WO2021007810A1 - Procédé de précodage et dispositif de communication - Google Patents

Procédé de précodage et dispositif de communication Download PDF

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Publication number
WO2021007810A1
WO2021007810A1 PCT/CN2019/096377 CN2019096377W WO2021007810A1 WO 2021007810 A1 WO2021007810 A1 WO 2021007810A1 CN 2019096377 W CN2019096377 W CN 2019096377W WO 2021007810 A1 WO2021007810 A1 WO 2021007810A1
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WIPO (PCT)
Prior art keywords
channel information
time
precoding
matrix
transmitting end
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PCT/CN2019/096377
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English (en)
Chinese (zh)
Inventor
陈文洪
史志华
吴朝武
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Oppo广东移动通信有限公司
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Application filed by Oppo广东移动通信有限公司 filed Critical Oppo广东移动通信有限公司
Priority to PCT/CN2019/096377 priority Critical patent/WO2021007810A1/fr
Priority to CN201980054905.8A priority patent/CN112585885B/zh
Publication of WO2021007810A1 publication Critical patent/WO2021007810A1/fr

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    • 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

Definitions

  • This application relates to the field of communications, and specifically to a precoding method and communication equipment.
  • MIMO Multiple Input Multiple Output
  • network equipment can transmit symbols from multiple transmitting antennas at the same time. Although this can significantly improve spectrum efficiency, it also brings inter-channel interference (ICI). In response to this problem, network equipment can eliminate ICI through precoding technology.
  • ICI inter-channel interference
  • New Radio (NR) systems have higher requirements for transmission performance. Therefore, when the network equipment adopts the precoding technology, how to further improve the performance of the precoding is an urgent problem to be solved.
  • the embodiments of the present application provide a precoding method and communication device, which can greatly improve the performance of precoding.
  • a precoding method includes: a transmitting end acquires first channel information at a first time and second channel information at a second time, the first time and the second time Is the time before the third time, the first time is earlier than the second time; the transmitting end determines the mean square error MSE value of the channel according to the first channel information and the second channel information; The transmitting end determines third channel information at the third time based on the MSE value and the second channel information, where the third channel information is used to determine a precoding matrix.
  • a communication device which is used to execute the method in the first aspect or its implementation manners.
  • the communication device includes a functional module for executing the method in the foregoing first aspect or each of its implementation manners.
  • a communication device including a processor and a memory.
  • the memory is used to store a computer program
  • the processor is used to call and run the computer program stored in the memory to execute the method in the above-mentioned first aspect or each implementation manner thereof.
  • a device for implementing any one of the foregoing first aspect or the method in each implementation manner thereof.
  • the device includes: a processor, configured to call and run a computer program from a memory, so that the device installed with the chip executes any one of the above-mentioned first aspect or the method in each implementation manner thereof.
  • the device may be a chip.
  • a computer-readable storage medium for storing a computer program that enables a computer to execute any aspect of the above-mentioned first aspect or the method in each implementation manner thereof.
  • a computer program product including computer program instructions, which cause a computer to execute any one of the above-mentioned aspects of the first aspect or the method in each implementation manner thereof.
  • a computer program which when running on a computer, causes the computer to execute any one of the above-mentioned aspects of the first aspect or the method in each implementation manner thereof.
  • the MSE value of the two channels is calculated, and the MSE value is compensated to the channel information of the currently determined precoding matrix, so that a more accurate precoding can be constructed.
  • the coding matrix can greatly improve the performance of precoding.
  • Fig. 1 is a schematic diagram of a communication system architecture according to an embodiment of the present application.
  • Fig. 2 is a schematic flowchart of a precoding method according to an embodiment of the present application.
  • Fig. 3 is a schematic block diagram of a communication device according to an embodiment of the present application.
  • Fig. 4 is a schematic block diagram of a communication device according to an embodiment of the present application.
  • Fig. 5 is a schematic block diagram of a device according to an embodiment of the present application.
