CN112585885A - Precoding method and communication equipment - Google Patents

Precoding method and communication equipment Download PDF

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CN112585885A
CN112585885A CN201980054905.8A CN201980054905A CN112585885A CN 112585885 A CN112585885 A CN 112585885A CN 201980054905 A CN201980054905 A CN 201980054905A CN 112585885 A CN112585885 A CN 112585885A
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channel information
precoding
matrix
channel
moment
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CN112585885B (en
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陈文洪
史志华
吴朝武
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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    • 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

Abstract

The embodiment of the application relates to a precoding method and communication equipment, wherein the method comprises the following steps: the method comprises the steps that a transmitting terminal obtains first channel information at a first moment and second channel information at a second moment, wherein the first moment and the second moment are moments before a third moment, and the first moment is earlier than the second moment; the transmitting terminal determines a Mean Square Error (MSE) value of a channel according to the first channel information and the second channel information; and the transmitting terminal determines third channel information at a third moment based on the MSE value and the second channel information, wherein the third channel information is used for determining a precoding matrix. The precoding method and the communication equipment in the embodiment of the application can greatly improve the precoding performance.

Description

Precoding method and communication equipment Technical Field
The present application relates to the field of communications, and in particular, to a precoding method and a communication device.
Background
Multiple Input Multiple Output (MIMO) technology is widely used as one of the key technologies of modern wireless communication systems, because it can greatly improve the system capacity and spectral efficiency of the communication system.
In MIMO technology, a network device may transmit transmission symbols from multiple transmit antennas simultaneously, which may significantly improve spectral efficiency, but also bring Inter-Channel Interference (ICI). To address this problem, the network device may eliminate ICI through a precoding technique.
New Radio (NR) systems have high requirements on transmission performance. Therefore, how to further improve the precoding performance when the network device adopts the precoding technology is an urgent problem to be solved.
Disclosure of Invention
The embodiment of the application provides a precoding method and communication equipment, which can greatly improve the precoding performance.
In a first aspect, a method for precoding is provided, the method comprising: a transmitting terminal acquires first channel information at a first moment and second channel information at a second moment, wherein the first moment and the second moment are moments before a third moment, and the first moment is earlier than the second moment; the transmitting terminal determines a Mean Square Error (MSE) value of a channel according to the first channel information and the second channel information; and the transmitting terminal determines third channel information at the third moment based on the MSE value and the second channel information, wherein the third channel information is used for determining a precoding matrix.
In a second aspect, a communication device is provided for performing the method of the first aspect or its implementation manners.
In particular, the communication device comprises functional modules for performing the method of the first aspect or its implementations described above.
In a third aspect, a communication device is provided that includes a processor and a memory. The memory is used for storing a computer program, and the processor is used for calling and running the computer program stored in the memory, and executing the method in the first aspect or each implementation manner thereof.
In a fourth aspect, an apparatus is provided for implementing the method in any one of the above first aspects or implementations thereof.
Specifically, the apparatus includes: a processor configured to call and run the computer program from the memory, so that the device on which the chip is installed performs the method according to any one of the above first aspects or the implementation manners thereof.
Alternatively, the device may be a chip.
In a fifth aspect, a computer-readable storage medium is provided for storing a computer program, which causes a computer to execute the method of any one of the above aspects or implementations thereof.
A sixth aspect provides a computer program product comprising computer program instructions to cause a computer to perform the method of any of the above first aspects or implementations thereof.
In a seventh aspect, a computer program is provided, which, when run on a computer, causes the computer to perform the method of any one of the above first aspects or implementations thereof.
According to the technical scheme, under the condition that the transmitting end adopts the precoding technology, by calculating the MSE values of the two channels and compensating the MSE values to the channel information of the currently determined precoding matrix, a more accurate precoding matrix can be constructed, and the precoding performance can be greatly improved.
Drawings
Fig. 1 is a schematic diagram of a communication system architecture according to an embodiment of the present application.
Fig. 2 is a schematic flow chart of a method of precoding according to an embodiment of the present application.
Fig. 3 is a schematic block diagram of a communication device according to an embodiment of the present application.
Fig. 4 is a schematic block diagram of a communication device according to an embodiment of the present application.
Fig. 5 is a schematic block diagram of an apparatus according to an embodiment of the present application.
Detailed Description
Technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The embodiment of the application can be applied to various communication systems, such as: global System for Mobile communications (GSM) System, Code Division Multiple Access (CDMA) System, Wideband Code Division Multiple Access (WCDMA) System, General Packet Radio Service (GPRS), Long Term Evolution (Long Term Evolution, LTE) System, LTE-a System, New Radio (NR) System, Evolution System of NR System, LTE-a System over unlicensed spectrum, NR (NR-b) System, UMTS (Universal Mobile telecommunications System), UMTS (UMTS) System, WLAN-b System over unlicensed spectrum, WiFi-b System, Wireless Local Area Network (WLAN) System, Wireless Local Area network (WiFi) System, GPRS (General Packet Radio Service, GPRS) System, GPRS (GPRS) System, LTE-b System, LTE-a System, NR System, LTE-b System over unlicensed spectrum, and LTE-b System over unlicensed spectrum, Next generation communication systems or other communication systems, etc.
