换为基带信号，并将基带信号输出至处理器，处理器将基带信号转换为数据并对该数据进行处理。
本领域技术人员可以理解，为了便于说明，图7仅示出了一个存储器和处理器。在一些实施例中，终端设备700可以包括多个处理器和存储器。存储器也可以称为存储介质或者存储设备等，本发明实施例对此不做限制。
作为一种可选的实现方式，处理器可以包括基带处理器和中央处理器，基带处理器主要用于对通信协议以及通信数据进行处理，中央处理器主要用于对整个终端设备700进行控制，执行软件程序，处理软件程序的数据。图7中的处理器集成了基带处理器和中央处理器的功能，本领域技术人员可以理解，基带处理器和中央处理器也可以是各自独立的处理器，通过总线等技术互联。终端设备700可以包括多个基带处理器以适应不同的网络制式，终端设备700可以包括多个中央处理器以增强其处理能力，终端设备700的 各个部件可以通过各种总线连接。所述基带处理器也可以表述为基带处理电路或者基带处理芯片。所述中央处理器也可以表述为中央处理电路或者中央处理芯片。对通信协议以及通信数据进行处理的功能可以内置在处理器中，也可以以软件程序的形式存储在存储单元中，由处理器执行软件程序以实现基带处理功能。
在一个例子中，可以将具有收发功能的天线和控制电路视为终端设备700的收发单元710，将具有处理功能的处理器视为终端设备700的处理单元720。如图7所示，终端设备700包括收发单元710和处理单元720。收发单元也可以称为收发器、收发机、收发装置等。可选的，可以将收发单元710中用于实现接收功能的器件视为接收单元，将收发单元710中用于实现发送功能的器件视为发送单元，即收发单元710包括接收单元和发送单元。示例性的，接收单元也可以称为接收机、接收器、接收电路等，发送单元可以称为发射机、发射器或者发射电路等。
请参见图8，图8是本申请实施例提供的另一种通信装置的结构示意图。如图8所示，该通信装置可以为本申请实施例中描述的网络设备，用于实现上述图4中网络设备的功能。该网络设备包括：基带装置81，射频装置82、天线83。在上行方向上，射频装置82通过天线83接收终端设备发送的信息，将终端设备发送的信息发送给基带装置81进行处理。在下行方向上，基带装置81对终端设备的信息进行处理，并发送给射频装置82，射频装置82对终端设备的信息进行处理后经过天线83发送给终端设备。
基带装置81包括一个或多个处理单元811，存储单元812和接口813。其中处理单元811用于支持网络设备执行上述方法实施例中网络设备的功能。存储单元812用于存储软件程序和/或数据。接口813用于与射频装置82交互信息，该接口包括接口电路，用于信息的输入和输出。在一种实现中，所述处理单元为集成电路，例如一个或多个ASIC，或，一个或多个DSP，或，一个或者多个FPGA，或者这些类集成电路的组合。这些集成电路可以集成在一起，构成芯片。存储单元812与处理单元811可以位于同一个芯片中，即片内存储元件。或者存储单元812与处理单元811也可以为与处理单元811处于不同芯片上，即片外存储元件。所述存储单元812可以是一个存储器，也可以是多个存储器或存储元件的统称。
网络设备可以通过一个或多个处理单元调度程序的形式实现上述方法实施例中的部分或全部步骤。例如实现图4中网络设备的相应的功能。所述一个或多个处理单元可以支持同一种制式的无线接入技术，也可以支持不同种制式的无线接入制式。
本申请实施例还提供一种计算机可读存储介质，该计算机可读存储介质中存储有指令，当其在处理器上运行时，上述方法实施例的方法流程得以实现。
本申请实施例还提供一种计算机程序产品，当所述计算机程序产品在处理器上运行时，上述方法实施例的方法流程得以实现。
本领域普通技术人员可以意识到，结合本文中所公开的实施例描述的各示例的单元及步骤，能够以电子硬件、或者计算机软件和电子硬件的结合来实现。这些功能究竟以硬件还是软件方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本申请的范围。
在本申请所提供的几个实施例中，应该理解到，所揭露的系统、装置和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，所述单元的划分，仅仅为一种逻辑功能划分，作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