  • GSM Global System of Mobile Communication
  • CDMA Code Division Multiple Access
  • WCDMA Wideband Code Division Multiple Access
  • GPRS General Packet Radio Service
  • LTE Long Term Evolution
  • LTE-A Advanced Long Term Evolution
  • New Radio, NR evolution system of NR system
  • LTE LTE-based access to unlicensed spectrum
  • LTE-U Universal Mobile Telecommunication System
  • UMTS Universal Mobile Telecommunication System
  • WLAN Wireless Local Area Networks
  • WiFi Wireless Fidelity
  • D2D Device to Device
  • M2M Machine to Machine
  • MTC machine type communication
  • V2V vehicle to vehicle
  • the communication system in the embodiments of the present application can be applied to a carrier aggregation (Carrier Aggregation, CA) scenario, can also be applied to a dual connectivity (DC) scenario, and can also be applied to a standalone (SA) deployment.
  • CA Carrier Aggregation
  • DC dual connectivity
  • SA standalone
  • the communication system 100 applied in the embodiment of the present application is shown in FIG. 1.
  • the communication system 100 may include a network device 110, and the network device 110 may be a device that communicates with a terminal device 120 (or called a communication terminal or terminal).
  • the network device 110 may provide communication coverage for a specific geographic area, and may communicate with terminal devices located in the coverage area.
  • the network device 110 may be a base station (Base Transceiver Station, BTS) in a GSM system or a CDMA system, a base station (NodeB, NB) in a WCDMA system, or an evolved base station in an LTE system (Evolutional Node B, eNB or eNodeB), or the wireless controller in the Cloud Radio Access Network (CRAN), or the network equipment can be a mobile switching center, a relay station, an access point, a vehicle-mounted device, Wearable devices, hubs, switches, bridges, routers, network-side devices in 5G networks, or network devices in the future evolution of the Public Land Mobile Network (PLMN), etc.
  • BTS Base Transceiver Station
  • NodeB, NB base station
  • LTE Long Term Evolutional Node B
  • eNB evolved base station
  • CRAN Cloud Radio Access Network
  • the network equipment can be a mobile switching center, a relay station, an access point, a vehicle-mounted device, Wearable devices, hubs, switches
  • the communication system 100 also includes at least one terminal device 120 located within the coverage area of the network device 110.
  • the "terminal equipment” used here includes but is not limited to connection via wired lines, such as via public switched telephone networks (PSTN), digital subscriber lines (Digital Subscriber Line, DSL), digital cables, and direct cable connections ; And/or another data connection/network; and/or via a wireless interface, such as for cellular networks, wireless local area networks (WLAN), digital TV networks such as DVB-H networks, satellite networks, AM- FM broadcast transmitter; and/or another terminal device that is set to receive/send communication signals; and/or Internet of Things (IoT) equipment.
  • PSTN public switched telephone networks
  • DSL Digital Subscriber Line
  • DSL Digital Subscriber Line
  • DSL Digital Subscriber Line
  • DSL Digital Subscriber Line
  • DSL Digital Subscriber Line
  • DSL Digital Subscriber Line
  • DSL Digital Subscriber Line
  • DSL Digital Subscriber Line
  • DSL Digital Subscriber Line
  • DSL Digital Subscriber Line
  • DSL
  • a terminal device set to communicate through a wireless interface may be referred to as a "wireless communication terminal", a “wireless terminal” or a “mobile terminal”.
  • mobile terminals include, but are not limited to, satellites or cellular phones; Personal Communications System (PCS) terminals that can combine cellular radio phones with data processing, fax, and data communication capabilities; can include radio phones, pagers, Internet/intranet PDA with internet access, web browser, memo pad, calendar, and/or Global Positioning System (GPS) receiver; and conventional laptop and/or palmtop receivers or others including radio phone transceivers Electronic device.
  • PCS Personal Communications System
  • GPS Global Positioning System
  • Terminal equipment can refer to access terminals, user equipment (UE), user units, user stations, mobile stations, mobile stations, remote stations, remote terminals, mobile equipment, user terminals, terminals, wireless communication equipment, user agents, or User device.
