CN111865372B - Coefficient indication method and communication device for constructing precoding matrix - Google Patents

Coefficient indication method and communication device for constructing precoding matrix Download PDF

Info

Publication number
CN111865372B
CN111865372B CN201910365436.3A CN201910365436A CN111865372B CN 111865372 B CN111865372 B CN 111865372B CN 201910365436 A CN201910365436 A CN 201910365436A CN 111865372 B CN111865372 B CN 111865372B
Authority
CN
China
Prior art keywords
csi report
weighting
weighting coefficients
terminal device
vector
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201910365436.3A
Other languages
Chinese (zh)
Other versions
CN111865372A (en
Inventor
王潇涵
金黄平
毕晓艳
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Huawei Technologies Co Ltd
Original Assignee
Huawei Technologies Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Huawei Technologies Co Ltd filed Critical Huawei Technologies Co Ltd
Priority to CN202110603660.9A priority Critical patent/CN113452419A/en
Priority to CN201910365436.3A priority patent/CN111865372B/en
Priority to PCT/CN2020/086593 priority patent/WO2020221117A1/en
Publication of CN111865372A publication Critical patent/CN111865372A/en
Application granted granted Critical
Publication of CN111865372B publication Critical patent/CN111865372B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413MIMO systems
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413MIMO systems
    • H04B7/0456Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0621Feedback content
    • H04B7/0626Channel coefficients, e.g. channel state information [CSI]

Abstract

The application provides a coefficient indication method and a communication device for constructing a precoding matrix. The method comprises the following steps: the terminal device generates and sends a CSI report to the network device. The CSI report includes K1Quantization information and first indication information of the weighting coefficients; the K is1The weighting coefficients are used for constructing a precoding matrix corresponding to one or more frequency domain units; the first indication information is used for indicating the K1Whether the weighting coefficient is the number K reported by the terminal equipment based on the preconfigured weighting coefficient0All determined weighting coefficients, K, of non-zero amplitude1≤K0,K0And K1Are all positive integers. Based on the method, the network equipment can estimate the length of the second part according to the predefined CSI report format and the first part, and then correctly decode the CSI report, thereby being beneficial to improving the transmission performance of the system.