所述功能如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本申请各个实施例所述方法的全部或部分步骤。而前述的计算机可读存储介质，可以是计算机能够存取的任何可用介质。以此为例但不限于：计算机可读介质可以包括随机存取存储器(random access memory，RAM)、只读存储器(read-only memory，ROM)、可编程只读存储器(programmable ROM，PROM)、可擦除可编程只读存储器(erasable PROM，EPROM)、电可擦可编程只读存储器(electrically erasable programmable read only memory，EEPROM)、紧凑型光盘只读存储器(compact disc read-only memory，CD-ROM)、通用串行总线闪存盘(universal serial bus flash disk)、移动硬盘、或其他光盘存储、磁盘存储介质或者其他磁存储设备、或者能够用于携带或存储具有指令或数据结构形式的期望的程序代码并能够由计算机存取的任何其他介质。另外，通过示例性但不是限制性说明，许多形式的RAM可用，例如静态随机存取存储器(static RAM，SRAM)、 动态随机存取存储器(dynamic RAM，DRAM)、同步动态随机存取存储器(synchronous DRAM，SDRAM)、双倍数据速率同步动态随机存取存储器(double data rate SDRAM，DDR SDRAM)、增强型同步动态随机存取存储器(enhanced SDRAM，ESDRAM)、同步连接动态随机存取存储器(synchlink DRAM，SLDRAM)或直接内存总线随机存取存储器(direct rambus RAM，DR RAM)。
以上所述，仅为本申请的具体实施方式，但本申请实施例的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本申请实施例揭露的技术范围内，可轻易想到变化或替换，都应涵盖在本申请实施例的保护范围之内。因此，本申请实施例的保护范围应所述以权利要求的保护范围为准。

Claims (48)

  1. 一种信道状态信息的确定方法，其特征在于，所述方法应用于接入网设备，包括：
    向终端设备发送第一参考信号；
    接收来自所述终端设备的第一测量信息，所述第一测量信息根据所述第一参考信号确定；
    接收来自所述终端设备的第二参考信号；以及
    根据所述第一测量信息和所述第二参考信号确定信道状态信息。
  2. 根据权利要求1所述的方法，其特征在于，所述第一测量信息包括第一信息和第二信息中的至少一项，所述第一信息用于指示信道时延域信息，所述第二信息用于指示信道的空域统计信息。
  3. 根据权利要求2所述的方法，其特征在于，所述信道时延域信息包括第一信道时延域稀疏性信息，所述信道的空域统计信息包括信道的第一空域统计协方差矩阵。
  4. 根据权利要求3所述的方法，其特征在于，所述第一信道时延域稀疏性信息包括第一位图，所述第一位图用于指示时延径的位置，所述第一位图的长度为资源块RB数；
    所述信道的空域统计信息包括信道的第一空域统计协方差矩阵，包括：
    所述信道的空域统计信息包括所述信道的各个时延径的第一空域统计协方差矩阵。
  5. 根据权利要求3或4所述的方法，其特征在于，所述方法还包括：
    向所述终端设备发送第三信息，所述第三信息用于划分信道时延域中的第一类时延径和第二类时延径，所述第一类时延径中各个时延径的能量大于所述第二类时延径中各个时延径的能量。
  6. 根据权利要求5所述的方法，其特征在于，所述第一信道时延域稀疏性信息包括第二位图，所述第二位图用于指示第二类时延径的位置，所述第二位图的长度为所述资源块RB数；
    所述信道的空域统计信息包括信道的第一空域统计协方差矩阵，包括：
    所述信道的空域统计信息包括所述信道的所述第二类时延径的第一空域统计协方差矩阵。
  7. 根据权利要求3-6任一项所述的方法，其特征在于，所述第二信息用于指示所述信道的各个时延径的或所述第二类时延径的第一空域统计协方差矩阵对应的特征值和特征向量矩阵。
  8. 根据权利要求3-6任一项所述的方法，其特征在于，所述第二信息用于指示所述信道的各个时延径的或所述第二类时延径的第一空域统计协方差矩阵对应的基底组合系数矩阵。
  9. 根据权利要求1-8任一项所述的方法，其特征在于，所述第一参考信号包括信道状态信息参考信号CSI-RS，所述第二参考信号包括探测参考信号SRS。
  10. 根据权利要求3-9任一项所述的方法，其特征在于，所述第一测量信息包括所述第一信道时延域稀疏性信息和所述信道的第一空域统计协方差矩阵；
    所述方法还包括：
    根据所述第二参考信号确定第一时延域信道信息；