  • the access terminal can be a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a wireless local loop (Wireless Local Loop, WLL) station, a personal digital processing (Personal Digital Assistant, PDA), with wireless communication Functional handheld devices, computing devices or other processing devices connected to wireless modems, in-vehicle devices, wearable devices, terminal devices in 5G networks, or terminal devices in the future evolution of PLMN, etc.
  • SIP Session Initiation Protocol
  • WLL Wireless Local Loop
  • PDA Personal Digital Assistant
  • the network device 110 may provide services for a cell, and the terminal device 120 communicates with the network device 110 through transmission resources (for example, frequency domain resources, or spectrum resources) used by the cell.
  • the cell may be the network device 110 (for example, a base station)
  • the corresponding cell the cell can belong to a macro base station or a base station corresponding to a small cell (Small cell).
  • the small cell here can include, for example, a metro cell, a micro cell, and a pico cell. Femto cells, etc. These small cells have the characteristics of small coverage and low transmit power, and are suitable for providing high-rate data transmission services.
  • Figure 1 exemplarily shows one network device and two terminal devices.
  • the communication system 100 may include multiple network devices and the coverage of each network device may include other numbers of terminal devices. The embodiment does not limit this.
  • the communication system 100 may also include other network entities such as a network controller and a mobility management entity, which are not limited in the embodiment of the present application.
  • network entities such as a network controller and a mobility management entity, which are not limited in the embodiment of the present application.
  • the precoding technology can be specifically understood as: when the channel state information (CSI) is known, the transmitter uses a precoding matrix that matches the channel resources to process the signal to be sent, so that the processed signal to be sent The signal is adapted to the channel to facilitate better equalization and detection of terminal equipment, thereby achieving the purpose of improving the MIMO system.
  • CSI channel state information
  • the network device in addition to using the precoding matrix to process the signal to be sent, the network device can also use other methods to process the signal to be sent.
  • linear precoding is to perform linear processing on the obtained CSI (such as a channel matrix).
  • Common linear precoding techniques may include zero-forcing (Zero-Forcing) precoding, minimum mean square error (MMSE) precoding, and block diagonalization (Block Diagonalization, BD) precoding.
  • Zero-Forcing zero-forcing
  • MMSE minimum mean square error
  • BD block diagonalization
  • DPC Dirty Paper Code
  • Modular Algebraic Precoding Tomlinson-Harashima Precoding, THP
  • VP precoding can superimpose a disturbance vector on the transmitted symbol, which can further limit the transmission power and improve the signal-to-noise ratio of the terminal equipment to obtain better performance gain.
  • VP precoding The key idea of VP precoding is that the transmitter selects an additive perturbation vector to shape the transmitted symbol, and then obtains the optimal perturbation vector through search algorithms such as spherical coding.
  • the receiving end can directly make a decision after removing the disturbance vector by the modulo operation.
  • VP precoding can achieve better performance than traditional ZF precoding technologies.
  • the receiving end can only perform independent modulo operation and the processing at the transmitting end can eliminate all MSI, VP precoding can be directly applied to the downlink of single-user systems and multi-user systems.
  • the channel used for precoding at the current moment is actually the channel estimated at a previous moment, and there may be some difference between the channel actually experienced by the transmitted symbol. error.
  • this time delay may cause a significant deterioration in VP precoding performance.
  • an embodiment of the present application proposes a precoding method, which calculates the mean square error (MSE) value of two channels, and compensates the calculated MSE value to the current used to determine the precoding matrix Therefore, the precoding performance can be greatly improved.
  • MSE mean square error
  • FIG. 2 is a schematic flowchart of a precoding method 200 according to an embodiment of the present application.
  • the transmitting end when the method 200 is used for uplink transmission, the transmitting end is a terminal device, and the terminal device may be, for example, the terminal device 120 shown in FIG. 1.
  • the transmitting end when the method 200 is used for downlink transmission, the transmitting end is a network device, and the network device may be, for example, the network device 110 shown in FIG. 1.
  • the method 200 can also be used for D2D transmission or V2V transmission.
  • the method 200 may include at least part of the following content.