Description

Coefficient indication method and communication device for constructing precoding matrix
Technical Field
The present application relates to the field of communications, and in particular, to a coefficient indicating method and a communication apparatus for constructing a precoding matrix.
Background
In a Massive multiple-input multiple-output (Massive MIMO) technology, a network device may reduce interference between multiple users and interference between multiple signal streams of the same user through a precoding technique. Therefore, the signal quality is improved, space division multiplexing is realized, and the frequency spectrum utilization rate is improved.
The terminal device may determine a precoding vector by channel measurement, and hopefully, the network device obtains a precoding vector that is the same as or similar to the precoding vector determined by the terminal device through feedback. In order to obtain a higher feedback accuracy, the terminal device may fit the precoding vector determined through channel measurement by means of multiple beam weights. The terminal device may feed back the beams used for weighting and the weighting coefficients to the network device, so that the network device constructs a precoding matrix based on the feedback of the terminal device.
However, in some cases, a Channel State Information (CSI) report reported by a terminal device may not necessarily include all information to be fed back, which is determined through channel measurement. For example, the weighting factor reported by the terminal device may be a part of all weighting factors with non-zero amplitudes. However, if the network device cannot know in advance which information is reported by the terminal device, the overhead of the second part of the CSI report may not be accurately estimated, and thus the CSI report cannot be decoded correctly. Therefore, the network device may not be able to accurately acquire the information in the CSI report, thereby affecting the system transmission performance.
Disclosure of Invention
The application provides a coefficient indicating method and a communication device for constructing a precoding matrix, so as to clarify how to indicate the number of weighting coefficients in a CSI report.
In a first aspect, a method for indicating coefficients for constructing a precoding matrix is provided. Specifically, the method comprises the following steps: the terminal equipment generates a Channel State Information (CSI) report which comprises K1Quantization information and first indication information of the weighting coefficients; wherein, K is1The weighting coefficients being weighting coefficients of non-zero amplitude, K1The weighting coefficients are used for constructing a precoding matrix corresponding to one or more frequency domain units; the first indication information is used for indicating the K1Whether a weighting coefficient is the base of the terminal equipmentReporting number K on pre-configured weighting coefficient0All the determined weighting coefficients with non-zero amplitude are determined, and the terminal equipment is based on K0The determined number of all the weighting coefficients with nonzero amplitude is K2,K1≤K2≤K0,K0、K1And K2Are all positive integers; the terminal equipment sends the CSI report
It should be understood that the method may be performed by the terminal device, or alternatively, may be performed by a chip configured in the terminal device. This is not a limitation of the present application.
Based on the method, the terminal device indicates whether the weighting coefficient reported by the terminal device is based on K or not by carrying the first indication information in the CSI report0And all the weighting coefficients with nonzero amplitudes determined by the channel measurement, so that the network equipment can determine the K reported by the terminal equipment based on the CSI report1A weighting factor and determining whether the reported weighting factor is based on K0And all non-zero amplitude weighting coefficients determined by the channel measurements. Based on this, the network device may parse the first part of the CSI report according to the predefined format of the CSI report, and estimate the length of the second part of the CSI report, thereby completing correct decoding of the second part of the CSI report. The network device can thus determine the precoding matrix for data transmission based on the information in the CSI report, thus facilitating improved system transmission performance.
In addition, the network device knows whether the terminal device discards the weighting coefficient, and may also consider allocating more physical uplink resources for the terminal device in the next scheduling for transmitting the CSI report. On the contrary, if the network device does not know that the terminal device discards a part of weighting coefficients with nonzero amplitudes when reporting the CSI report, the network device does not infer that the physical uplink resources allocated to the terminal device during the scheduling are insufficient. During the next scheduling, the terminal device may still be allocated with the same size of resources, and each time the terminal device reports, a part of weighting coefficients with nonzero amplitudes may be discarded. This may seriously affect the feedback accuracy, which is disadvantageousAnd the data transmission performance is improved. In this embodiment, the network device may determine, according to the first indication information, whether the physical uplink resource allocated to the terminal device in the last scheduling is sufficient, that is, the network device may obtain information, such as K, based on the information obtained in the last scheduling in the next scheduling2And allocating appropriate physical uplink resources for the terminal equipment. Therefore, the feedback precision is improved, and the transmission performance is improved.
With reference to the first aspect, in some possible implementations of the first aspect, the method further includes: the terminal equipment receives second indication information, wherein the second indication information is used for indicating the number K of the weight coefficient reports configured for the terminal equipment0
The network device reports the number of weighting coefficients preconfigured for the terminal device, that is, the maximum number of weighting coefficients reported by the terminal device, or the maximum number of weighting coefficients reported by the terminal device. The network device may indicate the maximum reporting number of the weighting coefficients in advance for the terminal device through a high-level signaling.
In a second aspect, a method for indicating coefficients for constructing a precoding matrix is provided. Specifically, the method comprises the following steps: the network equipment receives a CSI report which comprises K1Quantization information and first indication information of the weighting coefficients; wherein, K is1The weighting coefficients being weighting coefficients of non-zero amplitude, K1The weighting coefficients are used for constructing a precoding matrix corresponding to one or more frequency domain units; the first indication information is used for indicating the K1Whether the weighting coefficient is the number K reported by the terminal equipment based on the preconfigured weighting coefficient0All the determined weighting coefficients with non-zero amplitude are determined, and the terminal equipment is based on K0The determined number of all the weighting coefficients with nonzero amplitude is K2,K1≤K2≤K0,K0、K1And K2Are all positive integers; the network device determines the K according to the CSI report1A weighting coefficient and the K1Whether the weighting coefficient is the number K reported by the terminal equipment based on the pre-configured weighting coefficient0All non-zero additions of determined amplitudesA weight coefficient.
It should be understood that the method may be performed by the network device, or may be performed by a chip configured in the network device. This is not a limitation of the present application.
Based on the method, the terminal device indicates whether the weighting coefficient reported by the terminal device is based on K or not by carrying the first indication information in the CSI report0And all the weighting coefficients with nonzero amplitudes determined by the channel measurement, so that the network equipment can determine the K reported by the terminal equipment based on the CSI report1A weighting factor and determining whether the reported weighting factor is based on K0And all non-zero amplitude weighting coefficients determined by the channel measurements. Based on this, the network device may parse the first part of the CSI report according to the predefined format of the CSI report, and estimate the length of the second part of the CSI report, thereby completing correct decoding of the second part of the CSI report. The network device can thus determine the precoding matrix for data transmission based on the information in the CSI report, thus facilitating improved system transmission performance.
In addition, the network device knows whether the terminal device discards the weighting coefficient, and may also consider allocating more physical uplink resources for the terminal device in the next scheduling for transmitting the CSI report. On the contrary, if the network device does not know that the terminal device discards a part of weighting coefficients with nonzero amplitudes when reporting the CSI report, the network device does not infer that the physical uplink resources allocated to the terminal device during the scheduling are insufficient. During the next scheduling, the terminal device may still be allocated with the same size of resources, and each time the terminal device reports, a part of weighting coefficients with nonzero amplitudes may be discarded. This may seriously affect the feedback accuracy, which is not favorable for improving the data transmission performance. In this embodiment, the network device may determine, according to the first indication information, whether the physical uplink resource allocated to the terminal device in the last scheduling is sufficient, that is, the network device may obtain information, such as K, based on the information obtained in the last scheduling in the next scheduling2And allocating appropriate physical uplink resources for the terminal equipment. Thus, it is advantageousThe feedback precision is improved, and the transmission performance is favorably improved.
With reference to the second aspect, in some possible implementations of the second aspect, the method further includes: the network equipment sends second indication information, and the second indication information is used for indicating the number K of the weight coefficient reports configured for the terminal equipment0
The network device reports the number of weighting coefficients preconfigured for the terminal device, that is, the maximum number of weighting coefficients reported by the terminal device, or the maximum number of weighting coefficients reported by the terminal device. The network device may indicate the maximum reporting number of the weighting coefficients in advance for the terminal device through a high-level signaling.
With reference to the first aspect or the second aspect, in some possible implementations, the first indication information includes K1And K2Is indicated.
By indicating K1And K2Can be according to K1And K2Determining K1Whether the weighting coefficient is the number K reported by the terminal equipment based on the preconfigured weighting coefficient0All determined weighting coefficients with non-zero amplitudes. If K1<K2Then, it represents K1The weighting coefficient is not the number K reported by the terminal equipment based on the pre-configured weighting coefficient0All determined weighting coefficients with non-zero amplitude, or K, are discarded by the terminal device2Some of the weighting coefficients having non-zero amplitudes. If K1=K2Then, it represents K1The weighting coefficient is the number K reported by the terminal equipment based on the pre-configured weighting coefficient0All determined weighting coefficients with non-zero amplitude, or K not discarded by the terminal device2Any one of the weighting coefficients having a non-zero magnitude.
And, by indicating K2The network device may base on this K at the next scheduling2The value of (2) is used for allocating physical uplink resources for the terminal equipment so as to obtain more comprehensive feedback information in the next feedback, thereby being beneficial to improving the transmission performance of the system.
OptionallyK is the same as2Is carried in the first part of the CSI report, the K1Is carried in the second part of the CSI report.
The K is2The value of (c) may be indicated, for example, by a binary number, or by other existing possible indication means. The K is1The value of (c) may also be indicated, for example, by a binary number, or may be indicated by a bitmap, or by other existing possible indication means. For K in this application1And K2The specific indication of (3) is not limited.
With reference to the first aspect or the second aspect, in some possible implementations, the first indication information includes a first indication bit, and the first indication bit is used to indicate the K1Whether the weighting coefficient is the number K reported by the terminal equipment based on the pre-configured weighting coefficient0All determined weighting coefficients with non-zero amplitudes.
For example, the overhead of the first indication bit may be 1 bit. The 1 bit may be used to indicate yes or no. For example, when the first indication bit is "0", it indicates that K is1The weighting coefficient is the number K reported by the terminal equipment based on the preconfigured weighting coefficient0All weighting coefficients determined to be non-zero in magnitude, i.e. the terminal device does not discard the K2Any one of the weighting coefficients; when the first indication bit is set to '1', it indicates that K is1The weighting coefficient is not the number K reported by the terminal equipment based on the pre-configured weighting coefficient0All determined weighting coefficients with non-zero amplitude, i.e. the terminal device discards the K2Some of the weighting coefficients.
It should be understood that the meaning represented by the different values in the first indication bit may be determined according to a preset rule, and the meaning corresponding to the different values is not limited in the present application.
Optionally, the first indication bit is carried in a second part of the CSI report.
With reference to the first aspect or the second aspect, in some possible implementations, the first indication information includes a second indication bit, and the first indication bit is a first indication bitTwo indicating bit indication K2And the number of weighting coefficients which do not pass the CSI report in the weighting coefficients.
The second indicator bit may indicate by more indicator bits whether and how many weighting coefficients have been discarded by the terminal device at the same time.
Optionally, the overhead of the second indication bit is
Figure BDA0002047990790000041
Bit, with K0-K1+1 optional values correspond; wherein, K0Reporting a number, K, for a preconfigured weighting factor0Is a positive integer; the K is0-K1The +1 selectable values include K which is the number of weighting coefficients not reported by the CSI report0-K1+1 possible values.
The reporting number of the weighting coefficients pre-configured by the network equipment is K0The number of weighting coefficients actually reported by the terminal equipment is K1So that the number of the weight coefficients discarded by the terminal equipment does not exceed K0-K1And (4) respectively. Plus the possible case of not dropping the weighting coefficients, i.e., K0-K1Is 0, the K0-K1The +1 selectable values may include K, which is the number of weighting coefficients that are not reported by the CSI report0-K1+1 possible values. Thereby indicating whether and how many weighting factors have been discarded by the terminal device.
And, the network device can determine how many weight coefficients are discarded according to the second indication bit, i.e. based on the K at the next scheduling2The value of (2) is used for allocating physical uplink resources for the terminal equipment so as to obtain more comprehensive feedback information in the next feedback, thereby being beneficial to improving the transmission performance of the system.
Optionally, the second indication bit is carried in a second part of the CSI report.
Still further, the first portion of the CSI report includes K1Is indicated.
By including K in the first part of the CSI report1The indication of (2) facilitates the network device to estimate the length of the second part of the CSI report according to the number of the weighting coefficients actually reported.
With reference to the first aspect or the second aspect, in some possible implementations, if based on K2The number Q of bits required for the second part of the CSI report determined by the weighting factors is greater than the number X of bits pre-allocated2The overhead of the second part of the CSI report is X2A bit; or, if based on K2The number Q of bits required for the second part of the CSI report determined by the weighting factors is less than or equal to the number X of bits pre-allocated2The overhead of the second part of the CSI report is qbit; wherein, X2=X0-X1,X0For pre-allocated number of bits, X, used for transmitting CSI reports1A number of bits used for transmitting a first portion of the CSI report; x0>X1,Q、X1、X2And X0Are all positive integers.
That is, the length of the second part of the CSI report and K2And a pre-allocated number of bits X2And (4) correlating. Based on K2Determined overheads Q and X2The size relationship of the first part and the second part of the CSI report can be estimated, and then the first part of the CSI report is decoded, so that coefficients and other information, such as space domain vectors, frequency domain vectors and the like, which are reported by the terminal equipment and used for constructing the precoding matrix are obtained.
In a third aspect, a communication device is provided, which includes various means or units for performing the method of the first aspect and any one of the possible implementations of the first aspect.
Specifically, the communication apparatus includes: a processing unit and a transceiving unit. The processing unit is used for generating a CSI report comprising K1Quantization information and first indication information of the weighting coefficients; wherein, K is1The weighting coefficients being weighting coefficients of non-zero amplitude, K1The weighting coefficients are used for constructing a precoding matrix corresponding to one or more frequency domain units; the first indication information is used for indicating the K1Whether the weighting coefficient is the number K reported by the device based on the pre-configured weighting coefficient0All the determined weighting coefficients having non-zero amplitudes, the device being based on K0The determined number of all the weighting coefficients with nonzero amplitude is K2,K1≤K2≤K0,K0、K1And K2Are all positive integers; the transceiver unit is used for transmitting the CSI report.
In a fourth aspect, a communications apparatus is provided that includes a processor. The processor is coupled to the memory and is operable to execute instructions in the memory to implement the method of any one of the possible implementations of the first aspect and the first aspect. Optionally, the communication device further comprises a memory. Optionally, the communication device further comprises a communication interface, the processor being coupled to the communication interface.
In one implementation, the communication device is a terminal device. When the communication device is a terminal device, the communication interface may be a transceiver, or an input/output interface.
In another implementation, the communication device is a chip configured in the terminal equipment. When the communication device is a chip configured in a terminal device, the communication interface may be an input/output interface.
Alternatively, the transceiver may be a transmit-receive circuit. Alternatively, the input/output interface may be an input/output circuit.
In a fifth aspect, a communication device is provided, which comprises various modules or units for performing the method of the second aspect and any one of the possible implementations of the second aspect.
Specifically, the communication apparatus includes: a processing unit and a transceiving unit. The receiving and sending unit is used for receiving the CSI report; the CSI report includes K1Quantization information and first indication information of the weighting coefficients; wherein, K is1The weighting coefficients being weighting coefficients of non-zero amplitude, K1The weighting coefficients are used for constructing a precoding matrix corresponding to one or more frequency domain units; the first indication information is used for indicating the K1Whether or not a weighting factor is pre-configured for the deviceReporting the number K of the weighting coefficients0All the determined weighting coefficients having non-zero amplitudes, the device being based on K0The determined number of all the weighting coefficients with nonzero amplitude is K2,K1≤K2≤K0,K0、K1And K2Are all positive integers; a processing unit for determining K according to the CSI report1A weighting coefficient and the K1Whether the weighting coefficient is the number K reported by the device based on the pre-configured weighting coefficient0All determined weighting coefficients with non-zero amplitudes.
In a sixth aspect, a communications apparatus is provided that includes a processor. The processor is coupled to the memory and is operable to execute the instructions in the memory to implement the method of any one of the possible implementations of the second aspect and the second aspect. Optionally, the communication device further comprises a memory. Optionally, the communication device further comprises a communication interface, the processor being coupled to the communication interface.
In one implementation, the communication device is a network device. When the communication device is a network device, the communication interface may be a transceiver, or an input/output interface.
In another implementation, the communication device is a chip configured in the network device. When the communication device is a chip configured in a network device, the communication interface may be an input/output interface.
Alternatively, the transceiver may be a transmit-receive circuit. Alternatively, the input/output interface may be an input/output circuit.
In a seventh aspect, a processor is provided, including: input circuit, output circuit and processing circuit. The processing circuit is configured to receive a signal through the input circuit and transmit a signal through the output circuit, so that the processor performs the method of any one of the possible implementations of the first to second aspects and the first to second aspects.
In a specific implementation process, the processor may be one or more chips, the input circuit may be an input pin, the output circuit may be an output pin, and the processing circuit may be a transistor, a gate circuit, a flip-flop, various logic circuits, and the like. The input signal received by the input circuit may be received and input by, for example and without limitation, a receiver, the signal output by the output circuit may be output to and transmitted by a transmitter, for example and without limitation, and the input circuit and the output circuit may be the same circuit that functions as the input circuit and the output circuit, respectively, at different times. The embodiment of the present application does not limit the specific implementation manner of the processor and various circuits.
In an eighth aspect, a processing apparatus is provided that includes a processor and a memory. The processor is configured to read instructions stored in the memory, and may receive a signal via the receiver and transmit a signal via the transmitter to perform the method of any one of the possible implementations of the first to second aspects and the first to second aspects.
Optionally, the number of the processors is one or more, and the number of the memories is one or more.
Alternatively, the memory may be integral to the processor or provided separately from the processor.
In a specific implementation process, the memory may be a non-transient memory, such as a Read Only Memory (ROM), which may be integrated on the same chip as the processor, or may be separately disposed on different chips.
It will be appreciated that the associated data interaction process, for example, sending the indication information, may be a process of outputting the indication information from the processor, and receiving the capability information may be a process of receiving the input capability information from the processor. In particular, data output by the processor may be output to a transmitter and input data received by the processor may be from a receiver. The transmitter and receiver may be collectively referred to as a transceiver, among others.
The processing means in the above-mentioned eighth aspect may be one or more chips. The processor in the processing device may be implemented by hardware or may be implemented by software. When implemented in hardware, the processor may be a logic circuit, an integrated circuit, or the like; when implemented in software, the processor may be a general-purpose processor implemented by reading software code stored in a memory, which may be integrated with the processor, located external to the processor, or stand-alone.
In a ninth aspect, there is provided a computer program product, the computer program product comprising: a computer program (which may also be referred to as code, or instructions), which when executed, causes a computer to perform the method of any of the possible implementations of the first to second aspects and the first to second aspects described above.
A tenth aspect provides a computer-readable medium storing a computer program (which may also be referred to as code or instructions) which, when run on a computer, causes the computer to perform the method of any one of the possible implementations of the first to second aspects and the first to second aspects described above.
In an eleventh aspect, a communication system is provided, which includes the foregoing network device and terminal device.
Drawings
Fig. 1 is a schematic diagram of a communication system suitable for a coefficient indication method for constructing a precoding matrix provided in an embodiment of the present application;
fig. 2 is a schematic flow chart of a coefficient indication method for constructing a precoding matrix according to an embodiment of the present application;
fig. 3 is a schematic block diagram of a communication device provided by an embodiment of the present application;
fig. 4 is a schematic structural diagram of a terminal device provided in an embodiment of the present application;
fig. 5 is a schematic structural diagram of a network device according to an embodiment of the present application.
Detailed Description
The technical solution in the present application will be described below with reference to the accompanying drawings.
The technical scheme of the embodiment of the application can be applied to various communication systems, for example: global system for mobile communications (GSM) systems, Code Division Multiple Access (CDMA) systems, Wideband Code Division Multiple Access (WCDMA) systems, General Packet Radio Service (GPRS), long term evolution (long term evolution, LTE) systems, LTE frequency division duplex (frequency division duplex, FDD) systems, LTE Time Division Duplex (TDD), universal mobile telecommunications system (universal mobile telecommunications system, UMTS), Worldwide Interoperability for Microwave Access (WiMAX) communication systems, future fifth generation (5 generation, 5G) or new wireless radio access (NR) systems, N V-X, wherein the GSM systems, CDMA systems, WCDMA systems, GPRS, WCDMA systems, GSM systems, WCDMA systems, GSM systems, WCDMA systems, GSM, V2V), vehicle to infrastructure (V2I), vehicle to pedestrian (V2P), etc., long term evolution (long term evolution-vehicle) for vehicle to vehicle communication, vehicle networking, Machine Type Communication (MTC), Internet of things (IoT), long term evolution (LTE-M) for inter-machine communication, machine to machine (M2M), etc.
For the convenience of understanding the embodiments of the present application, a communication system applicable to the embodiments of the present application will be first described in detail by taking the communication system shown in fig. 1 as an example. Fig. 1 is a schematic diagram of a communication system 100 suitable for a coefficient indication method for constructing a precoding matrix according to an embodiment of the present application. As shown in fig. 1, the communication system 100 may include at least one network device, such as the network device 110 shown in fig. 1; the communication system 100 may also include at least one terminal device, such as the terminal device 120 shown in fig. 1. Network device 110 and terminal device 120 may communicate via a wireless link. Each communication device, such as network device 110 or terminal device 120, may be configured with multiple antennas. For each communication device in the communication system 100, the configured plurality of antennas may include at least one transmit antenna for transmitting signals and at least one receive antenna for receiving signals. Accordingly, communication between communication devices in the communication system 100, such as between the network device 110 and the terminal device 120, may be via multiple antenna techniques.
It should be understood that the network device in the communication system may be any device having a wireless transceiving function. The network devices include, but are not limited to: evolved Node B (eNB), Radio Network Controller (RNC), Node B (NB), Base Station Controller (BSC), Base Transceiver Station (BTS), home base station (e.g., home evolved Node B or home Node B, HNB), baseband unit (BBU), Access Point (AP) in wireless fidelity (WiFi) system, wireless relay Node, wireless backhaul Node, Transmission Point (TP) or Transmission and Reception Point (TRP), etc., and may also be 5G, such as NR, gbb in the system, or transmission point (TRP or TP), one or a group of base stations in the 5G system may also include multiple antennas, or panels, and may also be configured as network panels or NB, such as a baseband unit (BBU), or a Distributed Unit (DU), etc.
In some deployments, the gNB may include a Centralized Unit (CU) and a DU. The gNB may further include an Active Antenna Unit (AAU). The CU implements part of the function of the gNB, and the DU implements part of the function of the gNB, for example, the CU is responsible for processing non-real-time protocols and services, and implementing functions of a Radio Resource Control (RRC) layer and a packet data convergence layer (PDCP) layer. The DU is responsible for processing a physical layer protocol and a real-time service, and implements functions of a Radio Link Control (RLC) layer, a Medium Access Control (MAC) layer, and a Physical (PHY) layer. The AAU implements part of the physical layer processing functions, radio frequency processing and active antenna related functions. Since the information of the RRC layer eventually becomes or is converted from the information of the PHY layer, the higher layer signaling, such as the RRC layer signaling, may also be considered to be transmitted by the DU or by the DU + AAU under this architecture. It is to be understood that the network device may be a device comprising one or more of a CU node, a DU node, an AAU node. In addition, the CU may be divided into network devices in an access network (RAN), or may be divided into network devices in a Core Network (CN), which is not limited in this application.