    确定第二时延域信道信息，所述第二时延域信道信息是根据所述第一信道时延域稀疏性信息和所述第一时延域信道信息获得；
    根据所述信道的第一空域统计协方差矩阵和所述第二时延域信道信息确定信道状态信息。
  11. 根据权利要求3-9任一项所述的方法，其特征在于，所述第一测量信息包括所述第一信道时延域稀疏性信息；
    所述方法还包括：
    根据所述第二参考信号确定第一时延域信道信息；
    确定第二时延域信道信息，所述第二时延域信道信息是根据所述第一信道时延域稀疏性信息和所述第一时延域信道信息获得；
    确定第二空域统计协方差矩阵，所述第二空域统计协方差矩阵根据所述第二参考信号获得；
    根据所述第二空域统计协方差矩阵和所述第二时延域信道信息确定信道状态信息。
  12. 根据权利要求3-9任一项所述的方法，其特征在于，所述第一测量信息包括所述信道的第一空域统计协方差矩阵；
    所述方法还包括：
    根据所述第二参考信号确定第一时延域信道信息；
    确定第二信道时延域稀疏性信息，所述第二信道时延域稀疏性信息是根据所述第二参考信号获得；
    确定第二时延域信道信息，所述第二时延域信道信息是根据所述第二信道时延域稀疏性信息和所述第一时延域信道信息得到；
    根据所述信道的第一空域统计协方差矩阵和所述第二时延域信道信息确定信道状态信息。
  13. 根据权利要求10或11所述的方法，其特征在于，所述第一信道时延域稀疏性信息为RB级粒度的信道时延域稀疏性信息；
    所述确定第二时延域信道信息，还包括：
    根据所述RB级粒度的信道时延域稀疏性信息确定资源粒子RE级粒度的信道时延域稀疏性信息；
    根据所述RE级粒度的信道时延域稀疏性信息和所述第一时延域信道信息确定所述第二时延域信道信息。
  14. 一种信道状态信息的确定方法，其特征在于，所述方法应用于终端设备，包括：
    接收来自接入网设备的第一参考信号；
    根据所述第一参考信号确定第一测量信息；
    向所述接入网设备发送所述第一测量信息；以及
    向所述接入网设备发送第二参考信号；其中，所述第一测量信息和所述第二参考信号用于确定信道状态信息。
  15. 根据权利要求14所述的方法，其特征在于，所述第一测量信息包括第一信息和第二信息中的至少一项，所述第一信息用于指示信道时延域信息，所述第二信息用于指示信道的空域统计信息。
  16. 根据权利要求15所述的方法，其特征在于，所述信道时延域信息包括第一信道时延域稀疏性信息，所述信道的空域统计信息包括信道的第一空域统计协方差矩阵。
  17. 根据权利要求16所述的方法，其特征在于，所述第一信道时延域稀疏性信息包括第一位图，所述第一位图用于指示时延径的位置，所述第一位图的长度为RB数；
    所述信道的空域统计信息包括信道的第一空域统计协方差矩阵，包括：
    所述信道的空域统计信息包括所述信道的各个时延径的第一空域统计协方差矩阵。
  18. 根据权利要求16或17所述的方法，其特征在于，所述方法还包括：
    接收来自所述接入网设备的第三信息，所述第三信息用于划分信道时延域中的第一类时延径和第二类时延径，所述第一类时延径中各个时延径的能量大于所述第二类时延径中各个时延径的能量。
  19. 根据权利要求18所述的方法，其特征在于，所述第一信道时延域稀疏性信息包括第二位图，所述第二位图用于指示第二类时延径的位置，所述第二位图的长度为所述资源块RB数；
    所述信道的空域统计信息包括信道的第一空域统计协方差矩阵，包括：
    所述信道的空域统计信息包括所述信道的所述第二类时延径的第一空域统计协方差矩阵。
  20. 根据权利要求16-19任一项所述的方法，其特征在于，所述第二信息用于指示所述信道的各个时延径的或所述第二类时延径的第一空域统计协方差矩阵对应的特征值和特征向量矩阵。
  21. 根据权利要求16-19任一项所述的方法，其特征在于，所述第二信息用于指示所述信道的各个时延径的或所述第二类时延径的第一空域统计协方差矩阵对应的基底组合系数矩阵。
  22. 根据权利要求14-21任一项所述的方法，其特征在于，所述第一参考信号包括信道状态信息参考信号CSI-RS，所述第二参考信号包括探测参考信号SRS。
  23. 一种通信装置，其特征在于，所述装置为接入网设备，包括：
    收发单元，用于向终端设备发送第一参考信号；
    所述收发单元，还用于接收来自所述终端设备的第一测量信息，所述第一测量信息根据所述第一参考信号确定；
    所述收发单元，还用于接收来自所述终端设备的第二参考信号；
    处理单元，用于根据所述第一测量信息和所述第二参考信号确定信道状态信息。