  • the transmitting end obtains the first channel information at the first time and the second channel information at the second time, where the first time and the second time are the time before the third time, and the first time is earlier than the second time .
  • the channel information may include, but is not limited to, any one of the following matrices: channel matrix, channel covariance matrix, or interference covariance matrix.
  • the embodiment of the present application refers to the difference between the second time and the first time as the first time delay interval, and the difference between the third time and the second time as the second time delay interval.
  • the first delay interval and the second delay interval may be the same or different, which is not specifically limited in the embodiment of the present application.
  • the first delay interval is 2ms
  • the second delay interval is 2.5ms.
  • the transmitting end may first determine the first time and the second time, and then obtain the first channel information and the second channel information based on the first time and the second time .
  • the transmitting end may determine the first time delay interval according to the system parameters, and then the transmitting end may determine the first time and/or the second time according to the first time delay interval.
  • the term "and/or" in this article is only an association relationship describing the associated objects, indicating that there can be three types of relationships, for example, A and/or B can mean: A alone exists, and both A and B exist. , There are three cases of B alone.
  • the transmitting end determines the first time and/or the second time according to the first time delay interval, which may mean that the transmitting end first determines the first time, and then determines the second time according to the first time delay interval and the first time. Or, the transmitting end first determines the second time, and then determines the first time according to the first delay interval and the second time.
  • the system parameter may be at least one of the number of antennas at the transmitting end, the precoding granularity, and the moving speed of the terminal device.
  • the precoding granularity may be at the symbol level or may be at the physical resource block (Physical Resource Block, PRB) level.
  • PRB Physical Resource Block
  • the precoding granularity is 1 PRB.
  • the embodiment of the present application does not specifically limit the implementation manner in which the transmitting end determines the first delay interval according to system parameters.
  • Table 1 shows the optimal value of the first delay interval determined according to the system parameters. It can be seen that the system parameters in Table 1 are the number of antennas at the transmitting end, the precoding granularity and the moving speed of the terminal device.
  • the unit of the first delay interval is an orthogonal frequency division multiplexing (Orthogonal Frequency Division Multiplexing, OFDM) symbol.
  • the number of antennas at the transmitting end 4, the precoding granularity is 1PRB, and the terminal moving speed is 3km/h 25
  • the number of antennas at the transmitting end 8, the precoding granularity is 1PRB, and the terminal moving speed is 30km/h 20
  • the number of antennas at the transmitting end 8, the precoding granularity is 4PRB, and the terminal moving speed is 30km/h 20
  • the value of the first delay interval shown in Table 1 is only the optimal value of the first delay interval determined by the transmitting end according to the number of antennas at the transmitting end, the precoding granularity and the moving speed of the terminal device.
  • the delay interval may also be other values.
  • the first delay interval may be 25 OFDM symbols.
  • the transmitting end determines the MSE value of the channel according to the first channel information and the second information.
  • step 220 can determine the MSE value of the channel according to formula (1):
  • Is the first channel information Is the second channel information.
  • the transmitting end determines the third channel information at the third time based on the MSE value and the second channel information, and the third channel information may be used to determine the precoding matrix.
  • the third channel information can satisfy formula (2):
  • the third channel information can satisfy formula (3):
  • diag represents the operation of constructing a diagonal matrix using diagonal elements of the target matrix.
  • the transmitting end be a base station
  • the number of base station antennas is 8
  • the number of users is 2
  • each user is configured with 4 receiving antennas
  • the precoding granularity is 1PRB
  • Embodiment 1 Channel information is a channel matrix
  • the channel actually experienced at the current moment (that is, the third moment) be H 71 . Since the second delay interval is 35 OFDM symbols, the channel information obtained by the current base station is actually the channel H 36 experienced by the 36th OFDM symbol (that is, at the second moment). Since the precoding granularity is 1PRB, let the average channel in a resource block (Resource Block, RB) in H 36 be
  • the first delay interval and the second delay interval be the same, that is, the difference between the second time and the first time is 35 OFDM symbols.