It should also be understood that terminal equipment in the wireless communication system may also be referred to as User Equipment (UE), an access terminal, a subscriber unit, a subscriber station, a mobile station, a remote terminal, a mobile device, a user terminal, a wireless communication device, a user agent, or a user equipment. The terminal device in the embodiment of the present application may be a mobile phone (mobile phone), a tablet (pad), a computer with a wireless transceiving function, a Virtual Reality (VR) terminal device, an Augmented Reality (AR) terminal device, a wireless terminal in industrial control (industrial control), a wireless terminal in self driving (self driving), a wireless terminal in remote medical (remote medical), a wireless terminal in smart grid (smart grid), a wireless terminal in transportation safety (transportation safety), a wireless terminal in smart city (smart city), a wireless terminal in smart home (smart home), a mobile terminal configured in a vehicle, and the like. The embodiments of the present application do not limit the application scenarios.
It should also be understood that fig. 1 is a simplified schematic diagram that is merely illustrated for ease of understanding, and that other network devices or other terminal devices, which are not shown in fig. 1, may also be included in the communication system 100.
In order to facilitate understanding of the embodiments of the present application, the following is a brief description of the processing procedure of the downlink signal at the physical layer before transmission. It should be understood that the processing of the downstream signal described below may be performed by the network device, or may be performed by a chip configured in the network device. For convenience of description, hereinafter, collectively referred to as network devices.
The network device may process a codeword (code word) on a physical channel. Where the codeword may be coded bits that are encoded (e.g., including channel coding). The codeword is scrambled (scrambling) to generate scrambled bits. The scrambled bits are modulation mapped (modulation mapping) to obtain modulation symbols. The modulation symbols are mapped to a plurality of layers (layers), or transport layers, through layer mapping. The modulated symbols after layer mapping are precoded (precoding) to obtain precoded signals. The precoded signal is mapped to a plurality of Resource Elements (REs) after mapping the precoded signal to the REs. These REs are then modulated by Orthogonal Frequency Division Multiplexing (OFDM) and transmitted through an antenna port (antenna port).
It should be understood that the above-described processing procedure for the downlink signal is only an exemplary description, and should not limit the present application in any way. For the processing procedure of the downlink signal, reference may be made to the prior art, and a detailed description of the specific procedure is omitted here for brevity.
In order to facilitate understanding of the embodiments of the present application, the following description is briefly made of terms related to the embodiments of the present application.
1. The precoding technology comprises the following steps: under the condition of known channel state, a transmitting device (such as a network device) can process a signal to be transmitted by means of a precoding matrix matched with the channel state, so that the signal to be transmitted after precoding is adaptive to a channel, and the complexity of eliminating the influence between channels by a receiving device (such as a terminal device) is reduced. Therefore, by precoding the signal to be transmitted, the received signal quality (e.g., signal to interference plus noise ratio (SINR)) is improved. Therefore, by using the precoding technique, the transmission between the sending device and the multiple receiving devices can be realized on the same time-frequency resource, that is, multi-user multiple input multiple output (MU-MIMO) is realized.
It should be understood that the related description regarding the precoding technique is merely exemplary for ease of understanding and is not intended to limit the scope of the embodiments of the present application. In a specific implementation process, the sending device may also perform precoding in other manners. For example, when the channel information (for example, but not limited to, the channel matrix) cannot be obtained, precoding is performed using a preset precoding matrix or a weighting processing method. For brevity, the detailed contents thereof are not described herein again.
2. Channel state information report (CSI report): or simply CSI. In a wireless communication system, information describing channel properties of a communication link is reported by a receiving end (e.g., a terminal device) to a transmitting end (e.g., a network device). The CSI report may include, but is not limited to, a Precoding Matrix Indicator (PMI), a Rank Indicator (RI), a Channel Quality Indicator (CQI), a channel state information reference signal (CSI-RS resource indicator (CRI)), and a Layer Indicator (LI), etc. it should be understood that the specific contents of the CSI listed above are merely exemplary and should not constitute any limitation to the present application.
Take the example that the terminal device reports the CSI to the network device. The terminal device may report one or more CSI reports in a time unit (e.g., a slot), where each CSI report may correspond to a configuration condition for CSI reporting. The configuration condition for CSI reporting may be determined by higher layer signaling (e.g., Information Element (IE) CSI reporting configuration (CSI-reporting configuration) in a Radio Resource Control (RRC) message). The CSI reporting configuration may be used to indicate a time domain behavior, a bandwidth, and a format corresponding to a report quality (report quality) of CSI reporting. The time domain behavior includes, for example, periodicity (periodic), semi-persistence (semi-persistent), and aperiodicity (aperiodic). The terminal device may generate a CSI report based on a CSI reporting configuration.
In the embodiment of the present application, when the terminal device generates the CSI report, the content in the CSI report may be divided into two parts. For example, the CSI report may include a first portion and a second portion. The first part may also be referred to as part 1(part 1). The second part may also be referred to as part 2(part 2). The first portion and the second portion may be independently encoded. Wherein the payload size (size) of the first portion may be predefined, and the payload size of the second portion may be determined according to the information carried in the first portion.
The network device may decode the first portion according to a predefined payload size of the first portion to obtain the information carried in the first portion. The network device may determine the payload size of the second portion from the information obtained from the first portion and then decode the second portion to obtain the information carried in the second portion.
In the embodiments of the present application, "payload size" is often used interchangeably with "length", "overhead", "bit overhead", etc., and the meaning expressed hereinafter is consistent where a particular description is made.
It is to be understood that the first and second parts are similar to part 1(part 1) and part 2(part 2) of CSI as defined in the NR protocol TS38.214 version 15(release 15, R15).
It should also be understood that, since the embodiments of the present application mainly relate to reporting of PMIs, the following embodiments only refer to relevant information of PMIs and do not refer to others for listing contents in the first part and the second part of CSI report. It should be understood that this should not constitute any limitation to the present application. In addition to the information contained or indicated by the first and second portions of the CSI report listed in the embodiments below, the first portion of the CSI report may also include one or more of CQI and LI, or may also include other information that may predefine the feedback overhead, and the second portion of the CSI report may also include other information. This is not a limitation of the present application.
It should also be understood that the first and second parts are merely named for ease of distinction and should not be construed as limiting the present application in any way. This application also does not exclude the possibility that the first and second parts will define other names in future protocols.
3. Precoding Matrix Indication (PMI): may be used to indicate the precoding matrix. The precoding matrix may be, for example, a precoding matrix determined by the terminal device based on the channel matrix of each frequency domain unit. The channel matrix may be determined by the terminal device through channel estimation or the like or based on channel reciprocity. However, it should be understood that the specific method for determining the precoding matrix by the terminal device is not limited to the foregoing, and the specific implementation manner may refer to the prior art, which is not listed here for brevity.
For example, the precoding matrix may be obtained by performing Singular Value Decomposition (SVD) on the channel matrix or a covariance matrix of the channel matrix, or may be obtained by performing eigenvalue decomposition (EVD) on the covariance matrix of the channel matrix. It should be understood that the determination manner of the precoding matrix listed above is only an example, and should not constitute any limitation to the present application. The determination of the precoding matrix can be made by referring to the prior art, and for the sake of brevity, it is not listed here.
It should be noted that, with the method provided by the embodiment of the present application, the network device may determine the precoding matrix corresponding to one or more frequency domain units based on the feedback of the terminal device. The precoding matrix determined by the network equipment can be directly used for downlink data transmission; the precoding matrix finally used for downlink data transmission may also be obtained through some beamforming methods, for example, including zero-forcing (ZF), regularized zero-forcing (RZF), minimum mean-squared error (MMSE), signal-to-leakage-and-noise (SLNR), and so on. This is not a limitation of the present application. Unless otherwise specified, the precoding matrices referred to hereinafter may refer to precoding matrices determined based on the methods provided herein.
It can be understood that the precoding matrix determined by the terminal device can be understood as the precoding matrix to be fed back. The terminal device may indicate the precoding matrix to be fed back through the PMI, so that the network device recovers the precoding matrix based on the PMI. The precoding matrix recovered by the network device based on the PMI may be the same as or similar to the precoding matrix to be fed back.
In the downlink channel measurement, the higher the approximation degree of the precoding matrix determined by the network device according to the PMI and the precoding matrix determined by the terminal device is, the more the determined precoding matrix for data transmission can be adapted to the downlink channel, and therefore, the transmission quality of signals can be improved.
It should be further noted that, the present application is not limited to the specific method for the terminal device to determine the precoding matrix to be fed back and the network device to recover the precoding matrix according to the feedback.
For example, the terminal device may fit the precoding matrix to be fed back by weighting the space-frequency vector pairs in a feedback manner of dual-domain compression, and feed back the space-frequency vector and the frequency-domain vector in each space-frequency vector pair and the weighting coefficient corresponding to the space-frequency vector pair to the network device. The network device may construct precoding matrices corresponding to the frequency domain units based on the corresponding manner. The detailed description of the specific process of the dual-domain compression will be described in detail below, and the detailed description of the specific process will be omitted here for the moment.
For another example, the terminal device may fit the precoding matrix to be fed back by weighting the beam vector in a feedback manner of a type ii (type ii) codebook defined in an existing protocol, and feed back the beam vector and the corresponding wideband coefficient and subband coefficient to the network device. The network device may construct precoding matrices corresponding to the frequency domain units based on the corresponding manner. The feedback manner of the type II codebook can refer to the related description in NR protocol TS38.214 version 15(release 15, R15), and for brevity, will not be described in detail herein.
For another example, the terminal device may also feed back the precoding matrix to be fed back to the network device through other possible manners. For example, the terminal device may perform channel measurement based on the precoded reference signals, and the precoding matrix to be fed back determined based on the channel measurement may be fitted by weighting of a plurality of reference signal ports, and feed back each reference signal port and a weighting coefficient corresponding to each reference signal port to the network device. The network device may construct precoding matrices corresponding to the frequency domain units based on the corresponding manner. The precoded reference signal corresponding to each reference signal port may be obtained by precoding based on a space-domain vector and a frequency-domain vector, so that the substance of weighting for the ports is that of weighting for the space-frequency vector pair. In addition, the present application does not limit the correspondence between the reference signal port and the spatial and frequency domain vectors.
It should be understood that the above-listed method for indicating the precoding matrix to be fed back by the terminal device based on the weighting of the beam is only an example, and should not constitute any limitation to the present application.
4. Frequency domain unit: the unit of the frequency domain resource can represent different frequency domain resource granularities. The frequency domain units may include, but are not limited to, for example, Channel Quality Indicator (CQI) subbands (subbands), 1/R of CQI subbands, Resource Blocks (RBs), subcarriers, Resource Block Groups (RBGs), precoding resource block groups (PRGs), and the like. Wherein R is a positive integer. The value of R may be, for example, 1 or 2.
In the embodiment of the present application, the PMI may be used to indicate a precoding matrix corresponding to a frequency domain unit, which may also be referred to as a PMI subband. Where R may represent the ratio of the granularity of the CQI subband to the granularity of the PMI subband. When R is 1, the granularity of one CQI subband is the same as that of one PMI subband; when R is 2, the granularity of one CQI subband is twice that of one PMI subband.
Note that the precoding matrix corresponding to a frequency domain unit may be a precoding matrix determined by performing channel measurement and feedback based on a reference signal on the frequency domain unit. The precoding matrix corresponding to the frequency domain unit may be used to precode data for subsequent transmission through the frequency domain unit. Hereinafter, the precoding matrix or precoding vector corresponding to a frequency domain element may also be simply referred to as the precoding matrix or precoding vector of the frequency domain element.
5. Precoding vector: a precoding matrix may comprise one or more vectors, such as column vectors. Each column vector may correspond to a transport layer. In other words, a precoding matrix corresponding to a certain frequency domain element may be determined by a precoding vector based on the frequency domain element fed back by each of one or more transmission layers.
Taking dual-domain compression as an example, the precoding matrix of the frequency domain unit can be obtained by performing mathematical transformation, such as normalization, on precoding vectors of the same frequency domain unit constructed by space domain vectors, frequency domain vectors and weighting coefficients fed back by different transmission layers. That is, the precoding matrix may be determined by precoding vectors on one or more transmission layers corresponding to the same frequency domain unit. The mathematical transformation relation between the precoding matrix and the precoding vector is not limited in the present application.
Therefore, when the number of transmission layers is 1, the precoding vector may refer to a precoding matrix. When the number of transmission layers is greater than 1, the precoding vector may refer to a component of the precoding matrix on one transmission layer, or may be a vector obtained by mathematically transforming a component of the precoding matrix on one transmission layer. It should be understood that the mathematical transformation of the components of the precoding matrix on one transmission layer to obtain the precoding vector is only described for convenience of describing the relationship between the precoding matrix and the precoding vector, and should not constitute any limitation to the process of determining the precoding matrix by the network device and the terminal device in this application.
6. Spatial domain vector (spatial domain vector): or beam (beam) vectors. Each element in the spatial vector may represent a weight of each antenna port (antenna port). Based on the weight of each antenna port represented by each element in the space-domain vector, signals of each antenna port are linearly superposed, and a region with stronger signals can be formed in a certain direction of space.
The antenna port may also be referred to as a port for short. An antenna port may be understood as a transmit antenna that is recognized by a receiving device, or a transmit antenna that is spatially distinguishable. One antenna port may be preconfigured for each virtual antenna, each virtual antenna may be a weighted combination of multiple physical antennas, and each antenna port may correspond to one reference signal, and thus, each antenna port may be referred to as a port of one reference signal, for example, a CSI-RS port, a Sounding Reference Signal (SRS) port, and the like.
The reference signal may be a reference signal that is not precoded, or may be a precoded reference signal, which is not limited in this application.
When the reference signal is a precoded reference signal, the reference signal port may be a transmit antenna port. The transmit antenna port may be referred to as a transceiver unit (TxRU).
When the reference signal is a precoded reference signal, the reference signal port may be a port whose dimension is reduced for the transmit antenna port. One reference signal port may correspond to one precoding vector.
For convenience of explanation, the spatial vector is assumed to be denoted as u. The length of the space-domain vector u may be the number of transmit antenna ports N in one polarization directions,NsIs more than or equal to 1 and is an integer. The space vector may be, for example, of length NsA column vector or a row vector. This is not a limitation of the present application.
Alternatively, the spatial vector is taken from a Discrete Fourier Transform (DFT) matrix. Each column vector in the DFT matrix may be referred to as a DFT vector. In other words, the spatial vector may be a DFT vector. The spatial vector may be, for example, a two-dimensional (2dimensions, 2D) -Discrete Fourier Transform (DFT) vector or an oversampled 2D-DFT vector v defined in a type II (type II) codebook of the NR protocol TS38.214 version 15(release 15, R15)l,m. For brevity, further description is omitted here.
In the embodiment of the present application, the spatial vector is one of vectors used to construct the precoding vector.
7. Spatial vector set: a number of different length space-domain vectors may be included to correspond to different numbers of antenna ports. In the embodiment of the present application, the spatial vector used for constructing the precoding vector may be determined from a set of spatial vectors. Alternatively, the set of spatial vectors includes a plurality of candidate spatial vectors that can be used to construct the precoding vector.
In one possibilityIn design (2), the set of spatial vectors may include NsA space vector of NsThe space-domain vectors can be orthogonal to each other two by two. Each spatial vector in the set of spatial vectors may be taken from a 2D-DFT matrix. Wherein 2D may represent two different directions, e.g., a horizontal direction and a vertical direction. If the number of antenna ports in the horizontal direction and the vertical direction is N respectivelyhAnd NvThen Ns=N1×N2。Ns、N1And N2Are all positive integers.
The N issA spatial vector can be written, for example
Figure BDA0002047990790000121
The N issThe space vector can construct a matrix Bs
Figure BDA0002047990790000122
In another possible design, the set of spatial vectors may be passed through an oversampling factor OsExpansion to Os×NsA spatial vector. In this case, the set of spatial vectors may include OsA plurality of subsets, each subset may include NsA spatial vector. N in each subsetsThe space-domain vectors can be orthogonal to each other two by two. Each spatial vector in the set of spatial vectors may be taken from an oversampled 2D-DFT matrix. Wherein the oversampling factor OsIs a positive integer. Specifically, Os=O1×O2,O1May be an oversampling factor in the horizontal direction, O2May be an oversampling factor in the vertical direction. O is1≥1,O2≥1,O1、O2Are not 1 at the same time and are integers.
O < th > in the set of spatial vectorss(1≤os≤OsAnd o issIs an integer) of subsetssThe spatial vectors can be respectively written as
Figure BDA0002047990790000123
Based on the osN of the subsetsThe space vector can construct a matrix
Figure BDA0002047990790000124
Figure BDA0002047990790000125
Thus, each spatial vector in the set of spatial vectors may be taken from a 2D-DFT matrix or an oversampled 2D-DFT matrix. Each column vector in the set of spatial vectors may be referred to as a 2D-DFT vector or an oversampled 2D-DFT vector. In other words, the spatial vector may be a 2D-DFT vector or an oversampled 2D-DFT vector.
8. Frequency domain vector: (frequency domain vector): a vector that can be used to represent the law of variation of the channel in the frequency domain. Each frequency domain vector may represent a law of variation. Since the signal may travel multiple paths from the transmit antenna to the receive antenna as it travels through the wireless channel. Multipath delay causes frequency selective fading, which is a change in the frequency domain channel. Therefore, the variation law of the channel in the frequency domain caused by the time delay on different transmission paths can be represented by different frequency domain vectors.
In this embodiment of the present application, the frequency domain vector may be used to construct a combination of multiple spatial vectors and frequency domain vectors with the spatial vector, or a space-frequency vector pair for short, so as to construct a precoding vector.
For convenience of explanation hereinafter, the frequency domain vector is assumed to be denoted as v. The length of the frequency domain vector can be written as N3,N3Is more than or equal to 1 and is an integer.
9. Frequency domain vector set: frequency domain vectors of a variety of different lengths may be included. In the embodiment of the present application, the frequency domain vector used for constructing the precoding vector may be determined from a set of frequency domain vectors. Alternatively, the set of frequency domain vectors includes a plurality of candidate frequency domain vectors that can be used to construct the precoding vector.
In one possible design, the set of frequency domain vectors may include N3A frequency domain vector. The N is3The frequency domain vectors can be orthogonal to each other two by two. The set of frequency domain vectorsEach frequency domain vector in the sum may be taken from a DFT matrix or an Inverse Discrete Fourier Transform (IDFT) matrix.
For example, the NfA frequency domain vector can be written, for example
Figure BDA0002047990790000131
The N isfThe frequency domain vectors can construct a matrix Bf
Figure BDA0002047990790000132
In another possible design, the set of frequency domain vectors may be passed through an oversampling factor OfExpansion to Of×N3A frequency domain vector. In this case, the set of frequency domain vectors may include OfA plurality of subsets, each subset may include N3A frequency domain vector. N in each subset3The frequency domain vectors can be orthogonal to each other two by two. Each subset may be referred to as an orthogonal set. Each frequency domain vector in the set of frequency domain vectors may be taken from an oversampled DFT matrix. Wherein the oversampling factor OfIs a positive integer.
E.g., the o-th in the set of frequency domain vectorsf(1≤of≤OfAnd o isfIs an integer) of subsets3The frequency domain vectors can be respectively recorded as
Figure BDA0002047990790000133
Based on the ofN of the subset3The frequency domain vectors can construct a matrix
Figure BDA0002047990790000134
Figure BDA0002047990790000135
Thus, each frequency domain vector in the set of frequency domain vectors may be taken from a DFT matrix or an oversampled DFT matrix, or from an IDFT matrix or an oversampled IDFT matrix. Correspondingly, each column vector in the set of frequency domain vectors may be referred to as a DFT vector or an oversampled DFT vector, or alternatively, an IDFT vector or an oversampled IDFT vector. In other words, the frequency domain vector may be a DFT vector or an oversampled DFT vector, or alternatively, an IDFT vector or an oversampled IDFT vector.
10. Space-frequency component matrix: a space-frequency component matrix may be determined from a space-frequency vector and a frequency-domain vector. A matrix of space-frequency components may be determined, for example, by a conjugate transpose of a space-domain vector and a frequency-domain vector, e.g., uxvHDimension may be Ns×N3
It should be appreciated that the space-frequency component matrix may be a representation of the space-frequency fundamental unit defined by a space-frequency vector and a frequency-domain vector. The space-frequency basic unit may also be represented, for example, as a space-frequency component vector, which may be determined, for example, by the Kronecker product of a space-domain vector and a frequency-domain vector; the space-frequency basic unit can also be represented as a space-frequency vector pair, for example. The present application is not limited to the specific representation of the space-frequency basic unit. Based on the same concept, those skilled in the art should be able to determine various possible forms from a spatial domain vector and a frequency domain vector within the scope of the present application. In addition, if a different form from the above list is defined for the spatial vector or the frequency domain vector, the operation relationship between the spatial component matrix and the spatial vector or the frequency domain vector may be different. The application does not limit the operation relation between the space-frequency component matrix and the space-domain vector and the frequency-domain vector.
11. Space-frequency matrix: which may be understood as an intermediate quantity for determining the precoding matrix for each frequency domain element. For the terminal device, the space-frequency matrix may be determined by a precoding matrix or a channel matrix corresponding to each frequency domain unit. For the network device, the space-frequency matrix may be a weighted sum of a plurality of space-frequency component matrices for recovering the downlink channel or the precoding matrix.
For example, the space-frequency matrix may be denoted as H,
Figure BDA0002047990790000136
wherein, w1To
Figure BDA0002047990790000137
Is and N3N corresponding to each frequency domain unit3Each column vector may be a precoding matrix corresponding to each frequency domain unit, and the length of each column vector may be Ns. The N is3Each column vector corresponds to N3Precoding vectors of individual frequency domain units. I.e. the space-frequency matrix can be regarded as N3And the precoding vectors corresponding to the frequency domain units are combined to form a joint matrix.
In addition, the space-frequency matrix may correspond to a transport layer. The precoding vectors of the frequency domain units on the same transmission layer can construct a space-frequency matrix corresponding to the transmission layer. For example, the space-frequency matrix corresponding to the z-th transmission layer may be constructed by using the precoding vectors of the frequency domain units on the z-th transmission layer. Hereinafter, for convenience of explanation, the space-frequency matrix corresponding to the transport layer is simply referred to as the space-frequency matrix of the transport layer.
It should be understood that the space-frequency matrix is only one expression for determining the intermediate quantity of the precoding matrix, and should not constitute any limitation to the present application. For example, the column vectors in the space-frequency matrix are sequentially connected from the left to the right, or arranged according to other predefined rules, so that the length N can also be obtaineds×N3May be referred to as a space-frequency vector.
It should also be understood that the dimensions of the space-frequency matrix and the space-frequency vector shown above are merely examples and should not be construed as limiting the present application in any way. For example, the space-frequency matrix may have a dimension N3×NsThe matrix of (2). Each row vector may correspond to a frequency domain unit for determining a precoding vector of the corresponding frequency domain unit.
In addition, when the transmitting antenna is configured with a plurality of polarization directions, the dimension of the space-frequency matrix can be further expanded. For example, for a dual polarized directional antenna, the dimension of the space-frequency matrix may be 2Ns×N3Or N3×2Ns. It should be understood that the present application is not limited to the number of polarization directions of the transmitting antennaAnd (4) determining.
12. And (3) double-domain compression: compression in both dimensions may include spatial and frequency domain compression. Spatial compression may particularly refer to the selection of one or more spatial vectors from a set of spatial vectors as vectors for constructing a precoding vector. Frequency domain compression may refer to the selection of one or more frequency domain vectors in a set of frequency domain vectors as vectors for constructing a precoding vector. As described above, a matrix constructed by one spatial domain vector and one frequency domain vector may be referred to as a space-frequency component matrix, for example. The selected one or more spatial vectors and one or more frequency domain vectors may construct one or more matrices of space-frequency components. The weighted sum of the one or more space-frequency component matrices may be used to construct a space-frequency matrix corresponding to one transmission layer. In other words, the space-frequency matrix may be approximated as a weighted sum of the space-frequency component matrices constructed from the selected one or more space-frequency vectors and one or more frequency-domain vectors described above. Based on the space-frequency matrix corresponding to one transmission layer, the precoding vector corresponding to each frequency domain unit on the transmission layer can be further determined.