  24. 根据权利要求23所述的装置，其特征在于，所述第一测量信息包括第一信息和第二信息中的至少一项，所述第一信息用于指示信道时延域信息，所述第二信息用于指示信道的空域统计信息。
  25. 根据权利要求24所述的装置，其特征在于，所述信道时延域信息包括第一信道时延域稀疏性信息，所述信道的空域统计信息包括信道的第一空域统计协方差矩阵。
  26. 根据权利要求25所述的装置，其特征在于，所述第一信道时延域稀疏性信息包括第一位图，所述第一位图用于指示时延径的位置，所述第一位图的长度为RB数；
    所述信道的空域统计信息包括信道的第一空域统计协方差矩阵，包括：
    所述信道的空域统计信息包括所述信道的各个时延径的第一空域统计协方差矩阵。
  27. 根据权利要求25或26所述的装置，其特征在于，所述收发单元还用于：
    向所述终端设备发送第三信息，所述第三信息用于划分信道时延域中的第一类时延径和第二类时延径，所述第一类时延径中各个时延径的能量大于所述第二类时延径中各个时延径的能量。
  28. 根据权利要求27所述的方法，其特征在于，所述第一信道时延域稀疏性信息包括第二位图，所述第二位图用于指示第二类时延径的位置，所述第二位图的长度为所述资源块RB数；
    所述信道的空域统计信息包括信道的第一空域统计协方差矩阵，包括：
    所述信道的空域统计信息包括所述信道的所述第二类时延径的第一空域统计协方差矩阵。
  29. 根据权利要求25-28任一项所述的装置，其特征在于，所述第二信息用于指示所述信道的各个时延径的或所述第二类时延径的第一空域统计协方差矩阵对应的特征值和特征向量矩阵。
  30. 根据权利要求25-28任一项所述的装置，其特征在于，所述第二信息用于指示所述信道的各个时延径的或所述第二类时延径的第一空域统计协方差矩阵对应的基底组合系数矩阵。
  31. 根据权利要求23-30任一项所述的装置，其特征在于，所述第一参考信号包括信道状态信息参考信号CSI-RS，所述第二参考信号包括探测参考信号SRS。
  32. 根据权利要求25-31任一项所述的装置，其特征在于，所述第一测量信息包括所述第一信道时延域稀疏性信息和所述信道的第一空域统计协方差矩阵；
    所述处理单元，用于根据所述第二参考信号确定第一时延域信道信息；
    所述处理单元，还用于确定第二时延域信道信息，所述第二时延域信道信息是根据所述第一信道时延域稀疏性信息和所述第一时延域信道信息获得；
    所述处理单元，还用于根据所述信道的第一空域统计协方差矩阵和所述第二时延域信道信息确定信道状态信息。
  33. 根据权利要求25-31任一项所述的装置，其特征在于，所述第一测量信息包括所述第一信道时延域稀疏性信息；
    所述处理单元，还用于根据所述第二参考信号确定第一时延域信道信息；
    所述处理单元，还用于确定第二时延域信道信息，所述第二时延域信道信息是根据所述第一信道时延域稀疏性信息和所述第一时延域信道信息获得；
    所述处理单元，还用于确定第二空域统计协方差矩阵，所述第二空域统计协方差矩阵根据所述第二参考信号获得；
    所述处理单元，还用于根据所述第二空域统计协方差矩阵和所述第二时延域信道信息确定信道状态信息。
  34. 根据权利要求25-31任一项所述的装置，其特征在于，所述第一测量信息包括所述信道的第一空域统计协方差矩阵；
    所述处理单元，还用于根据所述第二参考信号确定第一时延域信道信息；
    所述处理单元，还用于确定第二信道时延域稀疏性信息，所述第二信道时延域稀疏性信息是根据所述第二参考信号获得；
    所述处理单元，还用于确定第二时延域信道信息，所述第二时延域信道信息是根据所述第二信道时延域稀疏性信息和所述第一时延域信道信息得到；
    所述处理单元，还用于根据所述信道的第一空域统计协方差矩阵和所述第二时延域信道信息确定信道状态信息。
  35. 根据权利要求32或33所述的装置，其特征在于，所述第一信道时延域稀疏性信息为RB级粒度的信道时延域稀疏性信息；
    所述处理单元还用于：
    根据所述RB级粒度的信道时延域稀疏性信息确定资源粒子RE级粒度的信道时延域稀疏性信息；
    根据所述RE级粒度的信道时延域稀疏性信息和所述第一时延域信道信息确定所述第二时延域信道信息。
  36. 一种通信装置，其特征在于，所述装置为终端设备，包括：
    收发单元，用于接收来自接入网设备的第一参考信号；
    处理单元，用于根据所述第一参考信号确定第一测量信息；
    所述收发单元，还用于向所述接入网设备发送所述第一测量信息；
    所述收发单元，还用于向所述接入网设备发送第二参考信号；其中，所述第一测量信息和所述第二参考信号用于确定信道状态信息。
  37. 根据权利要求36所述的装置，其特征在于，所述第一测量信息包括第一信息和第二信息中的至少一项，所述第一信息用于指示信道时延域信息，所述第二信息用于指示信道的空域统计信息。
  38. 根据权利要求37所述的装置，其特征在于，所述信道时延域信息包括第一信道时延域稀疏性信息，所述信道的空域统计信息包括信道的第一空域统计协方差矩阵。
  39. 根据权利要求38所述的装置，其特征在于，所述第一信道时延域稀疏性信息包括第一位图，所述第一位图用于指示时延径的位置，所述第一位图的长度为RB数；
    所述信道的空域统计信息包括信道的第一空域统计协方差矩阵，包括：
    所述信道的空域统计信息包括所述信道的各个时延径的第一空域统计协方差矩阵。
  40. 根据权利要求38或39所述的装置，其特征在于，所述收发单元还用于：
    接收来自所述接入网设备的第三信息，所述第三信息用于划分信道时延域中的第一类时延径和第二类时延径，所述第一类时延径中各个时延径的能量大于所述第二类时延径中各个时延径的能量。
  41. 根据权利要求40所述的方法，其特征在于，所述第一信道时延域稀疏性信息包括第二位图，所述第二位图用于指示第二类时延径的位置，所述第二位图的长度为所述资源块RB数；
    所述信道的空域统计信息包括信道的第一空域统计协方差矩阵，包括：
    所述信道的空域统计信息包括所述信道的所述第二类时延径的第一空域统计协方差矩阵。
  42. 根据权利要求38-41任一项所述的装置，其特征在于，所述第二信息用于指示所述信道的各个时延径的或所述第二类时延径的第一空域统计协方差矩阵对应的特征值和特征向量矩阵。
  43. 根据权利要求38-41任一项所述的装置，其特征在于，所述第二信息用于指示所述信道的各个时延径的或所述第二类时延径的第一空域统计协方差矩阵对应的基底组合系数矩阵。
  44. 根据权利要求36-43任一项所述的装置，其特征在于，所述第一参考信号包括信道状态信息参考信号CSI-RS，所述第二参考信号包括探测参考信号SRS。
  45. 一种通信装置，其特征在于，包括处理器和通信接口，所述通信接口用于接收来自所述通信装置之外的其它通信装置的信号并传输至所述处理器或将来自所述处理器的信号发送给所述通信装置之外的其它通信装置，所述处理器通过逻辑电路或执行代码指令用于使得所述通信装置实现如权利要求1-13或14-22中任一项所述方法。
  46. 一种计算机可读存储介质，其特征在于，所述存储介质中存储有计算机程序或指令，当所述计算机程序或指令被计算机执行时，实现如权利要求1-13或14-22中任一项所述的方法。
  47. 一种计算机程序产品，其特征在于，包括计算机程序代码，当所述计算机程序代码在计算机上运行时，以实现权利要求1-13或14-22中任一项所述的方法。
  48. 一种芯片，其特征在于，所述芯片与存储器耦合，用于读取并执行所述存储器中存储的程序指令，以实现如权利要求1-13或14-22中任一项所述的方法。
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Publication number Priority date Publication date Assignee Title
CN107733549A (zh) * 2016-08-10 2018-02-23 华为技术有限公司 信道质量信息计算方法、装置及系统
CN111567081A (zh) * 2017-12-19 2020-08-21 三星电子株式会社 用于下一代无线系统中的波束报告的方法和装置
CN114598365A (zh) * 2020-12-01 2022-06-07 维沃移动通信有限公司 传输方法、装置、设备及可读存储介质

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107733549A (zh) * 2016-08-10 2018-02-23 华为技术有限公司 信道质量信息计算方法、装置及系统
CN111567081A (zh) * 2017-12-19 2020-08-21 三星电子株式会社 用于下一代无线系统中的波束报告的方法和装置
CN114598365A (zh) * 2020-12-01 2022-06-07 维沃移动通信有限公司 传输方法、装置、设备及可读存储介质

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