  • the channel information obtained by the base station is actually the first OFDM symbol (That is, the average channel at the first moment), denoted as Base station utilization Calculate the MSE value of the channel with formula (1), you can get:
  • the base station can use formula (2) to compensate the calculated MSE value to Above, get the precoding matrix W at the current moment:
  • the first delay interval and the second delay interval are the same.
  • the first delay interval may also be different from the second delay interval. Since the number of base station antennas is 8, the precoding granularity is 1PRB, and assuming that the terminal equipment is moving at 3km/h, according to Table 1, the optimal first delay interval is 20 OFDM symbols, and the second delay interval is With 35 OFDM symbols, it can be seen that the first delay interval is different from the second delay interval.
  • the third moment is the 71st OFDM symbol
  • the second moment is the 36th OFDM symbol
  • the channel information obtained by the base station is actually the average channel of the 16th OFDM symbol, denoted as Base station utilization Calculate the MSE value of the channel with formula (1), you can get:
  • the base station can use formula (2) to compensate the calculated MSE value to Above, the precoding matrix W at the current moment is obtained.
  • formula (2) For details, refer to formula (5).
  • Embodiment 2 Channel information is interference covariance matrix
  • the channel information obtained by the base station at the current moment is the interference covariance matrix of other interfering users, that is, the interference covariance within one RB block of the 36th OFDM symbol.
  • the average of the variance matrix denoted as
  • the channel information obtained by the base station is the average value of the interference covariance matrix on the first OFDM symbol, namely Base station utilization And formula (1) calculate the MSE value of the channel, namely:
  • the base station can use formula (3) to compensate the calculated MSE value to the previous CSI estimation time , Get the interference covariance matrix at the current moment
  • Embodiment 3 The channel information is the channel covariance matrix
  • channel information as the channel covariance matrix can refer to the implementation of Embodiment 2.
  • the details are not repeated here.
  • the method 200 may further include: the transmitting end determines the precoding matrix according to the determined third channel information, and then precodes the transmission symbols according to the precoding matrix to obtain the precoded transmission symbols, and then transmits The end can send precoded transmission symbols to the receiving end.
  • the transmitting end may perform singular value decomposition on the channel matrix or the channel covariance matrix to obtain the precoding matrix, or the transmitting end may also obtain the precoding matrix by performing eigenvalue decomposition on the channel covariance matrix.
  • the transmitting end may determine the precoding matrix based on the ZF criterion.
  • the precoding matrix can satisfy:
  • W is the precoding matrix
  • I the channel matrix
  • the precoding matrix can satisfy:
  • the transmitting end can precode the transmitted symbols according to the precoding matrix.
  • the embodiment of the present application will take VP precoding as an example to describe the implementation manner of the network device precoding the transmitted symbols, but the present application is not limited to this.
  • the transmitter can first determine the perturbation vector based on the precoding matrix. Then, the transmitter adds perturbation to the transmitted symbol based on the perturbation vector to obtain the transmitted symbol after the perturbation is added. After that, the transmitter can add perturbation to the transmitted symbol according to the precoding matrix.
  • the perturbed transmitted symbols are pre-coded.
  • the disturbance vector l can satisfy:
  • N is the total number of data streams sent by the transmitter
  • s is the data symbol sent by the transmitter
  • ⁇ is the modulo size
  • the size of ⁇ may be related to the modulation mode adopted by the transmitting end for the data symbols.
  • the modulation mode may include binary phase shift keying (BPSK), quadrature phase shift keying (quadrature phase shift keyin, QPSK), 16 quadrature amplitude modulation (quadrature amplitude modulation, QAM), 64QAM, 256QAM and 1024QAM, etc.
  • the value of ⁇ may be different for different modulation methods.
  • ⁇ when the transmitter adopts QPSK modulation, ⁇ can be equal to 4.
  • the value of ⁇ can be determined according to a certain empirical value.
  • the value of ⁇ may be specified in the agreement.
  • the agreement stipulates that when the modulation method adopted for the data symbol is QPSK, ⁇ is equal to 4.
  • the method for solving the disturbance vector l may be a ball decoding method.