In particular, the selected one or more spatial vectors may form a matrix W1Wherein W is1Each corresponding to a selected one of the spatial vectors. The selected one or more frequency domain vectors may form a matrix W3Wherein W is3Each corresponding to a selected one of the frequency domain vectors. The space-frequency matrix H may be represented as a result of a linear combination of the selected one or more space-frequency vectors and the selected one or more frequency-domain vectors H ═ W1CW3 H
Taking the z-th transmission layer as an example, assume that the space-frequency matrix of the z-th transmission layer is H ═ W1CW3 H
If a dual-polarized directional antenna is adopted, L can be selected for each polarization directionzA space vector, W1May be 2Ns×2Lz. In one possible implementation, the two polarization directions may use the same LzSpace vector
Figure BDA0002047990790000141
Wherein the content of the first and second substances,
Figure BDA0002047990790000142
for example, L spatial vectors selected from the set of spatial vectors described above may be used. At this time, W1Can be expressed as
Figure BDA0002047990790000143
Wherein
Figure BDA0002047990790000144
Indicating selected LzThe L-th space vector of the space vectors, L ═ 1, 2, …, Lz
If M is selectedzA frequency domain vector, then W3 HMay be Mz×N3。W3Each column vector in (a) may be a frequency domain vector. At this time W1Each space vector sum W in3Each frequency domain vector in (2) may constitute a space-frequency vector pair, and each space-frequency vector pair may correspond to a weighting coefficient, which is 2LzA space vector sum Mz2L constructed by frequency domain vectorz×MzOne space-frequency vector pair may be paired with 2Lz×MzThe weighting coefficients correspond one to one.
C is a radical of the 2Lz×MzThe dimension of a coefficient matrix formed by the weighting coefficients can be 2Lz×Mz. The L-th row in the coefficient matrix C may correspond to 2LzThe L-th space vector in the first polarization direction in the space vectors, the L-th space vector in the coefficient matrix Cz+ L rows may correspond to 2LzThe first of the spatial vectors in the second polarization direction. The mth column in the coefficient matrix C may correspond to MzAn mth one of the frequency domain vectors.
Alternatively, Z transmission layers may use independent spatial vectors, respectively. The spatial vectors reported by the terminal device for the Z transmission layers may include a sum of spatial vectors reported for each transmission layer. In this case, assume that the terminal is setThe number of the space domain vectors to be reported aiming at the Z transmission layers is L, then
Figure BDA0002047990790000145
Alternatively, Z transmission layers may use respective independent frequency domain vectors, and the frequency domain vector reported by the terminal device for Z transmission layers may include a sum of the frequency domain vectors reported for each transmission layer. In this case, assuming that the number of frequency domain vectors reported by the terminal device for Z transmission layers is M, the terminal device reports the number of frequency domain vectors for Z transmission layers to M
Figure BDA0002047990790000151
Alternatively, the Z transport layers may share L spatial vectors. The L space-domain vectors reported by the terminal device may be used to construct precoding vectors of each frequency-domain unit on any one of the Z transmission layers. In this case, the number L of space vectors reported by the terminal device for the z-th transmission layerz=L。
Alternatively, Z transport layers may share M frequency domain vectors. The M frequency domain vectors reported by the terminal device may be used to construct precoding vectors of each frequency domain unit on any one of the Z transmission layers. In this case, the number M of frequency domain vectors reported by the terminal device for the z-th transmission layerz=M。
Alternatively, the Z transmission layers may be divided into a plurality of transmission layer groups, one or more transmission layers in the same transmission layer group may share a spatial vector and/or a frequency domain vector, and transmission layers from different transmission layer groups may use respective independent spatial vectors and/or frequency domain vectors.
It should be understood that the space-frequency matrices H and W shown above1、W3The relationships in (b) are merely examples and should not be construed as limiting the application in any way. Those skilled in the art can mathematically transform the above relationship to obtain other characteristics for space-frequency matrices H and W based on the same concept1、W3And calculating the relation. For example, the space-frequency matrix H may also be represented as H ═ W1CW3At this time W3Each row vector of (a) corresponds to a selected one of the frequency domain vectors.
Since the dual-domain compression is performed in both spatial and frequency domains, the terminal device may feed back the selected one or more spatial vectors and one or more frequency-domain vectors to the network device during feedback, instead of feeding back the weighting coefficients (e.g., including amplitude and phase) of the sub-bands separately on a per frequency-domain basis (e.g., sub-bands). Thus, feedback overhead can be greatly reduced. Meanwhile, since the frequency domain vector can represent the change rule of the channel in frequency, the change of the channel in frequency domain is simulated by linear superposition of one or more frequency domain vectors. Therefore, higher feedback accuracy can still be maintained, so that the precoding matrix recovered by the network device based on the feedback of the terminal device can still be well adapted to the channel.
It should be understood that, for the convenience of understanding the dual-domain compression, the terms space-frequency component matrix, space-frequency vector, and the like are defined separately, but this should not limit the present application in any way. The specific process of the terminal device determining the PMI is an internal implementation behavior of the terminal device, and the specific process of the terminal device determining the PMI is not limited in the application. The specific process of the network device determining the precoding matrix according to the PMI is an internal implementation behavior of the network device, and the specific process of the network device determining the precoding matrix according to the PMI is not limited in the application. The terminal device and the network device may respectively employ different algorithms to generate the PMI and recover the precoding matrix.
13. Weighting coefficient: in the two-domain compression, the weighting coefficients may also be referred to as space-frequency combining coefficients, and the like. Each weighting coefficient may correspond to a space-domain vector and a frequency-domain vector, or to a matrix of space-frequency components, or to a pair of space-frequency vectors, selected to construct the precoding vector. The weighting coefficient can be used to represent the weight of a space-frequency component matrix constructed by constructing a precoding vector to a space-frequency vector and a frequency-domain vector.
Each weighting factor may include an amplitude and a phase. For example, the weighting coefficients aeIn the formula (I), a is the amplitude,θ is the phase.
In a plurality of space-frequency vector pairs selected by the terminal device for constructing the precoding matrix, each space-frequency vector pair may correspond to a weighting coefficient. Among the weighting coefficients corresponding to the plurality of space-frequency vector pairs, the amplitude (or amplitude) of some of the weighting coefficients may be zero or close to zero, and the corresponding quantization value may be zero. The weighting coefficient for quantizing the amplitude by quantizing the value zero may be referred to as a weighting coefficient for which the amplitude is zero. Correspondingly, the magnitude of some weighting coefficients is larger, and the corresponding quantization values are not zero. A weighting coefficient that quantizes amplitude by a non-zero quantization value may be referred to as a weighting coefficient whose amplitude is non-zero. In other words, the plurality of weighting coefficients corresponding to the plurality of space-frequency vector pairs may be composed of one or more weighting coefficients whose amplitudes are non-zero and one or more weighting coefficients whose amplitudes are zero.
14. Transport layer (layer): also referred to as spatial layers, transport streams, spatial streams, etc. The number of transmission layers used for data transmission between the network device and the terminal device may be determined by the rank (rank) of the channel matrix. The terminal device may determine the number of transmission layers according to a channel matrix obtained by channel estimation. For example, the precoding matrix may be determined by performing Singular Value Decomposition (SVD) on the channel matrix or a covariance matrix of the channel matrix. In the SVD process, different transport layers may be distinguished according to the size of the eigenvalues. For example, the precoding vector determined by the eigenvector corresponding to the largest eigenvalue may be associated with the 1 st transmission layer, and the precoding vector determined by the eigenvector corresponding to the smallest eigenvalue may be associated with the Z-th transmission layer. That is, the eigenvalues corresponding to the 1 st to the Z-th transport layers decrease in sequence.
It should be understood that distinguishing between different transport layers based on characteristic values is only one possible implementation and should not constitute any limitation to the present application. For example, the protocol may also define other criteria for distinguishing the transport layers in advance, which is not limited in this application.
In some cases, the CSI report reported by the terminal device to the network device may not contain all the information for constructing the precoding matrix determined based on the channel measurement. For example, the physical uplink resource pre-allocated by the network device to the terminal device is not enough to transmit all the information determined by the terminal device for constructing the precoding matrix. In this case, it is not clear how to indicate the number of weighting coefficients in the CSI report. If the definition of the indication of the number of weighting coefficients in the CSI report is ambiguous, it may cause the network device to make an error in the estimation of the overhead of the second part of the CSI report, and thus the second part of the CSI report cannot be decoded correctly. Therefore, the network device may not be able to accurately obtain the information in the CSI report, and the precoding matrix for data transmission determined in the downlink transmission process may not be well adapted to the downlink channel, thereby causing the transmission performance of the system to be degraded.
For example, the number of reporting weight coefficients preconfigured by the network device for the terminal device is 20, and the number of all weight coefficients with nonzero amplitudes to be reported, which are determined by the terminal device based on channel measurement, is 18. But the number of weighting coefficients with nonzero amplitudes actually reported by CSI reports may be 15. If the network device estimates the length of the second portion of the CSI report based on 18 weighting coefficients, the estimation of the length of the second portion of the CSI report is inaccurate. If the network device estimates the length of the second part of the CSI report based on 15 weighting factors, the network device may not know whether the terminal device has discarded a portion of weighting factors with non-zero amplitude, although the estimation of the length of the second part of the CSI report may be accurate. The discarding of the weighting factor by the terminal device may be caused by insufficient physical uplink resources pre-allocated by the network device, and if the network device cannot know whether the terminal device discards the weighting factor, it does not know whether the pre-allocated physical uplink resources are sufficient. In a plurality of channel measurements thereafter, the terminal device may still not obtain sufficient physical uplink resources to transmit the CSI report. This seriously degrades the feedback accuracy, which is detrimental to the transmission performance of the system.
Based on this, the present application provides a coefficient indication method for constructing a precoding matrix, which explicitly defines how to indicate the number of weighting coefficients in a CSI report, so that a network device can accurately estimate the overhead of the second part of the CSI report to correctly decode the CSI report.
To facilitate understanding of the embodiments of the present application, the following description is made before describing the embodiments of the present application.
First, for the convenience of understanding and explanation, the main parameters involved in the present application are first described as follows:
K0: the network device reports the number of weighting coefficients preconfigured for the terminal device, or the maximum number of weighting coefficients reported by the terminal device, K0Is a positive integer.
K1: the number of weighting coefficients, K, reported by the terminal equipment to the network equipment through the CSI report1≤K0And K is1Is a positive integer. It can be understood that, to save overhead, the terminal device may report only the weighting coefficient whose amplitude is non-zero to the network device, and not report the weighting coefficient whose amplitude is zero. Therefore, K reported by the terminal equipment through the CSI report1Each weighting coefficient is a weighting coefficient with nonzero amplitude.
K2: reporting number K of terminal equipment based on weighting coefficient pre-configured by channel measurement and network equipment0Number of all non-zero amplitude weighting coefficients, K, of the determined weighting coefficients1≤K2≤K0And K is2Is a positive integer.
Ns: number of transmitting antenna ports, NsIs a positive integer.
N3: length of frequency domain vector, N3Is a positive integer.
L: and the number of the airspace vectors reported by the terminal equipment, wherein L is a positive integer. In the embodiments shown below, a plurality of (e.g., Z) transmission layers may share L spatial vectors, so the number L of spatial vectors reported by the terminal device is also the number of spatial vectors shared by the plurality of transmission layers. Note that the L spatial vectors may be different from each other.
M: and the total number of the frequency domain vectors reported by the terminal equipment, wherein M is a positive integer. Examples shown belowIn an embodiment, multiple (e.g., Z) transmission layers may use respective independent frequency domain vectors. For example, the Z-th (1. ltoreq. Z. ltoreq. Z, Z being an integer) transport layer of the Z transport layers may use MzA number of frequency domain vectors, so the total number M of frequency domain vectors reported by the terminal device may be the total number of frequency domain vectors reported by the terminal device for a plurality of transport layers, i.e.,
Figure BDA0002047990790000171
z: the number of transmission layers may be determined by the rank (rank) of the channel matrix, and Z is a positive integer.
z: corresponding to Z, a value in the range of 1 to Z, Z being an integer, may be taken.
Second, in the present embodiment, for convenience of description, when referring to numbering, numbering may be continued from 1. For example, the Z transport layers may include the 1 st transport layer to the Z th transport layer, and so on, which are not illustrated one by one here. Of course, the specific implementation is not limited to this, and for example, the numbers may be continuously numbered from 0. It should be understood that the above descriptions are provided for convenience of describing the technical solutions provided by the embodiments of the present application, and are not intended to limit the scope of the present application.
Third, in the embodiments of the present application, a plurality of places relate to transformation of matrices and vectors. For ease of understanding, a unified description is provided herein. The superscript T denoting transposition, e.g. ATRepresents a transpose of a matrix (or vector) a; the superscript H denotes a conjugate transpose, e.g., AHRepresents the conjugate transpose of matrix (or vector) a; the upper corner marks represent conjugation, e.g. A*Representing the conjugate of matrix (or vector) a. Hereinafter, the description of the same or similar cases will be omitted for the sake of brevity.
Fourth, in the embodiments of the present application, "for indicating" may include for direct indicating and for indirect indicating. For example, when a certain indication information is described as the indication information I, the indication information may be included to directly indicate I or indirectly indicate I, and does not necessarily represent that I is carried in the indication information.
If the information indicated by the indication information is referred to as information to be indicated, in a specific implementation process, there are many ways of indicating the information to be indicated, for example, but not limited to, directly indicating the information to be indicated, such as the information to be indicated itself or an index of the information to be indicated. The information to be indicated can also be indirectly indicated by indicating other information, wherein an association relationship exists 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 the other part of the information to be indicated is known or predetermined. For example, the indication of the specific information may be implemented by means of a predetermined arrangement order of the respective information (e.g., protocol specification), thereby reducing the indication overhead to some extent. Meanwhile, the universal parts of all information can be identified and indicated in a unified mode, so that the indicating overhead caused by independently indicating the same information is reduced. For example, it will be understood by those skilled in the art that the precoding matrix is composed of precoding vectors, and that each precoding vector in the precoding matrix may have the same components in terms of composition or other attributes.
The specific indication method may be any of various existing indication methods, such as, but not limited to, the above indication methods, various combinations thereof, and the like. The specific details of various indication modes can refer to the prior art, and are not described in detail herein. As can be seen from the above description, when a plurality of information of the same type are required to be indicated, for example, different information may be indicated differently. In a specific implementation process, a required indication manner may be selected according to a specific need, and the indication manner selected in the embodiment of the present application is not limited, so that the indication manner related to the embodiment of the present application should be understood to cover various methods that enable a party to be indicated to obtain information to be indicated.
In addition, other equivalent forms of the information to be indicated may exist, for example, a row vector may be represented as a column vector, a matrix may be represented by a transposed matrix of the matrix, a matrix may also be represented as a vector or an array, the vector or the array may be formed by connecting each row vector or column vector of the matrix, a kronecker product of two vectors may also be represented as a product of one vector and a transposed vector of another vector, and the like. The technical solutions provided in the embodiments of the present application should be understood to cover various forms. For example, reference to some or all of the features in the embodiments of the present application should be understood to encompass various manifestations of such features.
The information to be indicated may be sent together as a whole, or may be sent separately by dividing into a plurality of pieces of sub information, and the sending periods and/or sending timings of these pieces of sub information may be the same or different. Specific transmission method this application is not limited. The sending period and/or sending timing of the sub information may be predefined, for example, predefined according to a protocol, or may be configured by the transmitting end device by sending configuration information to the receiving end device. The configuration information may include, for example and without limitation, one or a combination of at least two of radio resource control signaling, such as RRC signaling, MAC layer signaling, such as MAC-CE signaling, and physical layer signaling, such as Downlink Control Information (DCI).
Fifth, in the embodiments shown below, the first, second and various numerical numbers are merely for convenience of description and are not intended to limit the scope of the embodiments of the present application. For example, different indication information, different indication fields, and the like are distinguished.
Sixth, "predefined" or "pre-configured" may be implemented by pre-saving a corresponding code, table or other means that can be used to indicate related information in a device (e.g., including a terminal device and a network device), and the specific implementation manner of the present application is not limited thereto. Wherein "saving" may refer to saving in one or more memories. The one or more memories may be separate devices or may be integrated in the encoder or decoder, the processor, or the communication device. The one or more memories may also be provided as a portion of a stand-alone device, a portion of which is integrated into a decoder, a processor, or a communication device. The type of memory may be any form of storage medium and is not intended to be limiting of the present application.
Seventh, the "protocol" referred to in the embodiments of the present application may refer to a standard protocol in the communication field, and may include, for example, an LTE protocol, an NR protocol, and a related protocol applied in a future communication system, which is not limited in the present application.
Eighth, "at least one" means one or more, "a plurality" means two or more. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone, wherein A and B can be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of the singular or plural items. For example, at least one (one) of a, b, and c, may represent: a, or, b, or, c, or, a and b, or, a and c, or, b and c, or, a, b and c. Wherein a, b and c may be single or plural respectively.
The method provided by the embodiment of the application will be described in detail below with reference to the accompanying drawings.
The method provided by the embodiment of the application can be applied to a system for communication through a multi-antenna technology. Such as the communication system 100 shown in fig. 1. The communication system may include at least one network device and at least one terminal device. The network device and the terminal device can communicate through a multi-antenna technology.
It should be understood that the method provided by the embodiment of the present application is not limited to the communication between the network device and the terminal device, and may also be applied to the communication between the terminal device and the terminal device, and the like. The application does not limit the application scenario of the method. In the embodiments shown below, the method provided by the embodiments of the present application is described in detail by taking the interaction between the network device and the terminal device as an example only for convenience of understanding and description.
It should also be understood that the embodiments shown below do not particularly limit the specific structure of the execution subject of the method provided by the embodiments of the present application, as long as the communication can be performed according to the method provided by the embodiments of the present application by running the program recorded with the code of the method provided by the embodiments of the present application, for example, the execution subject of the method provided by the embodiments of the present application may be a terminal device or a network device, or a functional module capable of calling the program and executing the program in the terminal device or the network device.
It should also be understood that the method provided by the present application is described in detail below by taking the feedback manner of the two-domain compression as an example for the convenience of understanding. This should not be construed as limiting the scope of the present invention. The method provided by the application can be applied to other feedback modes for indicating the precoding matrix by feeding back the beam vector and the weighting coefficient.
Fig. 2 is a schematic flow chart of a coefficient indication method 200 for constructing a precoding matrix according to an embodiment of the present application, which is shown from the perspective of device interaction. As shown in fig. 2, the method 200 may include steps 210 through 250. The steps in method 200 are described in detail below.
In step 210, the terminal device generates a CSI report. The CSI report includes K1Quantization information of the weighting coefficients and first indication information indicating the K1Whether the weighting coefficient is the number K reported by the terminal equipment based on the preconfigured weighting coefficient0All determined weighting coefficients with non-zero amplitudes.
In particular, the CSI report may be determined by the terminal device based on the results of the channel measurements. The CSI report may include, for example, a PMI for instructing to construct a precoding matrix corresponding to each frequency domain unit. In one implementation, the CSI report fed back by the terminal device based on the two-domain compression may include an indication of at least one spatial vector, an indication of at least one frequency domain vector, and K1Quantization information of the individual weighting coefficients. For a single-polarization directional antenna, the total number K of weighting coefficients reported by the terminal device for all transmission layers is given by the terminal device, where the number of space-domain vectors reported by the terminal device for all transmission layers is, for example, L (L is a positive integer), and the total number of frequency-domain vectors reported by the terminal device for all transmission layers is, for example, M (M is a positive integer)1Can satisfy the following conditions: k1Less than or equal to L multiplied by M; for double polarityFor directional antenna, if L space vectors are shared by two polarization directions, the number K of weighting coefficients reported by the terminal device1Can satisfy the following conditions: k1≤2L×M。
For convenience of description, the method provided by the embodiment of the present application is described by taking a dual-polarized directional antenna as an example. That is, the number K of weighting coefficients reported by the terminal device1Can satisfy the following conditions: k1Less than or equal to 2L multiplied by M. The K is1K of weighting coefficient and 2L multiplied by M space frequency vector pairs1There are pairs of space-frequency vectors.
In order to save the overhead, the maximum number of weighting coefficients reported by the terminal device may be preconfigured by the network device through signaling. Optionally, the method further comprises: step 220, the network device sends second indication information, where the second indication information is used to indicate the number K of weighting coefficient reports configured for the terminal device0. Correspondingly, in step 220, the terminal device receives the second indication information.
The number of weighting coefficients reported by the network device for the terminal device is the maximum number of weighting coefficients reported by the terminal device. Therefore, the number K of the weighting coefficients actually reported by the terminal equipment1The number K of weight coefficient reports less than or equal to the pre-configuration0
In one possible design of the system, the system may be,
Figure BDA0002047990790000191
wherein beta is a pre-configured coefficient, and beta is more than 0 and less than or equal to 1. The value of β may be, for example, 1/2, 1/4, 3/4, or the like. This is not a limitation of the present application. It can be seen that K0Less than or equal to 2L multiplied by M. Thus, K1≤K0≤2L×M。
The 2L × M weighting coefficients determined by the terminal device based on the channel measurement may include a weighting coefficient whose amplitude is zero and a weighting coefficient whose amplitude is non-zero. In order to save the overhead, the terminal device may only report the weighting coefficient with non-zero amplitude instead of reporting the weighting coefficient with zero amplitude. The number of weighting coefficients with nonzero amplitude in the 2L multiplied by M weighting coefficients determined by the terminal equipment can be more than K0And may be smallIs equal to or higher than K0. If the number of the weighting coefficients with nonzero amplitude in the 2L multiplied by M weighting coefficients determined by the terminal equipment is more than K0The terminal device may determine K to be reported from the 2 lxm weighting coefficients0A weighting factor. For example, the terminal device may discard some of the weighting coefficients of the Z-th transmission layer such that the total number of determined weighting coefficients with non-zero amplitude is less than or equal to K0. If the number of weighting coefficients with nonzero amplitude in the 2L multiplied by M weighting coefficients determined by the terminal equipment is less than or equal to K0The terminal device may report all the weighting coefficients with non-zero amplitudes.
In other words, the terminal device reports the number K based on the channel measurement and the preconfigured weighting factor0The number of determined weighting coefficients with all non-zero amplitudes is less than or equal to K0And (4) respectively. For convenient differentiation and explanation, the number K of terminal equipment reports based on channel measurement and preconfigured weighting coefficient0The number of all determined weighting coefficients with non-zero amplitude is denoted K2,K2≤K0,K2Is a positive integer.
It should be understood that the method for the terminal device to discard some weighting coefficients in the weighting coefficients of the Z-th transmission layer is only an example, and the total number of the weighting coefficients with nonzero amplitude is greater than K in the present application0The specific processing manner of the terminal device in the case of (1) is not limited.
However, in some cases, the K determined by the terminal device2The non-zero magnitude weighting factors may not all be reported to the network device via the CSI report. The terminal device may only report the K2Some of the weighting coefficients. As mentioned above, the number of weighting coefficients reported by the terminal device through the CSI report is K1K reported by the terminal equipment through the CSI report1The weighting coefficient may be K2Some or all of the weighting coefficients having non-zero magnitudes. I.e. K1≤K2. If K1<K2Then the terminal device may be considered to discard a portion of the weighting coefficients with non-zero amplitudes. In this case, K1Can representNumber of weighting coefficients after discarding, K2The number of weighting coefficients before discarding may be indicated.