Generally, conventional Communication systems support a limited number of connections and are easy to implement, however, with the development of Communication technology, mobile Communication systems will support not only conventional Communication, but also, for example, Device-to-Device (D2D) Communication, Machine-to-Machine (M2M) Communication, Machine Type Communication (MTC), and Vehicle-to-Vehicle (V2V) Communication, and the embodiments of the present application can also be applied to these Communication systems.
Optionally, the communication system in the embodiment of the present application may be applied to a Carrier Aggregation (CA) scenario, may also be applied to a Dual Connectivity (DC) scenario, and may also be applied to an independent (SA) networking scenario.
Illustratively, a communication system 100 applied in the embodiment of the present application is shown in fig. 1. The communication system 100 may include a network device 110, and the network device 110 may be a device that communicates with a terminal device 120 (or referred to as a communication terminal, a terminal). Network device 110 may provide communication coverage for a particular geographic area and may communicate with terminal devices located within that coverage area. Optionally, the Network device 110 may be a Base Transceiver Station (BTS) in a GSM system or a CDMA system, a Base Station (NodeB, NB) in a WCDMA system, an evolved Node B (eNB or eNodeB) in an LTE system, or a wireless controller in a Cloud Radio Access Network (CRAN), or may be a Network device in a Mobile switching center, a relay Station, an Access point, a vehicle-mounted device, a wearable device, a hub, a switch, a bridge, a router, a Network-side device in a 5G Network, or a Network device in a Public Land Mobile Network (PLMN) for future evolution, or the like.
The communication system 100 further comprises at least one terminal device 120 located within the coverage area of the network device 110. As used herein, "terminal equipment" includes, but is not limited to, connections via wireline, such as Public Switched Telephone Network (PSTN), Digital Subscriber Line (DSL), Digital cable, direct cable connection; and/or another data connection/network; and/or via a Wireless interface, e.g., to a cellular Network, a Wireless Local Area Network (WLAN), a digital television Network such as a DVB-H Network, a satellite Network, an AM-FM broadcast transmitter; and/or means of another terminal device arranged to receive/transmit communication signals; and/or Internet of Things (IoT) devices. A terminal device arranged to communicate over a wireless interface may be referred to as a "wireless communication terminal", "wireless terminal", or "mobile terminal". Examples of mobile terminals include, but are not limited to, satellite or cellular telephones; personal Communications Systems (PCS) terminals that may combine cellular radiotelephones with data processing, facsimile, and data Communications capabilities; PDAs that may include radiotelephones, pagers, internet/intranet access, Web browsers, notepads, calendars, and/or Global Positioning System (GPS) receivers; and conventional laptop and/or palmtop receivers or other electronic devices that include a radiotelephone transceiver. Terminal Equipment may refer to an access terminal, User Equipment (UE), subscriber unit, subscriber station, mobile station, remote terminal, mobile device, User terminal, wireless communication device, User agent, or User Equipment. An access terminal may be a cellular telephone, a cordless telephone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA), a handheld device having Wireless communication capabilities, a computing device or other processing device connected to a Wireless modem, a vehicle mounted device, a wearable device, a terminal device in a 5G network, or a terminal device in a future evolved PLMN, etc.
The network device 110 may provide a service for a cell, and the terminal device 120 communicates with the network device 110 through a transmission resource (e.g., a frequency domain resource or a spectrum resource) used by the cell, where the cell may be a cell corresponding to the network device 110 (e.g., a base station), and the cell may belong to a macro base station or a base station corresponding to a Small cell (Small cell), where the Small cell may include, for example, a Metro cell (Metro cell), a Micro cell (Micro cell), a Pico cell (Pico cell), a Femto cell (Femto cell), and the like, and the Small cells have characteristics of Small coverage and low transmission power, and are suitable for providing a high-rate data transmission service.
Fig. 1 exemplarily shows one network device and two terminal devices, and optionally, the communication system 100 may include a plurality of network devices and may include other numbers of terminal devices within the coverage of each network device, which is not limited in this embodiment of the present application.
Optionally, the communication system 100 may further include other network entities such as a network controller, a mobility management entity, and the like, which is not limited in this embodiment.
It should be understood that a device having a communication function in a network/system in the embodiments of the present application may be referred to as a communication device. Taking the communication system 100 shown in fig. 1 as an example, the communication device may include a network device 110 and a terminal device 120 having a communication function, and the network device 110 and the terminal device 120 may be the specific devices described above and are not described herein again; the communication device may also include other devices in the communication system 100, such as other network entities, for example, a network controller, a mobility management entity, and the like, which is not limited in this embodiment.