  • the transmitting end can add perturbation to the transmitted symbol based on the perturbation vector l and perform precoding.
  • the transmitted symbol x after precoding satisfies:
  • the network device may also normalize the transmission power of x.
  • the processed sending symbol is:
  • ⁇ ⁇ W(s+ ⁇ l) ⁇ 2 , It is the transmitted symbol after precoding and normalization.
  • the embodiment of this application only describes the content of the transmitting end precoding the transmitted symbols, but it does not mean that the transmitting end only performs precoding processing on the transmitting end, and the transmitting end can also modulate and layer the transmitted symbols. Mapping and other processing.
  • the MSE value of two channels is calculated, and the MSE value is used to compensate the channel information of the currently determined precoding matrix, so that a more accurate Precoding matrix, which can greatly improve the performance of precoding.
  • the size of the sequence number of the foregoing processes does not mean the order of execution.
  • the execution order of each process should be determined by its function and internal logic, and should not be implemented in this application.
  • the implementation process of the example constitutes any limitation.
  • the signal processing method according to the embodiment of the present application is described in detail above.
  • the communication device according to the embodiment of the present application will be described below in conjunction with FIG. 3 and FIG. 4.
  • the technical features described in the method embodiment are applicable to the following device embodiments.
  • FIG. 3 shows a schematic block diagram of a communication device 300 according to an embodiment of the present application.
  • the communication device 300 includes:
  • the processing unit 310 is configured to obtain first channel information at a first time and second channel information at a second time, where the first time and the second time are time before the third time, and the first time is earlier At the second moment.
  • the processing unit 310 is also configured to determine the MSE value of the channel according to the first channel information and the second channel information.
  • the processing unit 310 is further configured to determine third channel information at the third time based on the MSE value and the second channel information, where the third channel information is used to determine a precoding matrix.
  • the processing unit 310 is further configured to: determine the first moment according to at least one parameter of the number of antennas at the transmitting end, the precoding granularity, and the moving speed of the terminal device The difference between and the second moment;
  • the first time and/or the second time are determined according to the difference between the first time and the second time.
  • the MSE value satisfies the formula:
  • Is the first channel information Is the second channel information.
  • the channel information includes any one of the following: a channel matrix, a channel covariance matrix, and an interference covariance matrix.
  • the third channel information is:
  • Is the third channel information Is the second channel information.
  • the third channel information is:
  • diag represents the operation of constructing a diagonal matrix using diagonal elements of the target matrix.
  • the processing unit 310 is further configured to: determine a precoding matrix according to the third channel information; and precode the transmitted symbols according to the precoding matrix to obtain the precoding matrix. Send symbol;
  • the communication device 300 further includes: a communication unit 320, configured to send the precoded transmission symbols to the receiving end.
  • the processing unit 310 is specifically configured to: calculate a disturbance vector based on the precoding matrix; add a disturbance to the transmission symbol based on the disturbance vector to obtain the transmission after adding disturbance Symbol; according to the precoding matrix, precoding the perturbed transmitted symbols.
  • the communication device 300 may correspond to the transmitting end in the method 200, and can implement the corresponding operations of the transmitting end in the method 200. For brevity, details are not described herein again.
  • FIG. 4 is a schematic structural diagram of a communication device 400 provided by an embodiment of the present application.
  • the communication device 400 shown in FIG. 4 includes a processor 410, and the processor 410 can call and run a computer program from a memory to implement the method in the embodiment of the present application.
  • the communication device 400 may further include a memory 420.
  • the processor 410 may call and run a computer program from the memory 420 to implement the method in the embodiment of the present application.
  • the memory 420 may be a separate device independent of the processor 410, or may be integrated in the processor 410.
  • the communication device 400 may further include a transceiver 430, and the processor 410 may control the transceiver 430 to communicate with other devices. Specifically, it may send information or data to other devices, or receive other devices. Information or data sent by the device.
  • the transceiver 430 may include a transmitter and a receiver.
  • the transceiver 430 may further include an antenna, and the number of antennas may be one or more.