The reasons why the terminal device discards a part of the weighting coefficients with non-zero amplitudes may be many. For example, the network device allocates insufficient physical uplink resources for transmitting the CSI report to the terminal device in advance. For example, the network device may incorrectly estimate the rank of the channel, and if the rank of the channel estimated by the network device is 2, the physical uplink resource allocated to the terminal device is allocated based on the rank being 2. However, the rank determined by the terminal device based on the channel measurement is 3, and in this case, the physical uplink resource pre-allocated by the network device may not be able to report all the information of the CSI determined by the terminal device based on the channel measurement to the network device. Among the information indicating the precoding matrix determined by the terminal device based on the channel measurement, the priorities of the spatial vector and the frequency domain vector are high, and the terminal device does not want to discard the indications of the spatial vector and the frequency domain vector. The terminal device may discard some of the determined weighting coefficients with non-zero amplitudes to generate a CSI report with a bit cost less than or equal to the bit cost that can be carried by the physical uplink resource pre-allocated by the network device. For another example, in the weighting coefficients with nonzero amplitudes determined by the terminal device, the amplitude of one part of the weighting coefficients may be much smaller than that of another part of the weighting coefficients, and reporting the weighting coefficients with smaller amplitudes of the part to the network device may not have a significant effect on improving the feedback accuracy.
However, the network device does not know whether the terminal device discards a part of weighting coefficients with nonzero amplitudes when reporting the CSI report. It is often beneficial for the network device to know whether a CSI report reported by the terminal device discards a part of weighting coefficients with non-zero amplitudes. For example, if the terminal device discards a part of the weighting coefficients due to insufficient pre-allocated physical uplink resources, the network device may allocate more physical uplink resources available for transmitting the CSI report to the terminal device at the next scheduling.
Therefore, the terminal device may carry the first indication information in the CSI report to indicate the CSI reportK reported by CSI report1Whether or not the weighting coefficients are all non-zero weighting coefficients determined by the terminal device based on channel measurements, i.e. K as described above2A weighting factor. Alternatively, the first indication information may be used to indicate the K1Whether or not the weighting coefficient is K2All of the weighting coefficients. Alternatively or additionally, the first indication information may be used to indicate K1Whether or not to interact with K2Are equal.
The terminal device may indicate the K in a number of different ways1Whether each weighting coefficient is a weighting coefficient of which all amplitudes determined by the terminal device based on the channel measurement are non-zero. How the terminal device indicates the K through the first indication information will be described in detail below with reference to specific embodiments1Whether each weighting coefficient is a weighting coefficient of which all amplitudes determined by the terminal device based on the channel measurement are non-zero is omitted for the moment.
For convenience of understanding, the following briefly describes a process of determining a spatial vector, a frequency domain vector and a weighting coefficient to be reported by a terminal device based on a codebook feedback mode of dual-domain compression.
The terminal device may perform channel measurement based on a received reference signal, such as CSI-RS, to determine a space vector, a frequency domain vector, and a weighting coefficient for constructing a precoding matrix of each frequency domain unit.
In one implementation, the terminal device may estimate a channel matrix based on the reference signal, and determine precoding vectors of each frequency domain unit on each transmission layer by performing singular value decomposition on the channel matrix or a covariance matrix of the channel matrix, or by performing eigenvalue decomposition on the covariance matrix of the channel matrix. It should be understood that the specific method for determining the precoding vector based on the channel measurement may refer to the prior art, and a detailed description of the specific procedure is omitted here for brevity.
The terminal device may construct a space-frequency matrix corresponding to each transmission layer according to the precoding vector of each frequency domain unit on each transmission layer, and may determine at least one space-domain vector to be reported, at least one frequency-domain vector, and at least one weighting coefficient corresponding to at least one space-frequency vector pair by performing space-domain and frequency-domain DFT on the space-frequency matrix.
As mentioned above, alternatively, Z transport layers may use independent spatial vectors respectively, and the L spatial vectors reported by the terminal device based on the Z transport layers may include, for example, a sum of spatial vectors reported by each transport layer.
Alternatively, Z transport layers may use respective independent frequency domain vectors, and the M frequency domain vectors reported by the terminal device based on the Z transport layers may include, for example, a sum of the frequency domain vectors reported separately for each transport layer.
Alternatively, the Z transport layers may share L space vectors. The terminal device may perform a spatial DFT based on the spatial-frequency matrices of the Z transmission layers to determine the stronger L spatial vectors.
Alternatively, Z transport layers may also share M frequency domain vectors. The terminal device may perform a frequency domain DFT based on the space-frequency matrices of the Z transmission layers to determine the stronger M frequency domain vectors.
Alternatively, the Z transmission layers may be divided into a plurality of transmission layer groups, one or more transmission layers in the same transmission layer group may share a spatial vector and/or a frequency domain vector, and transmission layers from different transmission layer groups may use respective independent spatial vectors and/or frequency domain vectors.
Take the example of the same transmission layer group sharing space vector. The terminal device may perform a spatial DFT based on the spatial-frequency matrix of one or more transmission layers in the same transmission layer group to determine a stronger at least one spatial vector. The at least one spatial vector may be a portion of the L spatial vectors reported by the terminal device.
In the following, it is assumed that Z transmission layers share L spatial vectors, and each of the Z transmission layers uses a separate frequency domain vector and weighting coefficient. For the z-th transmission layer, the terminal equipment can feed back MzA sum of frequency domain vectors consisting of 2L × MzAnd weighting coefficients corresponding to part or all of the space-frequency vector pairs. Wherein, 2L is multiplied by MzOne space-frequency vector pair represents twoThe total number of space-frequency vectors in the polarization direction.
Since the L space vectors are space vectors shared by the Z transmission layers, the terminal device may determine the L space vectors based on a space-frequency matrix of one of the Z transmission layers, for example, the terminal device may determine the L space vectors based on a space-frequency matrix of a 1 st transmission layer of the Z transmission layers; the terminal device may also determine the L space vectors based on the space-frequency matrix for each of the Z transmission layers.
In one implementation, the terminal device may perform spatial DFT on the spatial-frequency matrix of each of the Z transmission layers to determine stronger L spatial vectors. The space-domain DFT performed on each space-frequency matrix may be represented by the formula C' ═ Us HHzTo be implemented. Wherein HzA space-frequency matrix representing the z-th transport layer. For dual polarized directional antennas, the dimension of the space-frequency matrix may be 2Ns×N3. The HzCan be a space-frequency matrix in each of two polarization directions with a dimension of Ns×N3(ii) a Or a space-frequency matrix with two polarization directions and a dimension of 2Ns×N3. This is not a limitation of the present application.
UsRepresenting a plurality (e.g., N) of a predefined set of spatial vectorssOnes) of the space-domain vectors. Here, for the sake of distinction and explanation, a matrix U constructed of a plurality of spatial vectors for performing spatial DFT to determine a spatial vector for constructing a precoding matrix will be describedsReferred to as the spatial domain base. U shapesFor example, it may be the set of spatial vectors B as defined above without oversamplingsOr some subset of the oversampled set of spatial vectors, e.g.
Figure BDA0002047990790000221
The dimension of which may be Ns×NsTo correspond to a space-frequency matrix in one polarization direction; alternatively, the set of spatial vectors B may be defined as abovesOr
Figure BDA0002047990790000222
Determining, e.g. by assembling B spatial vectorssOr
Figure BDA0002047990790000223
Splicing to obtain, e.g.
Figure BDA0002047990790000224
Or
Figure BDA0002047990790000225
The dimension of which may be 2Ns×2NsTo correspond to the space-frequency matrix in both polarization directions.
C' represents coefficient matrix obtained by spatial DFT, and dimension can be L multiplied by NsOr, 2L × 2Ns
Taking the value of Z in the range of 1 to Z, 2Z dimensions L multiplied by N obtained by space domain DFT can be obtainedsOr, Z dimensions are 2L x 2NsThe coefficient matrix of (2). Wherein 2Z dimensions are L multiplied by NsComprises Z coefficient matrices corresponding to each of the two polarization directions.
The terminal device may determine the stronger L space vectors based on the multiple coefficient matrices in one polarization direction, or may determine the stronger L space vectors based on the multiple coefficient matrices in two polarization directions. The stronger L spatial vectors may be spatial vectors shared by the Z transport layers, both polarization directions. For example, the terminal device may determine the square of the modulus and L rows larger in the square of the modulus according to the square and size of the modulus of each row element in each coefficient matrix in the same polarization direction. The ordinal numbers of L rows where the square sum of the modes determined by the Z coefficient matrices is large may be the ordinal numbers of L columns in the spatial base, and thus L spatial vectors may be determined.
M reported by terminal equipment aiming at z-th transmission layerzThe frequency domain vectors may be determined based on a space-frequency matrix of the z-th transmission layer. The DFT of the space-frequency matrix of the z-th transmission layer in the space domain and the frequency domain may be performed, for example, by the formula C ═ Us HHzUfTo realizeAlternatively, C' may be U as described aboves HHzFurther right-multiplying by U on the basis offThus obtaining the product. For a dual-polarized antenna, the resulting coefficient matrix C may have dimensions of 2 lxmz
Where C denotes a coefficient matrix obtained by spatial and frequency domain DFT. U shapefRepresenting a plurality (e.g. N) of a predefined set of frequency domain vectors3N) space-domain vector constructed matrix whose dimension may be N3×N3。UfFor example, it may be the set of spatial vectors B as defined above without oversamplingfOr some subset of the oversampled set of spatial vectors, e.g.
Figure BDA0002047990790000226
Here, for the sake of distinction and explanation, the matrix U constructed for performing frequency domain DFT to determine a plurality of frequency domain vectors for constructing a precoding matrix will be usedfReferred to as the frequency domain basis.
The terminal device can determine the stronger M from the coefficient matrix CzAnd (4) columns. The terminal device may determine M, which is the larger of the square sum of the modes, for example, according to the square sum of the modes of each column element in the coefficient matrix CzAnd (4) columns. The stronger M in the coefficient matrix CzThe columns may be used to determine the M selected in the frequency domain basiszA frequency domain vector. E.g. stronger M in coefficient matrix CzThe sequence number of each column may be M selected in the frequency domain basiszThe sequence number of each column vector, from which M can be determinedzA frequency domain vector.
Further, a weighting coefficient corresponding to each space-frequency vector pair can be determined from the coefficient matrix C. As mentioned above, the L-th row in the coefficient matrix C may correspond to the L-th spatial vector in the first polarization direction in the 2L spatial vectors, and the L + L-th row in the coefficient matrix C may correspond to the L-th spatial vector in the second polarization direction in the 2L spatial vectors. The mth column in the coefficient matrix C may correspond to MzM-th in frequency domain vectorzA frequency domain vector.
It should be understood that the methods for determining the spatial vectors, the frequency domain vectors, and the weighting coefficients provided above are only examples, and should not constitute any limitation to the present application. The method for determining the spatial vector, the frequency domain vector, and the weighting factor may be the same as the method for determining the beam vector and the weighting factor thereof in the feedback manner of the type ii (type ii) codebook defined in TS38.214 version 15(release 15, R15) in the NR protocol, for example. Furthermore, the terminal device may determine the spatial vector, the frequency domain vector, and the weighting factor by an existing estimation method, such as a multiple signal classification algorithm (MUSIC), a Bartlett (Bartlett) algorithm, or a rotation invariant subspace algorithm (ESPRIT). For the sake of brevity, no further illustration is provided here. In addition, the sequencing order of determining the space domain vector, the frequency domain vector and the weighting coefficient is not limited in the application.
It should also be understood that the specific process of determining the spatial vector, the frequency domain vector and the weighting coefficient by the terminal device is described above only by taking Z transmission layers, two polarization directions sharing L spatial vectors, and each transmission layer uses a separate frequency domain vector as an example. This should not be construed as limiting the application in any way. When Z transmission layers use independent spatial vectors or two polarization directions use independent spatial vectors, the terminal device can still determine the spatial vectors, the frequency domain vectors and the weighting coefficients in a similar manner as described above.
It should be noted that, when the predefined spatial vector set includes multiple subsets obtained by oversampling and spreading, and/or when the predefined frequency domain vector set includes multiple subsets obtained by oversampling and spreading, the specific process of the terminal device performing spatial and frequency domain DFT on the spatial frequency matrix to determine the spatial vector, the frequency domain vector, and the weighting coefficient is similar to that described in the prior art. A detailed description of this particular process is omitted here for the sake of brevity.
After determining the space vector, the frequency domain vector and the weighting coefficient for constructing the precoding matrix, the terminal equipment can report to the network equipment through the CSI report so that the network equipment can recover the precoding matrixAnd encoding the matrix. As described above, in the 2 lxm weighting coefficients corresponding to the 2 lxm space-frequency vector pairs determined by the terminal device, the terminal device only needs to report K at most0The number of weighting coefficients actually reported by the terminal equipment is K1A, K1≤K0
Terminal equipment reports K through CSI report1The weighting coefficients may be indicated by quantized values, indexes of quantized values, or unquantized values, and the application is not limited to the manner of indicating the weighting coefficients, as long as the opposite end knows the weighting coefficients. In the embodiments of the present application, for convenience of explanation, information indicating weighting coefficients is referred to as quantization information of the weighting coefficients. The quantization information may be, for example, a quantization value, an index, or any other information that may be used to indicate a weighting coefficient.
In a possible implementation manner, the terminal device may indicate the weighting coefficients in a normalized manner. For example, the terminal device may be selected from the K1Determining the most modulo weighting factor among the weighting factors (e.g., as the largest weighting factor) and indicating that the largest weighting factor is at K1The position in the weighting factor. The terminal device may further indicate the remaining K1-the relative value of 1 weighting factor with respect to the maximum weighting factor. The terminal device may indicate the K by a quantization value index of each relative value1-1 weighting factor. For example, the network device and the terminal device may define in advance a one-to-one correspondence relationship between a plurality of quantized values and a plurality of indexes, and the terminal device may feed back, to the network device, a relative value of each of the weighting coefficients with respect to the maximum weighting coefficient based on the one-to-one correspondence relationship. Since the terminal device quantizes each weighting coefficient, and the quantized value may be the same as or close to the actual value, the quantized value is called the quantized value of the weighting coefficient.
It should be understood that the way in which the weighting coefficients are indicated by way of normalization, as listed above, is only one possible implementation and should not constitute any limitation to the present application. The present application does not limit the specific manner in which the terminal device indicates the weighting factor.
It should be noted that the above-mentioned normalization may be to determine the maximum weighting coefficient in units of each polarization direction, or may be to determine the maximum weighting coefficient among the weighting coefficients corresponding to a plurality of polarization directions, that is, to determine the maximum weighting coefficient in units of a plurality of polarization directions. The unit of normalization is not limited in this application.
It should also be understood that the first indication is used to indicate K1The weighting factors, when present, may be indicated directly or indirectly. For example, for the maximum weighting coefficient, it may be indicated as being at K1A position in the weighting coefficient; for another example, for a weighting factor with a zero quantization value, it may also be indicated as being at K1The position in the weighting factor. In other words, the first indication information does not necessarily indicate K1Each of the weighting coefficients. As long as the network device can recover K according to the first indication information1A weighting factor.
In addition, when the terminal device reports the L space vectors and the M frequency domain vectors through the first indication information, the terminal device may also report through a plurality of different methods.
For example, the terminal device may indicate the L spatial vectors by the index of the combination of the L spatial vectors, or may indicate the L spatial vectors by the indices of the L spatial vectors, respectively. When the spatial vector set is expanded into a plurality of subsets by the oversampling factor, the terminal device may further indicate, by the first indication information, indexes of the subsets to which the L spatial vectors belong.
For another example, the terminal device may indicate the frequency domain vector by an index of a combination of one or more frequency domain vectors corresponding to each transport layer, e.g., by M for the z-th transport layerzIndex of combination of frequency domain vectors to indicate MzA frequency domain vector; the terminal equipment can also pass through MzRespective indexes of the frequency domain vectors to respectively indicate the MzA frequency domain vector. When the frequency domain vector set is expanded into a plurality of subsets by the oversampling factor, the terminal device may further indicate the M through the CSI reportzA frequency domain vectorThe index of the subset to which it belongs.
It should be understood that the specific methods for indicating the spatial vector, the frequency domain vector and the weighting coefficient by the CSI report by the terminal device listed above are only examples, and should not constitute any limitation to the present application. The terminal device may indicate the spatial vector, the frequency domain vector and the weighting coefficient by using the methods provided in the prior art.
For example, the terminal device may determine the number of weighting coefficients that can be actually reported according to the bit overhead that can be carried by the physical uplink resource pre-allocated by the network device. As described above, the bit overhead of the first part of the CSI report may be predetermined, and therefore, the terminal device may determine the maximum bit overhead that can be carried by the second part of the CSI report according to the bit overhead that can be carried by the physical uplink resource pre-allocated by the network device.
Suppose that bit overhead that can be carried by physical uplink resources pre-allocated by a network device for a terminal device is X0Bit, the bit overhead of the first part of the CSI report being X1Bit, remaining bit overhead available to carry the second part of the CSI report is X2Bit, X2=X0-X1. And assumes that the terminal device is based on channel measurements and K0Number K of determined weighting coefficients with all non-zero amplitudes1The determined number of bits Q required for the second part of the CSI report.
If Q is greater than X2Then the terminal device may be based on X2Bit discard K1The overhead of a portion of the weighting coefficients, and thus the second portion of the CSI report, may be X2A bit. It will be appreciated that the bit overhead required by the terminal device after discarding a portion of the weighting coefficients may be less than X2Bits, e.g. X3Bit, X3<X2In this case, the terminal device can be padded by padding (padding) bits. For example at X3The bits being filled with a predefined value, e.g. zero, or, at K1The quantization information of each weighting coefficient is filled to the X according to a predefined rule2In a bit, the X will be exceeded2Q-X of bits2Direct bit discard, etc. The application generates X for the terminal device2The specific method of the CSI report of bits second part is not limited.
If Q is less than or equal to X2The terminal device may generate a second portion of the CSI report based on the qbit. The second part of the CSI report is Q bits.
It should be noted that the number of bits Q required for the second part of the CSI report determined by the terminal device is not based on K alone1The weighting coefficients are determined, and the terminal device may further determine the number of bits required by the second part of the CSI report by combining information carried in the second part of the CSI report, such as information of an indication of a space-domain vector, an indication of a frequency-domain vector, and a position of a weighting coefficient. It should be understood that the present application is not limited to the specific content of the information contained in the CSI report second part. As long as the network device and the terminal device negotiate in advance the information carried in the second part of the CSI report.
In step 230, the terminal device transmits the CSI report. Correspondingly, in step 230, the network device receives the CSI report.
The terminal device may send the CSI report to the network device through a physical uplink resource, such as a Physical Uplink Shared Channel (PUSCH) or a Physical Uplink Control Channel (PUCCH), so that the network device determines, based on the CSI report, a space-frequency vector pair reported for each transmission layer, so as to recover a precoding vector corresponding to each frequency domain vector on each transmission layer.
The specific method for the terminal device to send the CSI report to the network device through the physical uplink resource may be the same as that in the prior art, and a detailed description of a specific process is omitted here for brevity.
In step 240, the network device determines K from the CSI report1A weighting coefficient and the K1Whether the weighting coefficient is the number K reported by the terminal equipment based on the preconfigured weighting coefficient0All determined weighting coefficients with non-zero amplitudes.
Network deviceAfter receiving the CSI report, the first part of the CSI report may be decoded according to a predefined length of the first part. After parsing the first portion of the CSI report, a length of a second portion of the CSI report may be determined, which may then be decoded. Thus, the terminal device can determine K from the quantization information of the weighting coefficient1A weighting coefficient, and determining the K according to the first indication information1Whether the weighting coefficient is the number K reported by the terminal equipment based on the preconfigured weighting coefficient0All determined weighting coefficients with non-zero amplitudes.
The network equipment determines K according to the quantitative information of the weighting coefficient1The specific process of the weighting coefficients can refer to the prior art, and a detailed description of the specific process is omitted here for the sake of brevity. In addition, determining the K by the network device based on the CSI report is described in detail below with reference to specific embodiments1Whether the weighting coefficient is the number K reported by the terminal equipment based on the preconfigured weighting coefficient0The specific method of determining all the weighting coefficients with non-zero amplitudes is omitted for brevity.
Optionally, the method 200 further includes step 250, the network device determines a precoding matrix of one or more frequency domain units according to the CSI report.
The network equipment can determine the space vector, the frequency domain vector and the weighting coefficient reported by the terminal equipment according to the CSI report.
The specific process of analyzing the CSI report by the network equipment is similar to the specific process of generating the CSI report by the terminal equipment. A detailed description of this particular process is omitted here for the sake of brevity. In addition, the specific processes related to decoding may refer to the prior art, and a detailed description of the specific processes is omitted here for the sake of brevity.
L space vectors reported by the terminal equipment are assumed to be space vectors shared by Z transmission layers; m frequency domain vectors reported by the terminal equipment are all frequency domain vectors reported aiming at Z transmission layers, wherein M iszThe frequency domain vector is reported by aiming at the z-th transmission layer; reported by terminal equipmentK1The weighting coefficients are all weighting coefficients reported for Z transport layers, where K iszThe weighting coefficients are the weighting coefficients reported for the z-th transport layer. Then, the L space vectors and M reported for the z-th transport layerzA sum of frequency domain vectors KzThe weighting coefficients may be used to construct a space-frequency matrix for the z-th transmission layer. The space-frequency matrix of the z-th transmission layer can be formed by the L space-frequency vectors and MzAnd weighting and summing the space-frequency component matrixes constructed by the frequency domain vectors. Thereby, a precoding vector of one or more frequency domain units on the z-th transmission layer can be obtained.
Thereafter, the network device may base its operation on the nth (1 ≦ N ≦ N) of each transport layer3And n is an integer) of the precoding vectors determined by the frequency domain units can construct a precoding matrix corresponding to the nth frequency domain unit. For example, the precoding vectors corresponding to the nth frequency domain unit are sequentially arranged according to the sequence from the 1 st transmission layer to the Z th transmission layer in the Z transmission layers, and are normalized, so that the precoding matrix corresponding to the nth frequency domain unit can be obtained.
It should be understood that the above-described method for determining the precoding vector corresponding to each frequency domain unit on each transmission layer based on the spatial vector, the frequency domain vector and the weighting coefficient indicated in the CSI report, and then determining the precoding matrix corresponding to each frequency domain unit is only an example, and should not constitute any limitation to the present application. The specific method for determining the precoding matrix based on the space domain vector, the frequency domain vector and the weighting coefficient by the network device is not limited in the application.
How the terminal device indicates whether the terminal device discards the weighting factor through the first indication information, how the network device determines whether the terminal device discards the weighting factor according to the first indication information, and how the network device estimates the length of the second part of the CSI report in the case that the terminal device discards the weighting factor will be described in detail below with reference to specific embodiments.
Optionally, the first indication information includes K1And K2Is indicated.
As an example, the K1Is indicated toIn the second part of the CSI report, the K2Is carried in the first part of the CSI report.
For example, the K1May be determined by a bitmap of length 2L × M in the CSI report second part. Each bit in the bitmap may correspond to a space-frequency vector pair, and each bit may be used to indicate whether the corresponding space-frequency vector pair reports a weighting coefficient, that is, whether the corresponding space-frequency vector pair is used to construct a precoding matrix. For example, when a bit in the bitmap is "0", it indicates that the weighting coefficient corresponding to the space-frequency vector pair corresponding to the bit is not reported; when a bit in the bitmap is "1", it indicates that the weighting coefficient corresponding to the space-frequency vector pair corresponding to the bit is reported. Based on each bit in the bitmap, the network device can determine the total number K of weighting coefficients actually reported by the terminal device1
K2Can be obtained by
Figure BDA0002047990790000261
One bit.
Figure BDA0002047990790000262
One bit may be used to indicate K0And optional values are selected. Due to K2≤K0Therefore, it is
Figure BDA0002047990790000263
One bit may be used to indicate K2Any possible value of (a).
K2May also be determined by summing the number of weighting coefficients having non-zero magnitudes determined for each of the Z transmission layers. As described above, the sum of the number of weighting coefficients with non-zero amplitude respectively determined by the terminal device for each of the Z transmission layers should be less than or equal to K0When the total number of the weighting coefficients with non-zero amplitude determined by the terminal equipment is more than K0The number of weighting coefficients with non-zero amplitude determined for each transmission layer is based on the pre-configured weightingNumber of reported coefficients K0And the number of weighting coefficients with nonzero amplitude that are determined by channel measurement and are expected to be fed back for each transmission layer.