The precoding technique can be understood in particular as: under the condition of known Channel State Information (CSI), a transmitting terminal processes a signal to be transmitted by using a precoding matrix matched with Channel resources, so that the processed signal to be transmitted is adapted to a Channel, and terminal equipment can perform better equalization and detection conveniently, thereby achieving the purpose of improving the MIMO system.
It should be understood that the above-mentioned related description regarding the precoding technique is merely an example for ease of understanding, and does not limit the scope of the embodiments of the present application. In the specific implementation process of the precoding technology, the network device may process the signal to be transmitted in other manners besides processing the signal to be transmitted by using the precoding matrix.
The precoding techniques can be classified into linear precoding and nonlinear precoding. Linear precoding is to linearly process the obtained CSI (such as a channel matrix). More common linear precoding techniques may include Zero-Forcing (Zero-Forcing) precoding, Minimum Mean-Squared Error (MMSE) precoding, and Block Diagonalization (BD) precoding. The advantages of linear precoding are: the method has the advantages of simple realization, low operation complexity and strong practicability, but is difficult to obtain ideal system gain.
Therefore, in order to further improve the performance of precoding, nonlinear precoding is proposed in succession. The earliest proposed of these was Dirty Paper Code (DPC). If the network device can acquire all the additive interference, ICI can be eliminated through the DPC, and the optimal performance gain is obtained. DPC is extremely complex to implement and in practical systems, network devices may not be fully aware of all channel information and thus may be difficult to implement in practice.
In order to reduce the complexity of DPC while achieving better performance, modulo algebraic Precoding (THP) and Vector Perturbation (VP) Precoding are proposed in succession. Compared with THP, VP precoding can superpose a motion vector on a transmission symbol, so that transmission power can be further limited, and the signal-to-noise ratio of a terminal device can be improved, so that better performance gain can be obtained.
The key idea of VP precoding is that an additive disturbance vector is selected by a transmitting end to shape a transmitted symbol, and then the optimal disturbance vector is obtained through search algorithms such as spherical coding and the like. The receiving end adopts the modulus operation to eliminate the disturbance vector and then can directly carry out judgment. VP precoding may achieve better performance than conventional ZF precoding techniques, compared to other precoding techniques that can only achieve partial diversity gain. Meanwhile, the receiving end can only carry out independent modular operation, and the processing of the transmitting end can eliminate all MSI, so the VP precoding can be directly suitable for the downlink of a single-user system and a multi-user system.
However, in the actual precoding process, due to the existence of the delay, the channel used for precoding at the current time is actually the channel estimated at a previous time, and a certain error may exist between the channel actually experienced by the transmitted symbol. In particular, since VP precoding is extremely sensitive to the accuracy of channel information, such a delay may cause a large degradation in VP precoding performance.
In view of this, an embodiment of the present application provides a precoding method, which calculates Mean Square Error (MSE) values of two channels, and compensates the calculated MSE values to channel information currently used for determining a precoding matrix, so as to greatly improve precoding performance.
Fig. 2 is a schematic flow chart of a method 200 of precoding according to an embodiment of the present application.
Optionally, when the method 200 is used for uplink transmission, the transmitting end is a terminal device, and the terminal device may be, for example, the terminal device 120 shown in fig. 1. Alternatively, when the method 200 is used for downlink transmission, the transmitting end is a network device, and the network device may be, for example, the network device 110 shown in fig. 1. Of course, the method 200 may also be used for D2D transmissions or V2V transmissions.
As shown in fig. 2, the method 200 may include at least some of the following.
In 210, the transmitting end obtains first channel information at a first time and second channel information at a second time, where the first time and the second time are times before a third time, and the first time is earlier than the second time.
The channel information may include, but is not limited to, any one of the following matrices: a channel matrix, a channel covariance matrix, or an interference covariance matrix.
For convenience of description, in the embodiments of the present application, a difference between the second time and the first time is referred to as a first delay interval, and a difference between the third time and the second time is referred to as a second delay interval. Optionally, the first delay interval and the second delay interval may be the same or different, and this is not specifically limited in this embodiment of the application. For example, the first delay interval is 2ms and the second delay interval is 2.5 ms.
In the process of acquiring the first channel information and the second channel information, the transmitting end may first determine a first time and a second time, and then acquire the first channel information and the second channel information based on the first time and the second time.
As a possible embodiment, the transmitting end may determine the first delay interval according to the system parameter, and then determine the first time and/or the second time according to the first delay interval.
It should be understood that the term "and/or" herein is merely one type of association relationship that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. For example, the transmitting end determines the first time and/or the second time according to the first delay interval, which may represent: the transmitting terminal firstly determines a first time, and then determines a second time according to the first time delay interval and the first time. Or the transmitting terminal firstly determines the second time and then determines the first time according to the first time delay interval and the second time.
Alternatively, the system parameter may be at least one parameter of the number of antennas at the transmitting end, precoding granularity, and moving speed of the terminal device. The precoding granularity may be at a symbol level or a Physical Resource Block (PRB) level, for example, the precoding granularity is 1 PRB.
It should be noted that, in the embodiment of the present application, an implementation manner of determining, by a transmitting end, a first delay interval according to a system parameter is not specifically limited. Table 1 shows the optimal values of the first time delay interval determined from the system parameters. It can be seen that the system parameters in table 1 are the number of antennas at the transmitting end, the precoding granularity, and the moving speed of the terminal device. The unit of the first delay interval is an Orthogonal Frequency Division Multiplexing (OFDM) symbol.
TABLE 1
System parameter configuration First time delay interval
The number of transmitting terminal antennas is 4, the precoding granularity is 1PRB, and the terminal moving speed is 3km/h 25
The number of transmitting terminal antennas is 8, the precoding granularity is 1PRB, and the terminal moving speed is 3km/h 20
The number of transmitting terminal antennas is 4, the precoding granularity is 4PRB, and the terminal moving speed is 3km/h 25
The number of transmitting terminal antennas is 8, the precoding granularity is 4PRB, and the terminal moving speed is 3km/h 15
The number of transmitting terminal antennas is 8, the precoding granularity is 1PRB, and the terminal moving speed is 30km/h 20
The number of transmitting terminal antennas is 8, the precoding granularity is 4PRB, and the terminal moving speed is 30km/h 20
It should be understood that the value of the first delay interval shown in table 1 is only the optimal value of the first delay interval determined by the transmitting end according to the number of antennas of the transmitting end, the precoding granularity, and the moving speed of the terminal device, and the first delay interval may also be other values, for example, when the number of antennas of the transmitting end is 8, the precoding granularity is 1PRB, and the moving speed of the terminal device is 3km/h, the first delay interval may be 25 OFDM symbols.
At 220, the transmitting end determines the MSE value of the channel according to the first channel information and the second information.
The implementation manner of step 220 may be various, and this is not particularly limited in this embodiment of the present application. As an example, the transmitting end may determine the MSE value of the channel according to equation (1):
Figure PCTCN2019096377-APPB-000001
wherein the content of the first and second substances,
Figure PCTCN2019096377-APPB-000002
as the information of the first channel, it is,
Figure PCTCN2019096377-APPB-000003
is the second channel information.
In 230, the transmitting end determines third channel information at a third time based on the MSE value and the second channel information, and the third channel information may be used to determine a precoding matrix.
When the channel information is a channel matrix, the third channel information may satisfy formula (2):
Figure PCTCN2019096377-APPB-000004
wherein the content of the first and second substances,
Figure PCTCN2019096377-APPB-000005
is the third channel information.
When the channel information is a channel covariance matrix or an interference covariance matrix, the third channel information may satisfy formula (3):
Figure PCTCN2019096377-APPB-000006
where diag represents the operation of constructing a diagonal matrix using the diagonal elements of the target matrix.
The following describes a technical solution for determining third channel information according to an embodiment of the present application with reference to a specific example. It should be understood that the specific examples in the embodiments of the present application are for the purpose of promoting a better understanding of the embodiments of the invention, and are not intended to limit the scope of the embodiments of the present application.
And the transmitting end is taken as a base station, the number of antennas of the base station is 8, the number of users is 2, each user is configured with 4 receiving antennas, the precoding granularity is 1PRB, and the second time delay interval, namely the difference value between the third time and the second time is 2.5 ms. Assuming that each slot (slot) is 1ms and each slot has 14 OFDM symbols, the second delay interval is 2.5ms, 35 OFDM symbols.
Example 1: the channel information being a channel matrix
Assuming that the base station has transmitted 70 OFDM symbols, for the 71 th OFDM symbol, let H be the channel actually experienced by the current time (i.e. the third time)71. Since the second delay interval is 35 OFDM symbols, the channel information obtained by the current base station is actually the channel H experienced by the 36 th OFDM symbol (i.e. the second time instant)36. Since precoding granularity is 1PRB, let H36The average channel in one Resource Block (RB) is
Figure PCTCN2019096377-APPB-000007
The first delay interval and the second delay interval are made to be the same, namely, the difference between the second time and the first time is 35 OFDM symbols, and for the 36 th OFDM, the channel information obtained by the base station is actually the average channel of the 1 st OFDM symbol (namely, the first time), and is recorded as the average channel
Figure PCTCN2019096377-APPB-000008
Base station utilization
Figure PCTCN2019096377-APPB-000009
And equation (1) to calculate the MSE value of the channel, we can get:
Figure PCTCN2019096377-APPB-000010
the base station may then compensate the calculated MSE value to using equation (2)
Figure PCTCN2019096377-APPB-000011
Obtaining a precoding matrix W at the current moment:
Figure PCTCN2019096377-APPB-000012
the above describes an embodiment in which the first delay interval and the second delay interval are the same, and in the embodiment of the present application, the first delay interval may be different from the second delay interval. Since the number of base station antennas is 8, the precoding granularity is 1PRB, and assuming that the mobile speed of the terminal device is 3km/h, the optimal first delay interval is 20 OFDM symbols according to table 1, and since the second delay interval is 35 OFDM symbols, it can be seen that the first delay interval and the second delay interval are different.
In this implementation, the third time is 71 th OFDM symbol, the second time is 36 th OFDM symbol, and the first time is 16 OFDM symbols from 36 th to 20 th.
For the 16 th OFDM symbol, the channel information obtained by the base station is actually the average channel of the 16 th OFDM symbol, and is recorded as
Figure PCTCN2019096377-APPB-000013
Base station utilization
Figure PCTCN2019096377-APPB-000014
And equation (1) to calculate the MSE value of the channel, we can get:
Figure PCTCN2019096377-APPB-000015
then, the base station may compensate the calculated MSE value to using equation (2)
Figure PCTCN2019096377-APPB-000016
In the above, the precoding matrix W at the current time is obtained, specifically referring to formula (5).
Example 2: channel information is an interference covariance matrix
Assuming that the base station has transmitted 70 OFDM symbols, for the 71 th OFDM symbol, the channel information obtained by the base station at the current time is the interference covariance matrix of other interfering users, i.e. the average value of the interference covariance matrix in an RB block of the 36 th OFDM symbol is recorded as
Figure PCTCN2019096377-APPB-000017
The first delay interval and the second delay interval are made to be the same, and for the 36 th OFDM symbol, the channel information obtained by the base station is the average value of the interference covariance matrix on the 1 st OFDM symbol, that is to say
Figure PCTCN2019096377-APPB-000018
Base station utilization
Figure PCTCN2019096377-APPB-000019
And equation (1) calculates the MSE value of the channel, i.e.:
Figure PCTCN2019096377-APPB-000020
then, the base station may compensate the calculated MSE value to the previous CSI estimation time using equation (3)
Figure PCTCN2019096377-APPB-000021
In the above, the interference covariance matrix at the current time is obtained
Figure PCTCN2019096377-APPB-000022
Figure PCTCN2019096377-APPB-000023
It should be understood that, in the embodiments of the present application, "first" and "second" are merely used to distinguish different objects, and do not limit the scope of the embodiments of the present application.
Example 3: the channel information is a channel covariance matrix
It should be understood that, reference may be made to the implementation of embodiment 2 for the implementation of the channel information being the channel covariance matrix, and details are not described here for brevity of content.
For the transmitting end, the method 200 may further include: the transmitting end determines a pre-coding matrix according to the determined third channel information, pre-codes the transmitting symbols according to the pre-coding matrix to obtain pre-coded transmitting symbols, and then the transmitting end can transmit the pre-coded transmitting symbols to the receiving end.
Specifically, the transmitting end may perform singular value decomposition on the channel matrix or the channel covariance matrix to obtain the precoding matrix, or the transmitting end may also obtain the precoding matrix by performing eigenvalue decomposition on the channel covariance matrix.
As an example, the transmitting end may determine the precoding matrix based on the ZF criterion. For example, the precoding matrix may satisfy:
Figure PCTCN2019096377-APPB-000024
wherein W isThe precoding matrix is a matrix of the received signal,
Figure PCTCN2019096377-APPB-000025
in order to be a matrix of channels,
Figure PCTCN2019096377-APPB-000026
is a pseudo-inverse operation.
Alternatively, the precoding matrix may satisfy:
Figure PCTCN2019096377-APPB-000027
next, the transmitting end may precode the transmission symbols according to the precoding matrix. For convenience of description, in the embodiment of the present application, the implementation manner of precoding the transmission symbol by the network device will be described by taking VP precoding as an example, but the present application is not limited thereto.
Specifically, the transmitting end may determine a disturbance vector based on the precoding matrix, then, the transmitting end adds disturbance to the transmission symbol based on the disturbance vector to obtain the transmission symbol to which the disturbance is added, and then, the transmitting end may precode the transmission symbol to which the disturbance is added according to the precoding matrix.
For example, the perturbation vector l may satisfy:
Figure PCTCN2019096377-APPB-000028
wherein, N is the total data stream number sent by the transmitting end, s is the data symbol sent by the transmitting end, and τ is the modulus.
Alternatively, the magnitude of τ may be related to the modulation scheme employed by the transmitting end on the data symbols. The modulation method may include Binary Phase Shift Keying (BPSK), Quadrature Phase Shift Keying (QPSK), 16 Quadrature Amplitude Modulation (QAM), 64QAM, 256QAM, 1024QAM, and the like.
Wherein, the tau value may be different according to different modulation modes. For example, when the transmitting end employs QPSK modulation, τ may be equal to 4. Specifically, the value of τ may be determined according to a certain empirical value. Alternatively, the value of τ may be protocol-specified. For example, the protocol specifies that τ is equal to 4 when the modulation scheme used for the data symbols is QPSK.
In the embodiment of the present application, there are many ways to solve the perturbation vector l, and the embodiment of the present application does not limit this. Illustratively, the method of solving the perturbation vector l may be a sphere decoding method.
Next, the transmitting end may add a disturbance to the transmission symbol based on the disturbance vector l and perform precoding. For example, the precoded transmission symbol x satisfies:
x=W(s+τl) (12)
optionally, in the method 200, the network device may further perform normalization processing on the transmission power of x. For example, the processed transmission symbols are:
Figure PCTCN2019096377-APPB-000029
wherein, beta | W (s + τ l) |2
Figure PCTCN2019096377-APPB-000030
Is a precoded and normalized transmitted symbol.
It should be noted that, in the embodiment of the present application, only the content of precoding the transmission symbol by the transmission end is described, but it is not indicated that the transmission end only performs precoding processing on the transmission end, and the transmission end may also perform processing such as modulation and layer mapping on the transmission symbol.
According to the embodiment of the application, under the condition that the transmitting end adopts the precoding technology, by calculating the MSE values of the two channels and compensating the MSE values to the channel information of the currently determined precoding matrix, a more accurate precoding matrix can be constructed, and the precoding performance can be greatly improved.
The preferred embodiments of the present application have been described in detail with reference to the accompanying drawings, however, the present application is not limited to the details of the above embodiments, and various simple modifications can be made to the technical solution of the present application within the technical idea of the present application, and these simple modifications are all within the protection scope of the present application.
For example, the various features described in the foregoing detailed description may be combined in any suitable manner without contradiction, and various combinations that may be possible are not described in this application in order to avoid unnecessary repetition.
For example, various embodiments of the present application may be arbitrarily combined with each other, and the same should be considered as the disclosure of the present application as long as the concept of the present application is not violated.
It should be understood that, in the various method embodiments of the present application, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
Having described the method of signal processing according to the embodiment of the present application in detail above, a communication apparatus according to the embodiment of the present application will be described below with reference to fig. 3 and 4, and the technical features described in the method embodiment are applicable to the following apparatus embodiments.
Fig. 3 shows a schematic block diagram of a communication device 300 of an embodiment of the application. As shown in fig. 3, the communication device 300 includes:
the processing unit 310 is configured to obtain first channel information at a first time and second channel information at a second time, where the first time and the second time are times before a third time, and the first time is earlier than the second time.
The processing unit 310 is further configured to determine an MSE value of a channel according to the first channel information and the second channel information.
The processing unit 310 is further configured to determine third channel information at the third time based on the MSE value and the second channel information, where the third channel information is used to determine a precoding matrix.
Optionally, in this embodiment of the present application, the processing unit 310 is further configured to: determining a difference value between the first time and the second time according to at least one parameter of the number of antennas of the transmitting terminal, precoding granularity and moving speed of terminal equipment;
and determining the first time and/or the second time according to the difference value between the first time and the second time.
Optionally, in an embodiment of the present application, the MSE value satisfies the formula:
Figure PCTCN2019096377-APPB-000031
wherein the content of the first and second substances,
Figure PCTCN2019096377-APPB-000032
in order to be able to obtain the first channel information,
Figure PCTCN2019096377-APPB-000033
is the second channel information.
Optionally, in this embodiment of the present application, the channel information includes any one of the following: channel matrix, channel covariance matrix, interference covariance matrix.
Optionally, in this embodiment of the present application, if the channel information is the channel matrix, the third channel information is:
Figure PCTCN2019096377-APPB-000034
wherein the content of the first and second substances,
Figure PCTCN2019096377-APPB-000035
in order to be able to use the third channel information,
Figure PCTCN2019096377-APPB-000036
is the second channel information.
Optionally, in this embodiment of the application, if the channel information is the channel covariance matrix or the interference covariance matrix, the third channel information is:
Figure PCTCN2019096377-APPB-000037
wherein the content of the first and second substances,
Figure PCTCN2019096377-APPB-000038
in order to be able to use the third channel information,
Figure PCTCN2019096377-APPB-000039
for the second channel information, diag represents an operation of constructing a diagonal matrix using diagonal elements of a target matrix.
Optionally, in this embodiment of the present application, the processing unit 310 is further configured to: determining a precoding matrix according to the third channel information; precoding a sending symbol according to the precoding matrix to obtain a precoded sending symbol;
the communication device 300 further comprises: a communication unit 320, configured to send the precoded transmission symbol to a receiving end.
Optionally, in this embodiment of the application, the processing unit 310 is specifically configured to: calculating a disturbance vector based on the precoding matrix; adding disturbance to the sending symbol based on the disturbance vector to obtain a sending symbol added with disturbance; and precoding the sending symbols after the disturbance is added according to the precoding matrix.
It should be understood that the communication device 300 may correspond to the transmitting end in the method 200, and corresponding operations of the transmitting end in the method 200 may be implemented, which are not described herein for brevity.
Fig. 4 is a schematic structural diagram of a communication device 400 according to an embodiment of the present application. The communication device 400 shown in fig. 4 comprises a processor 410, and the processor 410 can call and run a computer program from a memory to implement the method in the embodiment of the present application.
Optionally, as shown in fig. 4, the communication device 400 may also include a memory 420. From the memory 420, the processor 410 can call and run a computer program to implement the method in the embodiment of the present application.
The memory 420 may be a separate device from the processor 410, or may be integrated into the processor 410.
Optionally, as shown in fig. 4, the communication device 400 may further include a transceiver 430, and the processor 410 may control the transceiver 430 to communicate with other devices, and specifically, may transmit information or data to the other devices or receive information or data transmitted by the other devices.
The transceiver 430 may include a transmitter and a receiver, among others. The transceiver 430 may further include antennas, and the number of antennas may be one or more.
Optionally, the communication device 400 may specifically be a transmitting end in the embodiment of the present application, and the communication device 400 may implement a corresponding procedure implemented by the transmitting end in each method in the embodiment of the present application, which is not described herein again for brevity.
Fig. 5 is a schematic structural view of an apparatus of an embodiment of the present application. The apparatus 500 shown in fig. 5 includes a processor 510, and the processor 510 can call and run a computer program from a memory to implement the method in the embodiment of the present application.
Optionally, as shown in fig. 5, the apparatus 500 may further include a memory 520. From the memory 520, the processor 510 can call and run a computer program to implement the method in the embodiment of the present application.
The memory 520 may be a separate device from the processor 510, or may be integrated into the processor 510.
Optionally, the apparatus 500 may further comprise an input interface 530. The processor 510 may control the input interface 530 to communicate with other devices or chips, and in particular, may obtain information or data transmitted by other devices or chips.
Optionally, the apparatus 500 may further comprise an output interface 540. The processor 510 may control the output interface 540 to communicate with other devices or chips, and may particularly output information or data to the other devices or chips.
Optionally, the apparatus may be applied to the transmitting end in the embodiment of the present application, and the apparatus may implement the corresponding process implemented by the transmitting end in each method in the embodiment of the present application, and for brevity, details are not described here again.
Alternatively, the device 500 may be a chip. It should be understood that the chips mentioned in the embodiments of the present application may also be referred to as a system-on-chip, a system-on-chip or a system-on-chip, etc.
It should be understood that the processor of the embodiments of the present application may be an integrated circuit chip having signal processing capabilities. 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 may be a general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, or 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 PROM (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 (Static RAM, SRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic random access memory (Synchronous DRAM, SDRAM), Double Data Rate Synchronous Dynamic random access memory (DDR SDRAM), Enhanced Synchronous SDRAM (ESDRAM), Synchronous link SDRAM (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.
It should be understood that the above memories are exemplary but not limiting illustrations, for example, the memories in the embodiments of the present application may also be Static Random Access Memory (SRAM), dynamic random access memory (dynamic RAM, DRAM), Synchronous Dynamic Random Access Memory (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (enhanced SDRAM, ESDRAM), Synchronous Link DRAM (SLDRAM), Direct Rambus RAM (DR RAM), and the like. That is, the memory in the embodiments of the present application is intended to comprise, without being limited to, these and any other suitable types of memory.
The embodiment of the application also provides a computer readable storage medium for storing the computer program.
Optionally, the computer-readable storage medium may be applied to the transmitting end in the embodiment of the present application, and the computer program enables the computer to execute the corresponding process implemented by the transmitting end in each method in the embodiment of the present application, which is not described herein again for brevity.
Embodiments of the present application also provide a computer program product comprising computer program instructions.
Optionally, the computer program product may be applied to the transmitting end in the embodiment of the present application, and the computer program instructions enable the computer to execute corresponding processes implemented by the transmitting end in the methods in the embodiment of the present application, which are not described herein again for brevity.
The embodiment of the application also provides a computer program.
Optionally, the computer program may be applied to the transmitting end in the embodiment of the present application, and when the computer program runs on a computer, the computer is enabled to execute corresponding processes implemented by the transmitting end in the methods in the embodiment of the present application, and for brevity, details are not described here again.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps 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.
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 (21)

  1. A method of precoding, the method comprising:
    a transmitting terminal acquires first channel information at a first moment and second channel information at a second moment, wherein the first moment and the second moment are moments before a third moment, and the first moment is earlier than the second moment;
    the transmitting terminal determines a Mean Square Error (MSE) value of a channel according to the first channel information and the second channel information;
    and the transmitting terminal determines third channel information at the third moment based on the MSE value and the second channel information, wherein the third channel information is used for determining a precoding matrix.
  2. The method of claim 1, further comprising:
    the transmitting terminal determines a difference value between the first time and the second time according to at least one parameter of the number of antennas of the transmitting terminal, precoding granularity and moving speed of terminal equipment;
    and the transmitting end determines the first time and/or the second time according to the difference between the first time and the second time.
  3. The method of claim 1 or 2, wherein the MSE value satisfies the equation:
    Figure PCTCN2019096377-APPB-100001
    wherein the content of the first and second substances,
    Figure PCTCN2019096377-APPB-100002
    in order to be able to obtain the first channel information,
    Figure PCTCN2019096377-APPB-100003
    is the second channel information.
  4. The method according to any of claims 1 to 3, wherein the channel information comprises any of: channel matrix, channel covariance matrix, interference covariance matrix.
  5. The method of claim 4, wherein if the channel information is the channel matrix, the third channel information is:
    Figure PCTCN2019096377-APPB-100004
    wherein the content of the first and second substances,
    Figure PCTCN2019096377-APPB-100005
    in order to be able to use the third channel information,
    Figure PCTCN2019096377-APPB-100006
    is that it isAnd second channel information.
  6. The method of claim 4, wherein if the channel information is the channel covariance matrix or the interference covariance matrix, the third channel information is:
    Figure PCTCN2019096377-APPB-100007
    wherein the content of the first and second substances,
    Figure PCTCN2019096377-APPB-100008
    in order to be able to use the third channel information,
    Figure PCTCN2019096377-APPB-100009
    for the second channel information, diag represents an operation of constructing a diagonal matrix using diagonal elements of a target matrix.
  7. The method according to any one of claims 1 to 6, further comprising:
    the transmitting terminal determines a precoding matrix according to the third channel information;
    the transmitting terminal carries out precoding on the transmitting symbols according to the precoding matrix to obtain the precoded transmitting symbols;
    and the transmitting end transmits the precoded transmission symbol to a receiving end.
  8. The method of claim 7, wherein the transmitting end precodes the transmitted symbols according to the precoding matrix, comprising:
    the transmitting terminal calculates a disturbance vector based on the precoding matrix;
    the transmitting terminal adds disturbance to the transmitting symbol based on the disturbance vector to obtain the transmitting symbol after disturbance is added;
    and the transmitting terminal carries out precoding on the sending symbols after the disturbance is added according to the precoding matrix.
  9. A communication device, the communication device being a transmitting end, comprising:
    the processing unit is used for acquiring first channel information at a first moment and second channel information at a second moment, wherein the first moment and the second moment are moments before a third moment, and the first moment is earlier than the second moment;
    the processing unit is further configured to determine a mean square error MSE value of a channel according to the first channel information and the second channel information;
    the processing unit is further configured to determine third channel information at the third time based on the MSE value and the second channel information, where the third channel information is used to determine a precoding matrix.
  10. The communications device of claim 9, wherein the processing unit is further configured to:
    determining a difference value between the first time and the second time according to at least one parameter of the number of antennas of the transmitting terminal, precoding granularity and moving speed of terminal equipment;
    and determining the first time and/or the second time according to the difference value between the first time and the second time.
  11. The communication device according to claim 9 or 10, wherein the MSE value satisfies the formula:
    Figure PCTCN2019096377-APPB-100010
    wherein the content of the first and second substances,
    Figure PCTCN2019096377-APPB-100011
    in order to be able to obtain the first channel information,
    Figure PCTCN2019096377-APPB-100012
    is the second channel information.
  12. The communication device according to any of claims 9 to 11, wherein the channel information comprises any of: channel matrix, channel covariance matrix, interference covariance matrix.
  13. The communications device of claim 12, wherein if the channel information is the channel matrix, the third channel information is:
    Figure PCTCN2019096377-APPB-100013
    wherein the content of the first and second substances,
    Figure PCTCN2019096377-APPB-100014
    in order to be able to use the third channel information,
    Figure PCTCN2019096377-APPB-100015
    is the second channel information.
  14. The communications device of claim 12, wherein if the channel information is the channel covariance matrix or the interference covariance matrix, the third channel information is:
    Figure PCTCN2019096377-APPB-100016
    wherein the content of the first and second substances,
    Figure PCTCN2019096377-APPB-100017
    in order to be able to use the third channel information,
    Figure PCTCN2019096377-APPB-100018
    for the second channel information, diag represents an operation of constructing a diagonal matrix using diagonal elements of a target matrix.
  15. The communication device of any of claims 9-14, wherein the processing unit is further configured to:
    determining a precoding matrix according to the third channel information;
    precoding a sending symbol according to the precoding matrix to obtain a precoded sending symbol;
    the communication device further includes:
    a communication unit, configured to send the precoded transmission symbol to a receiving end.
  16. The communications device of claim 15, wherein the processing unit is specifically configured to:
    calculating a disturbance vector based on the precoding matrix;
    adding disturbance to the sending symbol based on the disturbance vector to obtain a sending symbol added with disturbance;
    and precoding the sending symbols after the disturbance is added according to the precoding matrix.
  17. A communication device, comprising: a processor and a memory for storing a computer program, the processor for invoking and executing the computer program stored in the memory, performing the method of any one of claims 1 to 8.
  18. An apparatus, comprising: a processor for calling and running a computer program from a memory so that a device on which the chip is installed performs the method of any one of claims 1 to 8.
  19. A computer-readable storage medium for storing a computer program which causes a computer to perform the method of any one of claims 1 to 8.
  20. A computer program product comprising computer program instructions for causing a computer to perform the method of any one of claims 1 to 8.
  21. A computer program, characterized in that the computer program causes a computer to perform the method according to any of claims 1 to 8.
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