  • the communication device 400 may specifically be the transmitting end of the embodiment of the present application, and the communication device 400 may implement the corresponding procedures implemented by the transmitting end in the various methods of the embodiments of the present application. For brevity, details are not repeated here. .
  • Fig. 5 is a schematic structural diagram of a device according to an embodiment of the present application.
  • the apparatus 500 shown in FIG. 5 includes a processor 510, and the processor 510 can call and run a computer program from the memory to implement the method in the embodiment of the present application.
  • the apparatus 500 may further include a memory 520.
  • the processor 510 can call and run a computer program from the memory 520 to implement the method in the embodiment of the present application.
  • the memory 520 may be a separate device independent of the processor 510, or may be integrated in the processor 510.
  • the device 500 may further include an input interface 530.
  • the processor 510 can control the input interface 530 to communicate with other devices or chips, and specifically, can obtain information or data sent by other devices or chips.
  • the device 500 may further include an output interface 540.
  • the processor 510 can control the output interface 540 to communicate with other devices or chips, and specifically, can output information or data to other devices or chips.
  • the device can be applied to the transmitting end in the embodiments of the present application, and the device can implement the corresponding procedures implemented by the transmitting end in the various methods of the embodiments of the present application.
  • the device can implement the corresponding procedures implemented by the transmitting end in the various methods of the embodiments of the present application.
  • details are not described herein again.
  • the device 500 may be a chip. It should be understood that the chip mentioned in the embodiment of the present application may also be referred to as a system-level chip, a system-on-chip, a system-on-chip, or a system-on-chip, etc.
  • the processor of the embodiment of the present application may be an integrated circuit chip with signal processing capability.
  • the steps of the foregoing method embodiments can be completed by hardware integrated logic circuits in the processor or instructions in the form of software.
  • the aforementioned processor may be a general-purpose processor, a digital signal processor (Digital Signal Processor, DSP), an application specific integrated circuit (ASIC), a ready-made programmable gate array (Field Programmable Gate Array, FPGA) or other Programming logic devices, discrete gates or transistor logic devices, discrete hardware components.
  • DSP Digital Signal Processor
  • ASIC application specific integrated circuit
  • FPGA ready-made programmable gate array
  • the methods, steps, and logical block diagrams disclosed in the embodiments of the present application can be implemented or executed.
  • the general-purpose processor may be a microprocessor or the processor may also be any conventional processor or the like.
  • the steps of the method disclosed in the embodiments of the present application may be directly embodied as being executed and completed by a hardware decoding processor, or executed and completed by a combination of hardware and software modules in the decoding processor.
  • the software module can be located in a mature storage medium in the field such as random access memory, flash memory, read-only memory, programmable read-only memory, or electrically erasable programmable memory, registers.
  • the storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware.
  • the memory in the embodiment of the present application may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memory.
  • the non-volatile memory can be read-only memory (Read-Only Memory, ROM), programmable read-only memory (Programmable ROM, PROM), erasable programmable read-only memory (Erasable PROM, EPROM), and electrically available Erase programmable read-only memory (Electrically EPROM, EEPROM) or flash memory.
  • the volatile memory may be a random access memory (Random Access Memory, RAM), which is used as an external cache.
  • RAM random access memory
  • SRAM static random access memory
  • DRAM dynamic random access memory
  • DRAM synchronous dynamic random access memory
  • SDRAM double data rate synchronous dynamic random access memory
  • Double Data Rate SDRAM DDR SDRAM
  • ESDRAM enhanced synchronous dynamic random access memory
  • Synchlink DRAM SLDRAM
  • DR RAM Direct Rambus RAM
  • the memory in the embodiment of the present application may also be static random access memory (static RAM, SRAM), dynamic random access memory (dynamic RAM, DRAM), Synchronous dynamic random access memory (synchronous DRAM, SDRAM), double data rate synchronous dynamic random access memory (double data rate SDRAM, DDR SDRAM), enhanced synchronous dynamic random access memory (enhanced SDRAM, ESDRAM), synchronous connection Dynamic random access memory (synch link DRAM, SLDRAM) and direct memory bus random access memory (Direct Rambus RAM, DR RAM), etc. That is to say, the memory in the embodiment of the present application is intended to include but not limited to these and any other suitable types of memory.
  • the embodiment of the present application also provides a computer-readable storage medium for storing computer programs.
  • the computer-readable storage medium may be applied to the transmitting end in the embodiments of the present application, and the computer program causes the computer to execute the corresponding procedures implemented by the transmitting end in each method of the embodiments of the present application.
  • the computer program causes the computer to execute the corresponding procedures implemented by the transmitting end in each method of the embodiments of the present application.
  • the embodiments of the present application also provide a computer program product, including computer program instructions.
  • the computer program product can be applied to the transmitting terminal in the embodiment of the present application, and the computer program instructions cause the computer to execute the corresponding process implemented by the transmitting terminal in each method of the embodiment of the present application.
  • the computer program instructions cause the computer to execute the corresponding process implemented by the transmitting terminal in each method of the embodiment of the present application.
  • the computer program instructions cause the computer to execute the corresponding process implemented by the transmitting terminal in each method of the embodiment of the present application.
  • the embodiment of the present application also provides a computer program.
  • the computer program can be applied to the transmitting terminal in the embodiment of the present application.
  • the computer program runs on the computer, the computer executes the corresponding procedures implemented by the transmitting terminal in each method of the embodiment of the present application. For the sake of brevity , I won’t repeat it here.
  • the disclosed system, device, and method may be implemented in other ways.
  • the device embodiments described above are only illustrative.
  • the division of the units is only a logical function division, and there may be other divisions in actual implementation, for example, multiple units or components can be combined or It can be integrated into another system, or some features can be ignored or not implemented.
  • the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, and may be in electrical, mechanical or other forms.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.
  • each unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit.
  • the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium.
  • the technical solution of this application 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, and the computer software product is stored in a storage medium, including Several instructions are used to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the method described in each embodiment of the present application.
  • the aforementioned storage media include: U disk, mobile hard disk, read-only memory (Read-Only Memory,) ROM, random access memory (Random Access Memory, RAM), magnetic disk or optical disk and other media that can store program code .

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

Abstract

La présente invention concerne, selon des modes de réalisation, un procédé de précodage et un dispositif de communication. Le procédé comprend : l'obtention, par une extrémité de transmission, de premières informations de canal à un premier instant et de deuxièmes informations de canal à un deuxième instant, le premier instant et le deuxième instant précédant un troisième instant et le premier instant étant antérieur au deuxième instant ; la détermination, par l'extrémité de transmission et sur la base des premières informations de canal et des deuxièmes informations de canal, d'une valeur d'erreur quadratique moyenne (MSE) pour les canaux ; et la détermination, par l'extrémité de transmission et sur la base de la valeur MSE et des deuxièmes informations de canal, de troisièmes informations de canal au troisième instant, les troisièmes informations de canal étant utilisées pour déterminer une matrice de précodage. Le procédé de précodage et le dispositif de communication des modes de réalisation de la présente invention peuvent considérablement améliorer les performances de précodage.
PCT/CN2019/096377 2019-07-17 2019-07-17 Procédé de précodage et dispositif de communication WO2021007810A1 (fr)

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PCT/CN2019/096377 WO2021007810A1 (fr) 2019-07-17 2019-07-17 Procédé de précodage et dispositif de communication
CN201980054905.8A CN112585885B (zh) 2019-07-17 2019-07-17 预编码的方法和通信设备

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WO2022236788A1 (fr) * 2021-05-13 2022-11-17 Oppo广东移动通信有限公司 Procédé et dispositif de communication, et support de stockage
WO2023138523A1 (fr) * 2022-01-20 2023-07-27 维沃移动通信有限公司 Procédé de codage, dispositif et support de stockage lisible

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CN102611534A (zh) * 2011-01-21 2012-07-25 中兴通讯股份有限公司 一种码本变换更新的方法和系统
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CN113872650A (zh) * 2021-09-28 2021-12-31 京信网络系统股份有限公司 无线通信方法、装置、设备、系统和存储介质
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