It is to be understood that the above list is used to indicate K1Value of (A) and K2The specific manner of the values of (b) is merely an example, and should not constitute any limitation to the present application. The application indicates K to the terminal equipment1Value of (A) and K2The specific manner of the value of (b) is not limited.
When the network equipment determines K through the first indication information1And K2If the values of (A) and (B) are the same, then K is represented1The weighting factors are all non-zero weighting factors determined by the terminal device based on the channel measurement, or the terminal device does not discard the K2Any one of the weighting coefficients; when the network device passes K1And K2Is indicative of determined K1And K2Of different values, e.g. K1<K2Then, it represents the K1The weighting factors are not all non-zero weighting factors determined by the terminal device based on the channel measurement, or the terminal device discards K2A portion of the weighting coefficients.
Further, when the network device determines that the terminal device discarded K based on the first part of the CSI report1A portion of the weighting coefficients may be used to decode a second portion of the CSI report based on a pre-allocated number of bits. The pre-allocated number of bits described herein may be based on the number of bits X pre-allocated to the terminal device for transmitting the CSI report by the network device0And the number X of bits of the first part of the CSI report for which the bit overhead can be predetermined1And (4) determining. Number of bits X preassigned by the network device to the second part of the CSI report2May be equal to X0-X1
When the network device determines that the terminal device has not discarded K based on the first part of the CSI report1Any one of the weighting coefficients may be based on K1The weighting factors estimate a length of the second portion of the CSI report, which is in turn decoded based on the estimated length.
Optionally, the first indication information includes a first indication bit, and the first indication bit is used to indicate the K1Whether the weighting coefficient is the number K reported by the terminal equipment based on the preconfigured weighting coefficient0All determined weighting coefficients with non-zero amplitude, i.e. for indicating the K1Whether or not the weighting coefficient is K2All of the weighting coefficients.
For example, the overhead of the first indicator bit is 1 bit, and when the first indicator bit is set to "0", it indicates that K is present1The weighting coefficient is K2All of the weighting coefficients, i.e. the terminal device does not discard the K2Any one of the weighting coefficients; when the first indication bit is set to '1', it indicates that K is1The weighting coefficient is K2Part of the weighting coefficients, i.e. the terminal device discards the K2Some of the weighting coefficients.
It should be understood that the meaning represented by the different values in the first indication bit may be determined according to a preset rule, and the meaning corresponding to the different values is not limited in the present application.
As an embodiment, the first indication bit is carried in the second part of the CSI report. As another embodiment, the first indication bit is carried in a first part of a CSI report.
Optionally, the first indication information includes a second indication bit indicating K2And the number of weighting coefficients which do not pass the CSI report in the weighting coefficients.
For example, the second indication bit may be passed
Figure BDA0002047990790000271
One bit. The
Figure BDA0002047990790000272
One bit may be used to indicate K0And optional values are selected. Due to K2≤K0Therefore, it is
Figure BDA0002047990790000273
One bit may be used to indicate K2Any possible value of (a).
As another example, the second indicator bit may be passed
Figure BDA0002047990790000274
One bit. The
Figure BDA0002047990790000275
One bit may be used to indicate K0-K1+1 optional values. The reporting number of the weighting coefficients pre-configured by the network equipment is K0The number of weighting coefficients actually reported by the terminal equipment is K1So that the number of the weight coefficients discarded by the terminal equipment does not exceed K0-K1And (4) respectively. Plus the possible case of not dropping the weighting coefficients, i.e., K0-K1Is 0, the K0-K1The +1 selectable values may include K, which is the number of weighting coefficients that are not reported by the CSI report0-K1+1 possible values.
As an embodiment, the second indication bit is carried in the first part of the CSI report. As another embodiment, the second indication bit is carried in a second part of the CSI report.
The CSI report may carry K in addition to the first indication bit or the second indication bit1Is indicated.
Optionally, the first part of the CSI report carries K1Is indicated.
Wherein, K1Can be obtained by
Figure BDA0002047990790000276
One bit.
Figure BDA0002047990790000277
One bit may be used to indicate K0And optional values are selected. Due to K1≤K0Therefore, it is
Figure BDA0002047990790000278
One bit may be used to indicate K1Any possible value of (a).
K1The value of (c) may also be determined by the sum of the number of weighting coefficients actually reported for each of the Z transport layers.
It is to be understood that the above list is used to indicate K1The specific way of (A) is merely an example, and the application is for K1The specific indication of the value of (b) is not limited.
When K is1When the indication of (is) carried in the first part of the CSI report, the network device may be directly dependent on K1Estimates the length of the second part of the CSI report.
Several specific forms of the first indicator are listed above, but it should be understood that this should not constitute any limitation to the present application. The method and the device for indicating the weight coefficient discarding of the terminal device are not limited by the application, and the specific form and the overhead of the first indication information are not limited by the method and the device for indicating whether the terminal device discards the weight coefficient.
Based on the method, the terminal device indicates whether the weighting coefficient reported by the terminal device is based on K or not by carrying the first indication information in the CSI report0And all the weighting coefficients with nonzero amplitudes determined by the channel measurement, so that the network equipment can determine the K reported by the terminal equipment based on the CSI report1A weighting factor and determining whether the reported weighting factor is based on K0And all non-zero amplitude weighting coefficients determined by the channel measurements. Based on this, the network device may parse the first part of the CSI report according to the predefined format of the CSI report, and estimate the length of the second part of the CSI report, thereby completing correct decoding of the second part of the CSI report. The network device can thus determine the precoding matrix for data transmission based on the information in the CSI report, thus facilitating improved system transmission performance.
In addition, the network device knows whether the terminal device discards the weighting coefficient, and can also consider that more physical uplinks are allocated to the terminal device in the next schedulingA resource for transmitting a CSI report. On the contrary, if the network device does not know that the terminal device discards a part of weighting coefficients with nonzero amplitudes when reporting the CSI report, the network device does not infer that the physical uplink resources allocated to the terminal device during the scheduling are insufficient. During the next scheduling, the terminal device may still be allocated with the same size of resources, and each time the terminal device reports, a part of weighting coefficients with nonzero amplitudes may be discarded. This may seriously affect the feedback accuracy, which is not favorable for improving the data transmission performance. In this embodiment, the network device may determine, according to the first indication information, whether the physical uplink resource allocated to the terminal device in the last scheduling is sufficient, that is, the network device may obtain information, such as K, based on the information obtained in the last scheduling in the next scheduling2And allocating appropriate physical uplink resources for the terminal equipment. Therefore, the feedback precision is improved, and the transmission performance is improved.
The method provided by the embodiment of the present application is described in detail above with reference to fig. 2. Hereinafter, the apparatus provided in the embodiment of the present application will be described in detail with reference to fig. 3 to 5.
Fig. 3 is a schematic block diagram of a communication device provided in an embodiment of the present application. As shown in fig. 3, the communication device 1000 may include a processing unit 1100 and a transceiving unit 1200.
In one possible design, the communication apparatus 1000 may correspond to the terminal device in the above method embodiment, and may be, for example, the terminal device or a chip configured in the terminal device.
In particular, the processing unit 1100 is configured to generate a CSI report comprising K1Quantization information and first indication information of the weighting coefficients; wherein, K is1The weighting coefficients being weighting coefficients of non-zero amplitude, K1The weighting coefficients are used for constructing a precoding matrix corresponding to one or more frequency domain units; the first indication information is used for indicating the K1Whether the weighting coefficients are the number K reported by the device 1000 based on the pre-configured weighting coefficients0All determined weighting coefficients with non-zero amplitudes, the device 1000 being based on K0Determined weighting system for all amplitudes non-zeroThe number of the numbers is K2,K1≤K2≤K0,K0、K1And K2Are all positive integers; transceiving unit 1200 is configured to transmit the CSI report.
Optionally, the transceiver unit 1200 is further configured to receive second indication information, where the second indication information is used to report the number K of the weighting coefficients configured for the terminal device0
Optionally, the first indication information includes K1And K2Is indicated.
Alternatively, the K2Is carried in the first part of the CSI report, the K1Is carried in the second part of the CSI report.
Optionally, the first indication information includes a first indication bit, and the first indication bit is used to indicate the K1Whether the weighting coefficient is the number K reported by the terminal equipment based on the pre-configured weighting coefficient0All determined weighting coefficients with non-zero amplitudes.
Optionally, the first indication bit is carried in a second part of the CSI report.
Optionally, the first indication information includes a second indication bit indicating K2And the number of weighting coefficients which do not pass the CSI report in the weighting coefficients.
Optionally, the overhead of the second indication bit is
Figure BDA0002047990790000281
Bit, with K0-K1+1 optional values correspond; wherein, K0Reporting a number, K, for a preconfigured weighting factor0Is a positive integer; the K is0-K1The +1 selectable values include K which is the number of weighting coefficients not reported by the CSI report0-K1+1 possible values.
Optionally, the second indication bit is carried in a second part of the CSI report.
Optionally, the first part of the CSI report comprises K1Is indicated.
Alternatively, if based on K2The number Q of bits required for the second part of the CSI report determined by the weighting factors is greater than the number X of bits pre-allocated2The overhead of the second part of the CSI report is X2A bit; or
If based on this K2The number Q of bits required for the second part of the CSI report determined by the weighting factors is less than or equal to the number X of bits pre-allocated2The overhead of the second part of the CSI report is qbit;
wherein, X2=X0-X1,X0For pre-allocated number of bits, X, used for transmitting CSI reports1A number of bits used for transmitting a first portion of the CSI report; x0>X1,Q、X1、X2And X0Are all positive integers.
It should be understood that the communication apparatus 1000 may correspond to the terminal device in the method 200 according to the embodiment of the present application, and the communication apparatus 1000 may include a unit for performing the method performed by the terminal device in the method 200 in fig. 2. Also, the units in the communication device 1000 and the other operations and/or functions described above are respectively for implementing the corresponding flows of the method 200 in fig. 2.
When the communication device 1000 is used to execute the method 200 in fig. 2, the processing unit 1100 may be used to execute the step 210 in the method 200, and the transceiver unit 1200 may be used to execute the steps 220 and 230 in the method 200. It should be understood that the specific processes of the units for executing the corresponding steps are already described in detail in the above method embodiments, and therefore, for brevity, detailed descriptions thereof are omitted.
It is further understood that when the communication apparatus 1000 is a terminal device, the transceiver unit 1200 in the communication apparatus 1000 may correspond to the transceiver 2020 in the terminal device 2000 shown in fig. 4, and the processing unit 1100 in the communication apparatus 1000 may correspond to the processor 2010 in the terminal device 2000 shown in fig. 4.
It should also be understood that when the communication device 1000 is a chip configured in a terminal device, the transceiver unit 1200 in the communication device 1000 may be an input/output interface.
In another possible design, the communication apparatus 1000 may correspond to the network device in the above method embodiment, and may be, for example, a network device or a chip configured in a network device.
Specifically, the transceiving unit 1200 is configured to receive a CSI report; the CSI report includes K1Quantization information and first indication information of the weighting coefficients; wherein, K is1The weighting coefficients being weighting coefficients of non-zero amplitude, K1The weighting coefficients are used for constructing a precoding matrix corresponding to one or more frequency domain units; the first indication information is used for indicating the K1Whether the weighting coefficients are the number K reported by the device 1000 based on the pre-configured weighting coefficients0All determined weighting coefficients with non-zero amplitudes, the device 1000 being based on K0The determined number of all the weighting coefficients with nonzero amplitude is K2,K1≤K2≤K0,K0、K1And K2Are all positive integers; the processing unit 1100 is configured to determine K according to the CSI report1A weighting coefficient and the K1Whether the weighting coefficients are the number K reported by the device 1000 based on the pre-configured weighting coefficients0All determined weighting coefficients with non-zero amplitudes.
Optionally, the transceiver unit 1200 is further configured to receive second indication information, where the second indication information is used to report the number K of the weighting coefficients configured for the terminal device0
Optionally, the first indication information includes K1And K2Is indicated.
Alternatively, the K2Is carried in the first part of the CSI report, the K1Is carried in the second part of the CSI report.
Optionally, the first indication information includes a first indication bit, and the first indication bit is used to indicate the K1Whether the weighting coefficient is the number K reported by the terminal equipment based on the pre-configured weighting coefficient0All determined weighting coefficients with non-zero amplitudes.
Optionally, the first indication bit is carried in a second part of the CSI report.
Optionally, the first indication information includes a second indication bit indicating K2And the number of weighting coefficients which do not pass the CSI report in the weighting coefficients.
Optionally, the overhead of the second indication bit is
Figure BDA0002047990790000291
Bit, with K0-K1+1 optional values correspond; wherein, K0Reporting a number, K, for a preconfigured weighting factor0Is a positive integer; the K is0-K1The +1 selectable values include K which is the number of weighting coefficients not reported by the CSI report0-K1+1 possible values.
Optionally, the second indication bit is carried in a second part of the CSI report.
Optionally, the first part of the CSI report comprises K1Is indicated.
Alternatively, if based on K2The number Q of bits required for the second part of the CSI report determined by the weighting factors is greater than the number X of bits pre-allocated2The overhead of the second part of the CSI report is X2A bit; or, if based on K2The number Q of bits required for the second part of the CSI report determined by the weighting factors is less than or equal to the number X of bits pre-allocated2The overhead of the second part of the CSI report is qbit; wherein, X2=X0-X1,X0For pre-allocated number of bits, X, used for transmitting CSI reports1A number of bits used for transmitting a first portion of the CSI report; x0>X1,Q、X1、X2And X0Are all positive integers.
It should be understood that the communication apparatus 1000 may correspond to the network device in the method 200 according to the embodiment of the present application, and the communication apparatus 1000 may include a unit for performing the method performed by the network device in the method 200 in fig. 2. Also, the units in the communication device 1000 and the other operations and/or functions described above are respectively for implementing the corresponding flows of the method 200 in fig. 2.
Wherein, when the communication device 1000 is used to execute the method 200 in fig. 2, the processing unit 1100 is configured to execute the steps 240 and 250 in the method 200, and the transceiver unit 1200 is configured to execute the steps 220 and 230 in the method 200. It should be understood that the specific processes of the units for executing the corresponding steps are already described in detail in the above method embodiments, and therefore, for brevity, detailed descriptions thereof are omitted.
It should also be understood that when the communication apparatus 1000 is a network device, the transceiving unit in the communication apparatus 1000 may correspond to the transceiver 3200 in the network device 3000 shown in fig. 5, and the processing unit 1100 in the communication apparatus 1000 may correspond to the processor 3100 in the network device 3000 shown in fig. 5.
It should also be understood that when the communication device 1000 is a chip configured in a network device, the transceiver unit 1200 in the communication device 1000 may be an input/output interface.
Fig. 4 is a schematic structural diagram of a terminal device 2000 according to an embodiment of the present application. The terminal device 2000 can be applied to the system shown in fig. 1, and performs the functions of the terminal device in the above method embodiment. As shown in fig. 4, the terminal device 2000 includes a processor 2010 and a transceiver 2020. Optionally, the terminal device 2000 further comprises a memory 2030. The processor 2010, the transceiver 2002 and the memory 2030 may be in communication with each other via the interconnection path to transfer control and/or data signals, the memory 2030 may be used for storing a computer program, and the processor 2010 may be used for retrieving and executing the computer program from the memory 2030 to control the transceiver 2020 to transmit and receive signals. Optionally, the terminal device 2000 may further include an antenna 2040, configured to transmit uplink data or uplink control signaling output by the transceiver 2020 by using a wireless signal.
The processor 2010 and the memory 2030 may be combined into a processing device, and the processor 2010 is configured to execute the program codes stored in the memory 2030 to achieve the above functions. In particular, the memory 2030 may be integrated with the processor 2010 or may be separate from the processor 2010. The processor 2010 may correspond to the processing unit in fig. 3.
The transceiver 2020 may correspond to the transceiver unit in fig. 3, and may also be referred to as a transceiver unit. The transceiver 2020 may include a receiver (or receiver, receiving circuit) and a transmitter (or transmitter, transmitting circuit). Wherein the receiver is used for receiving signals, and the transmitter is used for transmitting signals.
It should be understood that terminal device 2000 shown in fig. 4 is capable of implementing various processes involving the terminal device in the method embodiment shown in fig. 2. The operations and/or functions of the modules in the terminal device 2000 are respectively to implement the corresponding flows in the above-described method embodiments. Reference may be made specifically to the description of the above method embodiments, and a detailed description is appropriately omitted herein to avoid redundancy.
The processor 2010 may be configured to perform the actions described in the preceding method embodiments that are implemented within the terminal device, and the transceiver 2020 may be configured to perform the actions described in the preceding method embodiments that the terminal device transmits to or receives from the network device. Please refer to the description of the previous embodiment of the method, which is not repeated herein.
Optionally, the terminal device 2000 may further include a power supply 2050 for supplying power to various devices or circuits in the terminal device.
In addition, in order to further improve the functions of the terminal device, the terminal device 2000 may further include one or more of an input unit 2060, a display unit 2070, an audio circuit 2080, a camera 2090, a sensor 2100, and the like, and the audio circuit may further include a speaker 2082, a microphone 2084, and the like.
Fig. 5 is a schematic structural diagram of a network device provided in the embodiment of the present application, which may be a schematic structural diagram of a base station, for example. The base station 3000 can be applied to the system shown in fig. 1, and performs the functions of the network device in the above method embodiment. As shown in fig. 5, the base station 3000 may include one or more radio frequency units, such as a Remote Radio Unit (RRU) 3100 and one or more baseband units (BBUs) (which may also be referred to as Distributed Units (DUs)) 3200. The RRU 3100 may be referred to as a transceiver unit and corresponds to the transceiver unit 1100 in fig. 3. Alternatively, the transceiving unit 3100 may also be referred to as a transceiver, transceiving circuit, or transceiver, etc., which may comprise at least one antenna 3101 and a radio frequency unit 3102. Alternatively, the transceiving unit 3100 may include a receiving unit and a transmitting unit, the receiving unit may correspond to a receiver (or receiver, receiving circuit), and the transmitting unit may correspond to a transmitter (or transmitter, transmitting circuit). The RRU 3100 part is mainly used for transceiving and converting radio frequency signals to baseband signals, for example, for sending indication information to a terminal device. The BBU 3200 section is mainly used for performing baseband processing, controlling a base station, and the like. The RRU 3100 and the BBU 3200 may be physically disposed together or may be physically disposed separately, i.e. distributed base stations.
The BBU 3200 is a control center of the base station, and may also be referred to as a processing unit, and may correspond to the processing unit 1200 in fig. 3, and is mainly used for completing baseband processing functions, such as channel coding, multiplexing, modulating, spreading, and the like. For example, the BBU (processing unit) may be configured to control the base station to perform an operation procedure related to the network device in the foregoing method embodiment, for example, to generate the foregoing indication information.
In an example, the BBU 3200 may be formed by one or more boards, and the boards may collectively support a radio access network of a single access system (e.g., an LTE network), or may respectively support radio access networks of different access systems (e.g., an LTE network, a 5G network, or other networks). The BBU 3200 also includes a memory 3201 and a processor 3202. The memory 3201 is used to store necessary instructions and data. The processor 3202 is used for controlling the base station to perform necessary actions, for example, for controlling the base station to execute the operation flow related to the network device in the above method embodiment. The memory 3201 and processor 3202 may serve one or more boards. That is, the memory and processor may be provided separately on each board. Multiple boards may share the same memory and processor. In addition, each single board can be provided with necessary circuits.
It should be appreciated that the base station 3000 shown in fig. 5 is capable of implementing various processes involving network devices in the method embodiment shown in fig. 2. The operations and/or functions of the respective modules in the base station 3000 are respectively for implementing the corresponding flows in the above-described method embodiments. Reference may be made specifically to the description of the above method embodiments, and a detailed description is appropriately omitted herein to avoid redundancy.
BBU 3200 as described above can be used to perform actions described in previous method embodiments as being implemented internally by a network device, while RRU 3100 can be used to perform actions described in previous method embodiments as being sent by or received from a terminal device by a network device. Please refer to the description of the previous embodiment of the method, which is not repeated herein.
It should be understood that the base station 3000 shown in fig. 5 is only one possible architecture of a network device, and should not constitute any limitation to the present application. The method provided by the application can be applied to network equipment with other architectures. E.g. network devices containing CUs, DUs and AAUs etc. The present application is not limited to the specific architecture of the network device.
The embodiment of the application also provides a processing device, which comprises a processor and an interface; the processor is configured to perform the method in the above-described method embodiment.
It is to be understood that the processing means described above may be one or more chips. For example, the processing device may be a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), a system on chip (SoC), a Central Processing Unit (CPU), a Network Processor (NP), a digital signal processing circuit (DSP), a Microcontroller (MCU), a Programmable Logic Device (PLD), or other integrated chips.
In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The steps of a method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware processor, or may be implemented by a combination of hardware and software modules in a processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor. To avoid repetition, it is not described in detail here.
It should be noted that the processor in the embodiments of the present application may be an integrated circuit chip having signal processing capability. In implementation, the steps of the above method embodiments may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The processor described above may be a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.
It will be appreciated that the memory in the embodiments of the subject application can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory. The non-volatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an electrically Erasable EPROM (EEPROM), or a flash memory. Volatile memory can be Random Access Memory (RAM), which acts as external cache memory. By way of example, but not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic Random Access Memory (SDRAM), double data rate SDRAM, enhanced SDRAM, SLDRAM, Synchronous Link DRAM (SLDRAM), and direct rambus RAM (DR RAM). It should be noted that the memory of the systems and methods described herein is intended to comprise, without being limited to, these and any other suitable types of memory.
According to the method provided by the embodiment of the present application, the present application further provides a computer program product, which includes: computer program code which, when run on a computer, causes the computer to perform the method in the embodiment shown in fig. 2.
According to the method provided by the embodiment of the present application, the present application also provides a computer readable medium storing program code, which when run on a computer, causes the computer to execute the method in the embodiment shown in fig. 2.
According to the method provided by the embodiment of the present application, the present application further provides a system, which includes the foregoing one or more terminal devices and one or more network devices.
The network device in the foregoing device embodiments completely corresponds to the terminal device and the network device or the terminal device in the method embodiments, and the corresponding module or unit executes the corresponding steps, for example, the communication unit (transceiver) executes the steps of receiving or transmitting in the method embodiments, and other steps besides transmitting and receiving may be executed by the processing unit (processor). The functions of the specific elements may be referred to in the respective method embodiments. The number of the processors may be one or more.
As used in this specification, the terms "component," "module," "system," and the like are intended to refer to a computer-related entity, either hardware, firmware, a combination of hardware and software, or software in execution. For example, a component may be, but is not limited to being, a process running on a processor, an object, an executable, a thread of execution, a program, and/or a computer. By way of illustration, both an application running on a computing device and the computing device can be a component. One or more components can reside within a process and/or thread of execution and a component can be localized on one computer and/or distributed between 2 or more computers. In addition, these components can execute from various computer readable media having various data structures stored thereon. The components may communicate by way of local and/or remote processes such as in accordance with a signal having one or more data packets (e.g., data from two components interacting with another component in a local system, distributed system, and/or across a network such as the internet with other systems by way of the signal).
Those of ordinary skill in the art will appreciate that the various illustrative logical blocks and steps (step) described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
In the above embodiments, the functions of the functional units may be fully or partially implemented by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions (programs). The procedures or functions described in accordance with the embodiments of the present application are generated in whole or in part when the computer program instructions (programs) are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a Digital Video Disk (DVD)), or a semiconductor medium (e.g., a Solid State Disk (SSD)), among others.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (25)

1. A method for indicating coefficients for constructing a precoding matrix, comprising:
terminal equipment generates a Channel State Information (CSI) report, wherein the CSI report comprises K1Quantization information and first indication information of the weighting coefficients; wherein, K is1A weighting coefficient isA weighting coefficient of non-zero amplitude, said K1The weighting coefficients are used for constructing a precoding matrix corresponding to one or more frequency domain units; the first indication information is used for indicating the K1Whether the weighting coefficient is the number K reported by the terminal equipment based on the pre-configured weighting coefficient0All the determined weighting coefficients with non-zero amplitude are determined, and the terminal equipment is based on K0The determined number of all the weighting coefficients with nonzero amplitude is K2,K1≤K2≤K0,K0、K1And K2Are all positive integers;
and the terminal equipment sends the CSI report.
2. The method of claim 1, wherein the method further comprises:
the terminal equipment receives second indication information, wherein the second indication information is used for indicating the number K of the weight coefficient reports configured for the terminal equipment0
3. The method of claim 1 or 2, wherein the first indication information comprises K1And K2Is indicated.
4. The method of claim 3, wherein K is2Is carried in a first part of the CSI report, the K1Is carried in a second part of the CSI report.
5. The method of claim 1 or 2, wherein the first indication information comprises a first indication bit indicating the K1Whether the weighting coefficient is the number K reported by the terminal equipment based on the pre-configured weighting coefficient0All determined weighting coefficients with non-zero amplitudes.
6. The method of claim 5, wherein the first indication bit is carried in a second portion of the CSI report.
7. The method of claim 1 or 2, wherein the first indication information comprises a second indication bit indicating K2And the number of weighting coefficients which do not pass the CSI report in the weighting coefficients.
8. The method of claim 7, wherein the overhead of the second indicator bit is
Figure FDA0002047990780000011
Bit, with K0-K1+1 optional values correspond; wherein, K0Reporting a number, K, for a preconfigured weighting factor0Is a positive integer; said K0-K1+1 optional values including K for the number of weighting coefficients not reported by the CSI report0-K1+1 possible values.
9. The method of claim 7 or 8, wherein the second indication bit is carried in a second part of the CSI report.
10. The method of any of claims 5-9, wherein the first portion of the CSI report comprises K1Is indicated.
11. The method of any one of claims 1 to 10, wherein K is based2The number Q of bits required for the second part of the CSI report determined by the weighting factors is greater than the number X of bits pre-allocated2The overhead of the second part of the CSI report is X2A bit; or
If based on the K2The number Q of bits required for the second part of the CSI report determined by the weighting factors is less than or equal to the number X of bits pre-allocated2The overhead of the second part of the CSI report is Q bits;
wherein, X2=X0-X1,X0For pre-allocated number of bits, X, used for transmitting CSI reports1A number of bits used for transmitting a first portion of the CSI report; x0>X1,Q、X1、X2And X0Are all positive integers.
12. A method for indicating coefficients for constructing a precoding matrix, comprising:
the network equipment receives a CSI report, wherein the CSI report comprises K1Quantization information and first indication information of the weighting coefficients; wherein, K is1The weighting coefficients are weighting coefficients with non-zero amplitude, K1The weighting coefficients are used for constructing a precoding matrix corresponding to one or more frequency domain units; the first indication information is used for indicating the K1Whether the weighting coefficient is the number K reported by the terminal equipment based on the preconfigured weighting coefficient0All the determined weighting coefficients with non-zero amplitude are determined, and the terminal equipment is based on K0The determined number of all the weighting coefficients with nonzero amplitude is K2,K1≤K2≤K0,K0、K1And K2Are all positive integers;
the network device determines the K according to the CSI report1A weighting coefficient and the K1Whether the weighting coefficient is the number K reported by the terminal equipment based on the pre-configured weighting coefficient0All determined weighting coefficients with non-zero amplitudes.
13. The method of claim 12, wherein the method further comprises:
the network equipment sends second indication information, wherein the second indication information is used for indicating the number K of the weight coefficient reports configured for the terminal equipment0
14. The method of claim 12 or 13, wherein the first step is performed by a first processorThe indication information includes K1And K2Is indicated.
15. The method of claim 14, wherein K is2Is carried in a first part of the CSI report, the K1Is carried in a second part of the CSI report.
16. The method of claim 12 or 13, wherein the first indication information comprises a first indication bit indicating the K1Whether the weighting coefficient is the number K reported by the terminal equipment based on the pre-configured weighting coefficient0All determined weighting coefficients with non-zero amplitudes.
17. The method of claim 16, wherein the first indication bit is carried in a second portion of the CSI report.
18. The method of claim 12 or 13, wherein the first indication information comprises a second indication bit indicating K2And the number of weighting coefficients which do not pass the CSI report in the weighting coefficients.
19. The method of claim 18, wherein the overhead of the second indicator bit is
Figure FDA0002047990780000021
Bit, with K0-K1+1 optional values correspond; wherein, K0Reporting a number, K, for a preconfigured weighting factor0Is a positive integer; said K0-K1+1 optional values including K for the number of weighting coefficients not reported by the CSI report0-K1+1 possible values.
20. The method of claim 18 or 19, wherein the second indication bit is carried in a second portion of the CSI report.
21. The method of any of claims 16-20, wherein the first portion of the CSI report comprises K1Is indicated.
22. The method of any one of claims 12 to 21, wherein K is based2The number Q of bits required for the second part of the CSI report determined by the weighting factors is greater than the number X of bits pre-allocated2The overhead of the second part of the CSI report is X2A bit; or
If based on the K2The number Q of bits required for the second part of the CSI report determined by the weighting factors is less than or equal to the number X of bits pre-allocated2The overhead of the second part of the CSI report is Q bits;
wherein, X2=X0-X1,X0For pre-allocated number of bits, X, used for transmitting CSI reports1A number of bits used for transmitting a first portion of the CSI report; x0>X1,Q、X1、X2And X0Are all positive integers.
23. A communication apparatus, characterized in that it comprises means for implementing the method according to any one of claims 1 to 22.
24. A communications apparatus comprising at least one processor configured to perform the method of any of claims 1-22.
25. A computer-readable medium, comprising a computer program which, when run on a computer, causes the computer to perform the method of any one of claims 1 to 22.
CN201910365436.3A 2019-04-30 2019-04-30 Coefficient indication method and communication device for constructing precoding matrix Active CN111865372B (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
CN202110603660.9A CN113452419A (en) 2019-04-30 2019-04-30 Coefficient indication method and communication device for constructing precoding matrix
CN201910365436.3A CN111865372B (en) 2019-04-30 2019-04-30 Coefficient indication method and communication device for constructing precoding matrix
PCT/CN2020/086593 WO2020221117A1 (en) 2019-04-30 2020-04-24 Coefficient indication method for constructing precoding matrix, and communication apparatus

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910365436.3A CN111865372B (en) 2019-04-30 2019-04-30 Coefficient indication method and communication device for constructing precoding matrix

Related Child Applications (1)

Application Number Title Priority Date Filing Date
CN202110603660.9A Division CN113452419A (en) 2019-04-30 2019-04-30 Coefficient indication method and communication device for constructing precoding matrix

Publications (2)

Publication Number Publication Date
CN111865372A CN111865372A (en) 2020-10-30
CN111865372B true CN111865372B (en) 2021-06-08

Family

ID=72965833

Family Applications (2)

Application Number Title Priority Date Filing Date
CN202110603660.9A Pending CN113452419A (en) 2019-04-30 2019-04-30 Coefficient indication method and communication device for constructing precoding matrix
CN201910365436.3A Active CN111865372B (en) 2019-04-30 2019-04-30 Coefficient indication method and communication device for constructing precoding matrix

Family Applications Before (1)

Application Number Title Priority Date Filing Date
CN202110603660.9A Pending CN113452419A (en) 2019-04-30 2019-04-30 Coefficient indication method and communication device for constructing precoding matrix

Country Status (2)

Country Link
CN (2) CN113452419A (en)
WO (1) WO2020221117A1 (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2022141079A1 (en) * 2020-12-29 2022-07-07 株式会社Ntt都科摩 Terminal and base station
CN116962299B (en) * 2023-09-21 2024-01-19 广东云下汇金科技有限公司 Data center calculation force scheduling method, system, equipment and readable storage medium

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108111200A (en) * 2017-06-16 2018-06-01 中兴通讯股份有限公司 A kind of method and apparatus of information feedback
CN108288983A (en) * 2017-01-09 2018-07-17 中兴通讯股份有限公司 The feedback of channel state information determines method and device
CN108390704A (en) * 2017-02-03 2018-08-10 上海诺基亚贝尔股份有限公司 Method and apparatus for MIMO communications
CN108696304A (en) * 2017-04-06 2018-10-23 索尼公司 Wireless communications method and wireless communication device
CN109075849A (en) * 2016-04-19 2018-12-21 三星电子株式会社 Method and apparatus for the explicit CSI report in advanced wireless communication system

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9986474B2 (en) * 2014-10-14 2018-05-29 Nokia Solutions And Networks Oy Interference and load aware dynamic point selection
US10069652B1 (en) * 2017-02-24 2018-09-04 Chunghwa Telecom Co., Ltd. Reduced-overhead channel estimation method and system thereof for massive MIMO systems

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109075849A (en) * 2016-04-19 2018-12-21 三星电子株式会社 Method and apparatus for the explicit CSI report in advanced wireless communication system
CN108288983A (en) * 2017-01-09 2018-07-17 中兴通讯股份有限公司 The feedback of channel state information determines method and device
CN108390704A (en) * 2017-02-03 2018-08-10 上海诺基亚贝尔股份有限公司 Method and apparatus for MIMO communications
CN108696304A (en) * 2017-04-06 2018-10-23 索尼公司 Wireless communications method and wireless communication device
CN108111200A (en) * 2017-06-16 2018-06-01 中兴通讯股份有限公司 A kind of method and apparatus of information feedback

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
CSI Enhancement for MU-MIMO Support;ZTE;《3GPP TSG RAN WG1 Meeting #96: R1-1903343》;20190301;全文 *
Discussion on CSI enhancement;Huawei 等;《3GPP TSG RAN WG1 Meeting #95: R1-1812242》;20181116;全文 *
Discussion on CSI enhancement;Huawei 等;《3GPP TSG RAN WG1 Meeting #96bis: R1-1903969》;20190412;全文 *
Discussion on Type II CSI compression;Intel Corporation;《3GPP TSG RAN WG1 #95: R1-1812511》;20181116;全文 *
Further discussion on type II CSI compression and feedback for high rank extension;Huawei 等;《3GPP TSG RAN WG1#96bis: R1-1904095》;20190412;全文 *

Also Published As

Publication number Publication date
CN113452419A (en) 2021-09-28
CN111865372A (en) 2020-10-30
WO2020221117A1 (en) 2020-11-05

Similar Documents

Publication Publication Date Title
CN111342873B (en) Channel measurement method and communication device
CN112054825B (en) Channel measurement method and communication device
CN111865377B (en) Method for indicating and determining precoding matrix and communication device
CN112751592B (en) Method and communication device for reporting channel state information
JP7248793B2 (en) Precoding vector indication method, precoding vector determination method, and communication device
CN111342913B (en) Channel measurement method and communication device
CN112533295B (en) Parameter configuration method and communication device
CN111757382B (en) Method for indicating channel state information and communication device
CN112751598B (en) Method for processing precoding matrix and communication device
CN111435850B (en) Vector indication method and communication device for constructing precoding vector
CN113746514A (en) Communication method, device and system
CN111865372B (en) Coefficient indication method and communication device for constructing precoding matrix
CN112312464A (en) Method and communication device for reporting channel state information
WO2020244496A1 (en) Channel measurement method and communication apparatus
CN111756422B (en) Method for indicating channel state information and communication device
CN111835390B (en) Channel measurement method, communication device and computer readable medium
CN111435848B (en) Method for indicating and determining precoding vector and communication device
CN113557684B (en) Vector indication method for constructing precoding vector and communication device
CN110875767B (en) Method and communication device for indicating and determining precoding vector
WO2020135101A1 (en) Vector indication method for constructing precoding vector, and communications device

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant