CN114900217A - Precoding method and related device - Google Patents

Precoding method and related device Download PDF

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CN114900217A
CN114900217A CN202210659569.3A CN202210659569A CN114900217A CN 114900217 A CN114900217 A CN 114900217A CN 202210659569 A CN202210659569 A CN 202210659569A CN 114900217 A CN114900217 A CN 114900217A
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channel
correlation matrix
precoding
matrix
determining
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CN114900217B (en
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黄润
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0621—Feedback content
    • H04B7/0626—Channel coefficients, e.g. channel state information [CSI]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0621—Feedback content
    • H04B7/0632—Channel quality parameters, e.g. channel quality indicator [CQI]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0636—Feedback format
    • H04B7/0639—Using selective indices, e.g. of a codebook, e.g. pre-distortion matrix index [PMI] or for beam selection
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Abstract

The embodiment of the application discloses a precoding method and a related device, wherein the method comprises the following steps: determining a signal-to-noise ratio corresponding to each of N channel transmission layers of a first precoding matrix, wherein N is a positive integer greater than 1; reconstructing a first channel according to the first pre-coding matrix and the signal-to-noise ratio corresponding to each channel transmission layer to obtain a first channel correlation matrix, wherein the first channel correlation matrix is used for representing a second channel obtained after the first channel is reconstructed; carrying out smooth filtering processing on the first channel correlation matrix to obtain a second channel correlation matrix after the smooth filtering processing; and determining a second precoding matrix according to the second channel correlation matrix. By adopting the embodiment of the application, the precoding precision is favorably improved, and the performance gain brought by the MIMO technology is favorably improved.

Description

Precoding method and related device
Technical Field
The present application relates to the field of communications technologies, and in particular, to a precoding method and a related apparatus.
Background
With the development of wireless Communication Technology, massive Multiple-Input and Multiple-Output (MIMO) Technology is widely used in the fifth Generation Mobile Communication system (5G), and a base station performs precoding on a signal by acquiring Channel State Information (CSI) and using the CSI Information to perform performance gain of the MIMO Technology.
However, in the current scenario of poor reciprocity or Frequency Division Duplex (FDD), CSI information obtained by the base station is not accurate, which greatly limits the performance gain caused by MIMO technology.
Disclosure of Invention
The embodiment of the application provides a precoding method and a related device, which are beneficial to improving precoding precision and improving performance gain brought by an MIMO technology.
In a first aspect, an embodiment of the present application provides a precoding method, which is applied to a base station, and the method includes:
determining a signal-to-noise ratio corresponding to the first precoding matrix and each of N channel transmission layers, wherein N is a positive integer greater than 1;
reconstructing a first channel according to the first precoding matrix and the signal-to-noise ratio corresponding to each channel transmission layer to obtain a first channel correlation matrix, wherein the first channel correlation matrix is used for representing a second channel obtained after the first channel is reconstructed;
performing smooth filtering processing on the first channel correlation matrix to obtain a second channel correlation matrix after the smooth filtering processing;
and determining a second precoding matrix according to the second channel correlation matrix.
In a second aspect, an embodiment of the present application provides a precoding method, which is applied to a terminal device, and the method includes:
acquiring CQI information corresponding to N channel transmission layers, wherein N is a positive integer greater than 1;
and determining the signal-to-noise ratio of each channel transmission layer according to the CQI information, wherein the signal-to-noise ratio is used for determining a relative weighting coefficient corresponding to each channel transmission layer.
In a third aspect, an embodiment of the present application provides a precoding apparatus, which is applied to a base station, and the apparatus includes: a determination unit, a reconstruction unit and a filtering unit, wherein,
the determining unit is configured to determine the first precoding matrix and a signal-to-noise ratio corresponding to each of the N channel transmission layers;
the reconstructing unit is configured to reconstruct a first channel according to the first precoding matrix and the signal-to-noise ratio corresponding to each channel transmission layer to obtain a first channel correlation matrix, where the first channel correlation matrix is used to characterize a second channel obtained after the first channel is reconstructed;
the filtering unit is configured to perform smoothing filtering processing on the first channel correlation matrix to obtain a second channel correlation matrix after the smoothing filtering processing;
the determining unit is further configured to determine a second precoding matrix according to the second channel correlation matrix.
In a fourth aspect, an embodiment of the present application provides a precoding apparatus, which is applied to a terminal device, and the apparatus includes: an acquisition unit and a determination unit, wherein,
the acquiring unit is configured to acquire CQI information corresponding to N channel transmission layers, where N is a positive integer greater than 1;
the determining unit is configured to determine, according to the CQI information, a signal-to-noise ratio of each channel transmission layer, where the signal-to-noise ratio is used to determine a relative weighting coefficient corresponding to each channel transmission layer.
In a fifth aspect, an embodiment of the present application provides an electronic device, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing the steps of any of the methods in the first aspect or the second aspect of the embodiment of the present application.
In a sixth aspect, the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program makes a computer perform part or all of the steps described in any one of the methods of the first aspect or the second aspect of the present application.
In a seventh aspect, this application provides a computer program product, where the computer program product includes a non-transitory computer-readable storage medium storing a computer program, where the computer program is operable to cause a computer to perform some or all of the steps as described in any of the methods of the first aspect or the second aspect of this application. The computer program product may be a software installation package.
It can be seen that, in the embodiment of the present application, the terminal device may determine the signal-to-noise ratio of each channel transmission layer, so as to facilitate the base station to reconstruct the first channel according to the signal-to-noise ratio corresponding to each channel transmission layer and the first precoding matrix, so as to obtain a reconstructed first channel correlation matrix, and facilitate improvement of channel reconstruction accuracy; finally, smoothing filtering processing can be carried out according to the reconstructed second channel, namely smoothing filtering processing is carried out on the first channel correlation matrix to obtain a second channel correlation matrix, and a second precoding matrix is determined according to the second channel correlation matrix, so that precoding gain is favorably improved, precoding precision is favorably improved, the advantages of the MIMO technology are favorably brought into full play, and larger precoding gain is brought.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a communication system according to an embodiment of the present application;
fig. 2 is a flowchart of a precoding method provided in an embodiment of the present application;
fig. 3 is a flowchart of a precoding method provided in an embodiment of the present application;
fig. 4 is an interaction diagram of a precoding method provided in an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device provided in an embodiment of the present application;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
fig. 7 is a block diagram illustrating functional units of a precoding apparatus according to an embodiment of the present disclosure;
fig. 8 is a block diagram illustrating functional units of a precoding apparatus according to an embodiment of the present disclosure.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the 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 terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
1) The electronic device may be a portable electronic device such as a cell phone, a tablet computer, a wearable electronic device with wireless communication capabilities (e.g., a smart watch, smart glasses), a vehicle mounted device, etc., that also contains other functionality such as personal digital assistant or music player functionality. Exemplary embodiments of the portable electronic device include, but are not limited to, portable electronic devices that carry an IOS system, an Android system, a Microsoft system, or other operating system. The portable electronic device may also be other portable electronic devices such as a Laptop computer (Laptop) or the like. It should also be understood that in other embodiments, the electronic device may not be a portable electronic device, but may be a desktop computer. In this embodiment of the present application, the electronic device may be a base station or a terminal device, and the terminal device may be a User Equipment (UE).
2) The Multiple-Input and Multiple-Output (MIMO) technology is that Multiple transmit-receive antennas are configured at a base station and a terminal device, which can improve the capacity and the spectrum utilization rate of a communication system in multiples without increasing the bandwidth and the transmission power, and can also resist wireless channel fading and improve the error code performance of the system.
With the development of wireless communication technology, massive MIMO technology is introduced in the fifth generation mobile communication system, and a base station configures tens of antennas, hundreds of antennas or more, thereby further improving the performance of the system in various aspects.
The key point of the MIMO technology is how the base station acquires accurate CSI, and the CSI can be used for precoding a transmitted signal so as to achieve the effect of signal space domain shaping. In a Time Division Duplex (TDD) mode of 5G, a base station may obtain a more accurate channel in downlink communication by transmitting a specific reference signal through a UE using channel reciprocity, and then solve for an optimal precoding matrix.
However, in a scenario with poor reciprocity or Frequency Division Duplex (FDD), CSI information can only be obtained by quantization and uplink feedback of a terminal device, and includes Precoding Matrix Indicator (PMI) information, Channel Quality Indicator (CQI) information, Channel Rank Indicator (RI), and the like. Due to the fact that quantization brings certain precision loss, the CSI information obtained by the base station is inaccurate, and finally precoding gain is low.
Therefore, in view of the above problems, the present application provides a precoding method and related apparatus, which are described in detail below.
As shown in fig. 1, a schematic structural diagram of a communication system used in the present application may include: a base station 100a and a terminal device 100 b.
Both the base station 100a and the terminal device 100b can be electronic devices in the embodiments of the present application. For example, the terminal device 100b may be a mobile phone, a tablet computer, or the like.
The method and the device are suitable for 5G downlink scenes.
The terminal device 100b may quantize (Channel State Information, CSI) Information of a Channel estimated according to a reference signal, where the CSI Information obtained by quantization may include at least one of the following: channel Quality Indicator (CQI) information, Channel Rank Indicator (RI), Precoding Matrix Indicator (PMI), signal-to-noise ratio (snr) corresponding to each Channel transmission layer, and the like, and feeds back downlink Channel state information to the base station 100a through a dedicated feedback Channel.
The base station 100a can determine a channel in downlink communication and transmit a layer representation through a plurality of components, i.e., N channels. In the embodiment of the present application, a MIMO channel corresponds to N parallel channel transmission layers.
Wherein, each channel transmission layer may correspond to CQI information.
The precoding matrix used by the base station 100a in precoding may be determined according to the reconstructed channel matrix of the terminal device 100 b.
In one possible example, the terminal device 100b obtains CQI information corresponding to N channel transmission layers, where N is a positive integer greater than 1; determining a signal-to-noise ratio of each channel transmission layer according to the CQI information, wherein the signal-to-noise ratio is used for determining a relative weighting coefficient corresponding to each channel transmission layer; the terminal equipment bears the signal-to-noise ratio of each channel transmission layer through the CQI information; the terminal device 100b reports the channel state information and the codebook to the base station 100 a; the base station 100a determines a relative weighting coefficient of each channel transmission layer pair according to the signal-to-noise ratio of each channel transmission layer; a base station 100a acquires channel state information and a codebook reported by a terminal device 100 b; the base station 100a determines the first precoding matrix according to the channel state information and the codebook; the base station 100a reconstructs a first channel according to the first precoding matrix and the relative weighting coefficient of each channel transmission layer to obtain a first channel correlation matrix, wherein the channel correlation matrix is used for representing a second channel obtained after the first channel is reconstructed; the base station 100a performs smoothing filtering processing on the first channel correlation matrix to obtain a second channel correlation matrix after the smoothing filtering processing; the base station 100a determines a second precoding matrix according to the second channel correlation matrix. Thus, the terminal device 100b may determine the signal-to-noise ratio of each channel transmission layer, which is beneficial to help the base station 100a determine the relative weighting coefficient for characterizing the channel quality according to the signal-to-noise ratio corresponding to each channel transmission layer, and further, the base station 100a may reconstruct the first channel based on the relative weighting coefficient and the first pre-coding matrix to obtain a reconstructed channel correlation matrix, which is beneficial to improve the channel reconstruction accuracy; finally, the second precoding matrix can be determined according to the reconstructed channel, namely the channel correlation matrix, so that the precoding gain can be improved, the precoding precision can be improved, the advantages of the MIMO technology can be fully exerted, and the larger precoding gain is brought.
It should be noted that, in the present application, a plurality may refer to two or more, and details are not described later.
Referring to fig. 2, fig. 2 is a flowchart illustrating a precoding method according to an embodiment of the present application, applied to a base station, where the precoding method includes the following operations.
S201, the base station determines a first precoding matrix and a signal-to-noise ratio corresponding to each channel transmission layer in N channel transmission layers, wherein N is a positive integer greater than 1.
Wherein, the channel gains transmitted by each layer in the channel transmission layers are different, that is, the channel qualities are different. The relative weighting coefficients may be used to indicate the channel quality at the time of transmission for each layer in the channel. The channel may be divided into N channel transport layers.
In a specific implementation, the base station may process CSI information fed back by the terminal device to obtain a signal-to-noise ratio corresponding to each channel transmission layer.
The base station may determine the first precoding matrix through a codebook and CQI information reported by the terminal device, where the first precoding matrix may refer to an unprocessed precoding matrix or an original precoding matrix.
S202, the base station reconstructs the first channel according to the first pre-coding matrix and the signal-to-noise ratio corresponding to each channel transmission layer to obtain a first channel correlation matrix, wherein the first channel correlation matrix is used for representing a second channel obtained after the first channel is reconstructed.
And the second channel obtained after the first channel determined by the base station for the downlink is reconstructed can be represented by the first channel correlation matrix.
It can be seen that, in this example, the above-mentioned relative weighting coefficient is determined according to the signal-to-noise ratio corresponding to each channel transmission layer, and the base station is not directly determined according to the PMI information and the CQI information fed back by the terminal device, but takes into account the signal-to-noise ratio of each channel transmission layer. Therefore, not only rough recovery of the channel is achieved, but also performance gain brought by the MIMO technology is improved under the scene that the difference of signal-to-noise ratios of each layer or each channel transmission layer is large, and channel reconstruction accuracy is improved.
S203, the base station carries out smooth filtering processing on the first channel correlation matrix to obtain a second channel correlation matrix after the smooth filtering processing.
The smoothing filtering method may be set by a user or default, and is not limited herein. For example, the filtering of the reconstructed channel to modify parameters in the channel correlation matrix may be implemented by an Infinite Impulse Response (IIR) digital filter.
S204, the base station determines a second precoding matrix according to the second channel correlation matrix.
Wherein the second precoding matrix is different from the first precoding matrix.
In a specific implementation, the second channel correlation matrix may be processed through Singular Value Decomposition (SVD) Block Diagonalization (BD) to obtain a second precoding matrix, so that inter-user interference in a downlink MIMO system may be eliminated, which is beneficial to fully exerting the advantages of the MIMO technology and bringing a large precoding gain.
It should be noted that the second precoding matrix determination algorithm may also be implemented by other linear and/or nonlinear precoding techniques, and is not limited herein.
As can be seen, in this example, by using the precoding method, the problem that when FDD or the reciprocity is poor, the accuracy loss of terminal equipment for quantizing CSI information is solved, so that the CSI information acquired by the base station is inaccurate, which results in a low precoding gain is solved, thereby facilitating the improvement of the precoding gain.
As can be seen, in the precoding method described in the embodiment of the present application, the base station may determine a signal-to-noise ratio corresponding to each of N channel transmission layers of the first precoding matrix, where N is a positive integer greater than 1; reconstructing a first channel according to the first precoding matrix and a signal-to-noise ratio corresponding to each channel transmission layer to obtain a first channel correlation matrix, wherein the first channel correlation matrix is used for representing a second channel obtained after the first channel is reconstructed; performing smooth filtering processing on the first channel correlation matrix to obtain a second channel correlation matrix after the smooth filtering processing; and determining a second precoding matrix according to the second channel correlation matrix. Therefore, the channel quality of each channel transmission layer can be represented by the relative weighting coefficients corresponding to the N channel transmission layers, and the characteristics of the original channel can be ensured to the maximum extent; on the basis of the channel reconstruction method, the first channel is reconstructed according to the first pre-coding matrix to obtain a reconstructed channel, and the channel reconstruction accuracy is improved; finally, the second precoding matrix can be determined according to the reconstructed channel, namely the channel correlation matrix, so that the precoding gain can be improved, the precoding precision can be improved, the advantages of the MIMO technology can be fully exerted, and the larger precoding gain is brought.
In one possible example, after determining the first precoding matrix and the signal-to-noise ratio corresponding to each of the N channel transmission layers, the method may further include the following steps: and determining the relative weighting coefficient of each channel transmission layer pair according to the signal-to-noise ratio of each channel transmission layer.
Wherein, the relative weighting coefficient of each channel transmission layer can be determined according to the signal-to-noise ratio of each channel transmission layer, and can be represented as: sigma i And i is 1,2, …, N, wherein N is a positive integer greater than 1.
In one possible example, the reconstructing the first channel according to the first precoding matrix and the signal-to-noise ratio corresponding to each channel transmission layer may include: and reconstructing the first channel according to the first precoding matrix and the relative weighting coefficient of each channel transmission layer.
In a possible example, the reconstructing the first channel according to the first precoding matrix and the relative weighting coefficient of each channel transmission layer to obtain a first channel correlation matrix may include: determining the components of each channel transmission layer according to the first precoding matrix and the relative weighting coefficient of each channel transmission layer to obtain N components; and carrying out weighted summation on the N components to obtain the first channel correlation matrix.
Wherein, the compound can be represented by the formula (I) W ═ W 1 ,w 2 ,...,w N ]To represent the first precoding matrix.
In a specific implementation, the principle of eigenvalue decomposition, i.e. R ═ H, can be followed H H＝QΣQ H Obtaining the component of each channel transmission layer
Figure BDA0003689090080000051
The N independent components obtained by decomposition are carried outAnd weighting and summing to obtain a first channel correlation matrix, wherein the channel correlation matrix can be represented as:
Figure BDA0003689090080000052
wherein Λ ═ diag (σ) 1 σ 2 … σ N )。
As can be seen, in this example, the eigenvalue decomposition of the channel correlation matrix may be used to decompose the entire channel into a weighted sum of multiple independent components, which is beneficial to ensuring the characteristics of the original channel to the maximum extent and improving the subsequent precoding accuracy.
In a possible example, the smoothing filtering process is performed on the first channel correlation matrix to obtain a second channel correlation matrix after the smoothing filtering process, and the method may include the following steps: acquiring a plurality of transmission time intervals; and performing smoothing filtering processing on the first channel correlation matrix according to the transmission time intervals to obtain a smoothed second channel correlation matrix.
The Transmission Time Interval (TTI) may refer to a length of an independently decoded transmission in a radio link. The TTI is related to the size of the data block from the higher network layer to the radio link layer.
It can be seen that, in this example, the first channel correlation matrix may be subjected to a smooth filtering process according to the transmission time interval, which is beneficial to make the reconstructed second channel have a certain continuity and correlation in the time domain.
In one possible example, the plurality of transmission time intervals includes a first transmission time interval and a second transmission time interval, wherein the first transmission time interval is earlier than the second transmission time interval.
The first transmission time interval and the second transmission time interval may be any two consecutive transmission time intervals of a plurality of transmission time intervals, and the first transmission time interval is earlier than the second transmission time interval.
In a possible example, the smoothing filtering processing is performed on the first channel correlation matrix according to the transmission time intervals to obtain the smoothed second channel correlation matrix, where the method may include the following steps: determining a first instantaneous channel correlation matrix reconstructed from the first transmission time interval and a second instantaneous channel correlation matrix reconstructed from the second transmission time interval; determining a filtering factor; and obtaining the second channel correlation matrix after the smoothing treatment according to the filtering factor, the first instantaneous channel correlation matrix and the second instantaneous channel correlation matrix.
The first instantaneous channel correlation matrix corresponding to the first transmission time interval and the second instantaneous channel correlation matrix corresponding to the second transmission time interval can be obtained through reconstruction by the same method as the method for determining the first channel correlation matrix.
The filtering factor may be set by the user or default, and is not limited herein. The filter factor can be set: α ∈ (0, 1).
In a specific implementation, two transmission time intervals, namely a first transmission time interval TTI1 and a second transmission time interval TTI2, can be combined to obtain a first instantaneous channel correlation matrix R through channel reconstruction T1 And a second instantaneous channel correlation matrix R T2 (ii) a And according to the filter factor alpha, the first instantaneous channel correlation matrix R T1 And a second instantaneous channel correlation matrix R T2 And performing filtering processing, thus obtaining a second channel correlation matrix after smoothing processing:
Figure BDA0003689090080000061
in this example, it can be seen that, in combination with a TTI (first transmission time interval), a first instantaneous channel correlation matrix and a second instantaneous channel correlation matrix after reconstruction, which respectively correspond to a current TTI (second transmission time interval), are determined in a smoothing filtering manner, and a second channel correlation matrix is obtained through smoothing filtering processing. The method is beneficial to correcting the relevant parameters in the first channel correlation matrix, so that the second channel correlation matrix has certain continuity and correlation in the time domain.
In one possible example, the determining the first precoding matrix may include: acquiring channel state information (CSI information) and a codebook reported by terminal equipment; and determining the first precoding matrix according to the channel state information and the codebook.
The base station may pre-store a codebook corresponding to the terminal device, and the CSI information may include at least one of the following: the snr, CQI information, RI information, PMI information, etc. corresponding to each channel transmission layer are not limited herein.
In specific implementation, the base station may obtain CSI information, PMI information, and a codebook reported by the terminal device, and determine parameters such as an initial channel direction and channel quality of the terminal device according to the CSI information, the PMI information, and the codebook, and may determine a first precoding matrix corresponding to the terminal device according to the parameters:
W＝[w 1 w 2 … w N ]。
it can be seen that, in this example, an initial first precoding matrix of the terminal device may be determined according to information reported by the terminal device, which is beneficial to subsequently determine the relative weighting coefficients and the first precoding matrix of the N channel transmission layers according to the first precoding matrix, so as to help the base station to subsequently reconstruct the first channel.
Referring to fig. 3, fig. 3 is a flowchart illustrating a precoding method according to an embodiment of the present application, which is applied to a terminal device.
S301, the terminal device obtains CQI information corresponding to N channel transmission layers, wherein N is a positive integer greater than 1.
The terminal device may quantize CSI information of a channel estimated by the reference signal to obtain CQI information, RI information, PMI information, and the like, which is not limited herein.
Wherein, for the MIMO channel, there are N parallel channel transmission layers. The terminal device may perform comprehensive evaluation on the CQI values of the N channel transmission layers to obtain CQI information, where the CQI value is a comprehensive value and may be obtained through comprehensive calculation in a reporting process, for example, if there are 2 channel transmission layers, when an RI constraint set is triggered to report non-periodically, a second report may be made, a mean value between the current report value and the first report value is calculated to obtain a comprehensive CQI value, and the CQI value may be a CQI value corresponding to the 2 channel transmission layers.
Wherein N is a positive integer greater than 1.
S302, the terminal equipment determines the signal-to-noise ratio of each channel transmission layer according to the CQI information, wherein the signal-to-noise ratio is used for determining the relative weighting coefficient corresponding to each channel transmission layer.
The terminal device puts the signal-to-noise ratio of each channel transmission layer into the CSI information, and after reporting the CSI information to the base station, the base station can determine the relative weighting coefficient corresponding to each channel transmission layer through the signal-to-noise ratio.
It can be seen that, in the precoding method described in the embodiment of the present application, the terminal device may obtain CQI information corresponding to N channel transmission layers, where N is a positive integer greater than 1; and determining the signal-to-noise ratio of each channel transmission layer according to the CQI information, wherein the signal-to-noise ratio is used for determining a relative weighting coefficient corresponding to each channel transmission layer. In this way, the terminal device may determine the snr corresponding to each channel transmission layer according to the CQI information, thereby facilitating the base station to determine the relative weighting coefficient for characterizing the channel quality according to the snr corresponding to each channel transmission layer.
In one possible example, before obtaining CQI information corresponding to N channel transmission layers, the method may further include the following steps: acquiring a channel rank indication; and determining that CQI information corresponding to the N channel transmission layers needs to be reported according to the channel rank indication.
Among them, the CQI information corresponding to the obtained N channel transport layers is influenced by different downlink physical channel resource allocation schemes (for example, type 0, type 1, and type 2).
After channel Rank Indication (RI) information is obtained by quantizing CSI information, the comprehensive CQI values corresponding to the number of channels or the number of layers of channels to be reported can be determined through the RI (RI) information. For example, when RI is 3, the integrated CQI value of the first, second, and third layers is reported; and when the RI is 5, reporting the comprehensive CQI value of the channel corresponding to the transmission layer of the first 5 channels.
In this embodiment of the present application, when the rank of LTE is 3 or 4, or a New Radio (NR) interface, the terminal device only feeds back the integrated CQI information of an integrated channel correlation matrix (used for characterizing a channel) corresponding to one RI value, and may trigger aperiodic reporting of an RI constraint set, so as to obtain CQI information of channels corresponding to different channel transmission layers (e.g., 2 layers, 3 layers, 5 layers, and the like).
In specific implementation, for NR type2/etype2, the snr of each layer is sequentially arranged, and the first layer (single layer) CQI is reported when the restriction set RI is 1, the integrated CQI of the first layer and the second layer is reported when RI is 2, and by analogy, the integrated CQI information corresponding to the previous 1-N channel transmission layers, that is, the total CQI information corresponding to N-1 channel transmission layers is reported when RI is N; further, the terminal device may process the integrated CQI information to obtain the snr of each channel transport layer in the sequential order.
It can be seen that, in this example, when the terminal device needs to feed back the CQI information, the terminal device may use a restriction RI (channel rank indication) to feed back the comprehensive CQI information of the channels corresponding to the multiple corresponding channel transmission layers, which is further beneficial to help the base station to calculate and solve the relative weighting coefficients of the channel transmission layers, and is beneficial to improve the precoding accuracy.
Referring to fig. 4, fig. 4 is an interactive schematic view of a precoding method according to an embodiment of the present application, and as shown in the figure, the precoding method includes the following operations.
S401, the terminal device obtains CQI information corresponding to N channel transmission layers, wherein N is a positive integer larger than 1.
S402, the terminal device determines the signal-to-noise ratio of each channel transmission layer according to the CQI information, wherein the signal-to-noise ratio is used for determining the relative weighting coefficient corresponding to each channel transmission layer.
S403, the terminal equipment bears the signal-to-noise ratio of each channel transmission layer through the CQI information.
The channel state information, i.e., CSI information, may include a signal-to-noise ratio of each channel transmission layer.
S404, the terminal equipment reports the channel state information and the codebook to the base station.
S405, the base station determines the signal-to-noise ratio of each channel transmission layer of the N channel transmission layers, and determines the relative weighting coefficient of each channel transmission layer pair according to the signal-to-noise ratio of each channel transmission layer, wherein N is a positive integer greater than 1.
S406, the base station acquires the channel state information and the codebook reported by the terminal equipment.
S407, the base station determines the first precoding matrix according to the channel state information and the codebook.
S408, the base station reconstructs the first channel according to the first precoding matrix and the relative weighting coefficient of each channel transmission layer to obtain a first channel correlation matrix, wherein the first channel correlation matrix is used for representing a second channel obtained after the first channel is reconstructed.
S409, the base station carries out smoothing filtering processing on the first channel correlation matrix to obtain a second channel correlation matrix after the smoothing filtering processing.
S410, the base station determines a second precoding matrix according to the second channel correlation matrix.
The above steps S401 to S404 may refer to steps S301 to S302 in the precoding method described in fig. 3 and their related descriptions. The above steps S405 to S410 may refer to steps S201 to S204 in the precoding method described in fig. 2 and their related descriptions, which are not described herein again.
It can be seen that, in the precoding method and the related apparatus described in the embodiments of the present application, the terminal device obtains CQI information corresponding to N channel transmission layers, where N is a positive integer greater than 1; determining a signal-to-noise ratio of each channel transmission layer according to the CQI information, wherein the signal-to-noise ratio is used for determining a relative weighting coefficient corresponding to each channel transmission layer; the terminal equipment bears the signal-to-noise ratio of each channel transmission layer through the CQI information; the terminal equipment reports channel state information and a codebook to a base station; the base station determines the signal-to-noise ratio of each channel transmission layer of N channel transmission layers, and determines the relative weighting coefficient of each channel transmission layer pair according to the signal-to-noise ratio of each channel transmission layer; a base station acquires channel state information and a codebook reported by terminal equipment; the base station determines the first precoding matrix according to the channel state information and the codebook; the base station reconstructs a first channel according to the first precoding matrix and the relative weighting coefficient of each channel transmission layer to obtain a first channel correlation matrix, wherein the first channel correlation matrix is used for representing a second channel obtained after the first channel is reconstructed; the base station carries out smoothing filtering processing on the first channel correlation matrix to obtain a second channel correlation matrix after the smoothing filtering processing; and the base station determines a second precoding matrix according to the second channel correlation matrix. In this way, the terminal device can determine the signal-to-noise ratio of each channel transmission layer, thereby facilitating the base station to reconstruct the first channel according to the signal-to-noise ratio corresponding to each channel transmission layer and the first pre-coding matrix, so as to obtain a reconstructed first channel correlation matrix, and facilitating the improvement of the channel reconstruction accuracy; finally, smoothing filtering processing can be carried out according to the reconstructed second channel, namely smoothing filtering processing is carried out on the first channel correlation matrix to obtain a second channel correlation matrix, and a second precoding matrix is determined according to the second channel correlation matrix, so that precoding gain is favorably improved, precoding precision is favorably improved, the advantages of the MIMO technology are favorably brought into full play, and larger precoding gain is brought.
Referring to fig. 5, fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure, and as shown in the drawing, the electronic device includes a processor, a memory, a communication interface, and one or more programs applied to a base station, where the one or more programs are stored in the memory, and the one or more programs are configured to be executed by the processor as instructions of the following steps:
determining a signal-to-noise ratio corresponding to the first precoding matrix and each of N channel transmission layers, wherein N is a positive integer greater than 1;
reconstructing a first channel according to the first precoding matrix and the signal-to-noise ratio corresponding to each channel transmission layer to obtain a first channel correlation matrix, wherein the first channel correlation matrix is used for representing a second channel obtained after the first channel is reconstructed;
performing smooth filtering processing on the first channel correlation matrix to obtain a second channel correlation matrix after the smooth filtering processing;
and determining a second precoding matrix according to the second channel correlation matrix.
It can be seen that the electronic device described in the embodiment of the present application may determine a signal-to-noise ratio corresponding to each of N channel transmission layers of a first precoding matrix, where N is a positive integer greater than 1; reconstructing a first channel according to the first precoding matrix and a signal-to-noise ratio corresponding to each channel transmission layer to obtain a first channel correlation matrix, wherein the first channel correlation matrix is used for representing a second channel obtained after the first channel is reconstructed; performing smooth filtering processing on the first channel correlation matrix to obtain a second channel correlation matrix after the smooth filtering processing; and determining a second precoding matrix according to the second channel correlation matrix. Therefore, the channel quality of each channel transmission layer can be represented by the relative weighting coefficients corresponding to the N channel transmission layers, and the characteristics of the original channel can be ensured to the maximum extent; on the basis of the channel reconstruction method, the first channel is reconstructed according to the first pre-coding matrix to obtain a reconstructed channel, and the channel reconstruction accuracy is improved; finally, the second precoding matrix can be determined according to the reconstructed channel, namely the channel correlation matrix, so that the precoding gain can be improved, the precoding precision can be improved, the advantages of the MIMO technology can be fully exerted, and the larger precoding gain is brought.
In one possible example, after the determining the first precoding matrix and the snr for each of the N channel transmission layers, the program further includes instructions for performing the following steps:
and determining the relative weighting coefficient of each channel transmission layer pair according to the signal-to-noise ratio of each channel transmission layer.
In one possible example, in the reconstructing of the first channel according to the first precoding matrix and the snr corresponding to each channel transmission layer, the program includes instructions for:
and reconstructing the first channel according to the first precoding matrix and the relative weighting coefficient of each channel transmission layer.
In one possible example, in the reconstructing the first channel according to the first precoding matrix and the relative weighting coefficient of each channel transmission layer to obtain the first channel correlation matrix, the above procedure includes instructions for performing the following steps:
determining the components of each channel transmission layer according to the first precoding matrix and the relative weighting coefficient of each channel transmission layer to obtain N components;
and carrying out weighted summation on the N components to obtain the first channel correlation matrix.
In one possible example, in the aspect of performing the smoothing filtering process on the first channel correlation matrix to obtain the second channel correlation matrix after the smoothing filtering process, the program includes instructions for performing the following steps:
acquiring a plurality of transmission time intervals;
and performing smoothing filtering processing on the first channel correlation matrix according to the transmission time intervals to obtain a smoothed second channel correlation matrix.
In one possible example, the plurality of transmission time intervals includes a first transmission time interval and a second transmission time interval, wherein the first transmission time interval is earlier than the second transmission time interval.
In one possible example, in the aspect that the first channel correlation matrix is subjected to the smoothing filtering processing according to the transmission time intervals to obtain the smoothed second channel correlation matrix, the program includes instructions for performing the following steps:
determining a first instantaneous channel correlation matrix reconstructed from the first transmission time interval and a second instantaneous channel correlation matrix reconstructed from the second transmission time interval;
determining a filtering factor;
and obtaining the second channel correlation matrix after the smoothing treatment according to the filtering factor, the first instantaneous channel correlation matrix and the second instantaneous channel correlation matrix.
In one possible example, in said determining the first precoding matrix, the above procedure comprises instructions for performing the following steps:
acquiring channel state information and a codebook reported by terminal equipment;
and determining the first precoding matrix according to the channel state information and the codebook.
Referring to fig. 6, fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure, and as shown in the drawing, the electronic device includes a processor, a memory, a communication interface, and one or more programs applied to a terminal device, where the one or more programs are stored in the memory, and the one or more programs are configured to be executed by the processor as instructions for:
acquiring CQI information corresponding to N channel transmission layers, wherein N is a positive integer greater than 1;
and determining the signal-to-noise ratio of each channel transmission layer according to the CQI information, wherein the signal-to-noise ratio is used for determining a relative weighting coefficient corresponding to each channel transmission layer.
It can be seen that the electronic device described in the embodiment of the present application can obtain CQI information corresponding to N channel transmission layers, where N is a positive integer greater than 1; and determining the signal-to-noise ratio of each channel transmission layer according to the CQI information, wherein the signal-to-noise ratio is used for determining a relative weighting coefficient corresponding to each channel transmission layer. In this way, the terminal device may determine the snr corresponding to each channel transmission layer according to the CQI information, thereby facilitating the base station to determine the relative weighting coefficient for characterizing the channel quality according to the snr corresponding to each channel transmission layer.
In one possible example, before obtaining the CQI information corresponding to the N channel transport layers, the program includes instructions for performing the following steps:
acquiring a channel rank indication;
and determining that CQI information corresponding to the N channel transmission layers needs to be reported according to the channel rank indication.
The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It is understood that the electronic device comprises corresponding hardware structures and/or software modules for performing the respective functions in order to realize the above-mentioned functions. Those of skill in the art will readily appreciate that the present application is capable of hardware or a combination of hardware and computer software implementing the various illustrative elements and algorithm steps described in connection with the embodiments provided herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. 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.
In the embodiment of the present application, the electronic device may be divided into the functional units according to the method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
In the case of dividing each functional module according to each function, fig. 7 shows a schematic diagram of a precoding apparatus, and as shown in fig. 7, the apparatus is applied to a base station, and the precoding apparatus 700 may include: a determination unit 701, a reconstruction unit 702 and a filtering unit 703, wherein,
the determining unit 701 is configured to determine a first precoding matrix and a signal-to-noise ratio corresponding to each of N channel transmission layers, where N is a positive integer greater than 1;
the reconstructing unit 702 is configured to reconstruct a first channel according to the first precoding matrix and the signal-to-noise ratio corresponding to each channel transmission layer, so as to obtain a first channel correlation matrix, where the first channel correlation matrix is used to characterize a second channel obtained after the first channel is reconstructed;
the filtering unit 703 is configured to perform smoothing filtering on the first channel correlation matrix to obtain a second channel correlation matrix after the smoothing filtering;
the determining unit 701 is further configured to determine a second precoding matrix according to the second channel correlation matrix.
It can be seen that the precoding apparatus described in the embodiment of the present application may determine a signal-to-noise ratio corresponding to each of N channel transmission layers of a first precoding matrix, where N is a positive integer greater than 1; reconstructing a first channel according to the first precoding matrix and a signal-to-noise ratio corresponding to each channel transmission layer to obtain a first channel correlation matrix, wherein the first channel correlation matrix is used for representing a second channel obtained after the first channel is reconstructed; performing smooth filtering processing on the first channel correlation matrix to obtain a second channel correlation matrix after the smooth filtering processing; and determining a second precoding matrix according to the second channel correlation matrix. Therefore, the channel quality of each channel transmission layer can be represented by the relative weighting coefficients corresponding to the N channel transmission layers, and the characteristics of the original channel can be ensured to the maximum extent; on the basis of the channel reconstruction method, the first channel is reconstructed according to the first pre-coding matrix to obtain a reconstructed channel, and the channel reconstruction accuracy is improved; finally, the second precoding matrix can be determined according to the reconstructed channel, namely the channel correlation matrix, so that the precoding gain can be improved, the precoding precision can be improved, the advantages of the MIMO technology can be fully exerted, and the larger precoding gain is brought.
In a possible example, after the determining the first precoding matrix and the signal-to-noise ratio corresponding to each of the N channel transmission layers, the determining unit 701 is further configured to:
and determining the relative weighting coefficient of each channel transmission layer pair according to the signal-to-noise ratio of each channel transmission layer.
In a possible example, in the aspect that the first channel is reconstructed according to the first precoding matrix and the signal-to-noise ratio corresponding to each channel transmission layer, the reconstructing unit 702 is specifically configured to:
and reconstructing the first channel according to the first precoding matrix and the relative weighting coefficient of each channel transmission layer.
In a possible example, in the aspect that the first channel is reconstructed according to the first precoding matrix and the relative weighting coefficient of each channel transmission layer to obtain a first channel correlation matrix, the reconstructing unit 702 is specifically configured to:
determining the component of each channel transmission layer according to the first precoding matrix and the relative weighting coefficient of each channel transmission layer to obtain N components;
and carrying out weighted summation on the N components to obtain the first channel correlation matrix.
In a possible example, in terms of performing the smoothing filtering process on the first channel correlation matrix to obtain the second channel correlation matrix after the smoothing filtering process, the filtering unit 703 is specifically configured to:
acquiring a plurality of transmission time intervals;
and performing smoothing filtering processing on the first channel correlation matrix according to the transmission time intervals to obtain a smoothed second channel correlation matrix.
In one possible example, the plurality of transmission time intervals includes a first transmission time interval and a second transmission time interval, wherein the first transmission time interval is earlier than the second transmission time interval.
In a possible example, in the aspect that the smoothing filtering processing is performed on the first channel correlation matrix according to the multiple transmission time intervals to obtain the smoothed second channel correlation matrix, the determining unit 701 is specifically configured to:
determining a first instantaneous channel correlation matrix reconstructed from the first transmission time interval and a second instantaneous channel correlation matrix reconstructed from the second transmission time interval;
determining a filtering factor;
and obtaining the second channel correlation matrix after the smoothing treatment according to the filtering factor, the first instantaneous channel correlation matrix and the second instantaneous channel correlation matrix.
In one possible example, in the aspect of determining the first precoding matrix, the determining unit 701 is specifically configured to:
acquiring channel state information and a codebook reported by terminal equipment;
and determining the first precoding matrix according to the channel state information and the codebook.
Referring to fig. 8, fig. 8 shows a schematic diagram of a precoding apparatus, as shown in fig. 8, the apparatus is applied to a terminal device, and the precoding apparatus 800 may include: an acquisition unit 801 and a determination unit 802, wherein,
the obtaining unit 801 is configured to obtain CQI information corresponding to N channel transmission layers, where N is a positive integer greater than 1;
the determining unit 802 is configured to determine, according to the CQI information, a signal-to-noise ratio of each channel transmission layer, where the signal-to-noise ratio is used to determine a relative weighting coefficient corresponding to each channel transmission layer.
It can be seen that the precoding apparatus described in the embodiment of the present application can obtain CQI information corresponding to N channel transmission layers, where N is a positive integer greater than 1; and determining the signal-to-noise ratio of each channel transmission layer according to the CQI information, wherein the signal-to-noise ratio is used for determining a relative weighting coefficient corresponding to each channel transmission layer. In this way, the terminal device may determine the snr corresponding to each channel transmission layer according to the CQI information, thereby facilitating the base station to determine the relative weighting coefficient for characterizing the channel quality according to the snr corresponding to each channel transmission layer.
In a possible example, before obtaining CQI information corresponding to N channel transmission layers, the determining unit 802 is specifically configured to:
acquiring a channel rank indication;
and determining that CQI information corresponding to the N channel transmission layers needs to be reported according to the channel rank indication.
It should be noted that all relevant contents of each step related to the above method embodiment may be referred to the functional description of the corresponding functional module, and are not described herein again.
The electronic device provided by the embodiment is used for executing the device communication method, so that the same effect as the implementation method can be achieved.
In case an integrated unit is employed, the electronic device may comprise a processing module, a storage module and a communication module. The processing module may be configured to control and manage actions of the electronic device, and for example, may be configured to support the electronic device to execute the steps executed by the determining unit 701, the reconstructing unit 702, and the filtering unit 703, and/or the acquiring unit 801 and the determining unit 802. The memory module may be used to support the electronic device in executing stored program codes and data, etc. The communication module can be used for supporting the communication between the electronic equipment and other electronic equipment.
The processing module may be a processor or a controller. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. A processor may also be a combination of computing functions, e.g., a combination of one or more microprocessors, a Digital Signal Processing (DSP) and a microprocessor, or the like. The storage module may be a memory. The communication module may specifically be a radio frequency circuit, a bluetooth chip, a Wi-Fi chip, or other devices that interact with other electronic devices.
Embodiments of the present application also provide a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, the computer program enabling a computer to execute part or all of the steps of any one of the methods described in the above method embodiments, and the computer includes an electronic device.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package, the computer comprising an electronic device.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the above-described division of the units is only one type of division of logical functions, 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 of some interfaces, devices or units, and may be an electric 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 integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several 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 above-mentioned method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash memory disks, read-only memory, random access memory, magnetic or optical disks, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims (13)

1. A precoding method applied to a base station includes:
determining a signal-to-noise ratio corresponding to the first precoding matrix and each of N channel transmission layers, wherein N is a positive integer greater than 1;
reconstructing a first channel according to the first precoding matrix and the signal-to-noise ratio corresponding to each channel transmission layer to obtain a first channel correlation matrix, wherein the first channel correlation matrix is used for representing a second channel obtained after the first channel is reconstructed;
performing smooth filtering processing on the first channel correlation matrix to obtain a second channel correlation matrix after the smooth filtering processing;
and determining a second precoding matrix according to the second channel correlation matrix.
2. The method of claim 1, wherein after the determining the first precoding matrix and the snr for each of the N channel transmission layers, the method further comprises:
determining a relative weighting coefficient of each channel transmission layer pair according to the signal-to-noise ratio of each channel transmission layer;
reconstructing the first channel according to the first precoding matrix and the signal-to-noise ratio corresponding to each channel transmission layer, including:
and reconstructing the first channel according to the first precoding matrix and the relative weighting coefficient of each channel transmission layer.
3. The method of claim 2, wherein reconstructing the first channel according to the first precoding matrix and the relative weighting factor of each channel transmission layer to obtain a first channel correlation matrix comprises:
determining the components of each channel transmission layer according to the first precoding matrix and the relative weighting coefficient of each channel transmission layer to obtain N components;
and carrying out weighted summation on the N components to obtain the first channel correlation matrix.
4. The method according to claim 2 or 3, wherein the performing the smoothing filtering process on the first channel correlation matrix to obtain the second channel correlation matrix after the smoothing filtering process includes:
acquiring a plurality of transmission time intervals;
and performing smoothing filtering processing on the first channel correlation matrix according to the transmission time intervals to obtain a smoothed second channel correlation matrix.
5. The method of claim 4, wherein the plurality of transmission time intervals comprises a first transmission time interval and a second transmission time interval, wherein the first transmission time interval is earlier than the second transmission time interval;
the performing smoothing filtering processing on the first channel correlation matrix according to the transmission time intervals to obtain a smoothed second channel correlation matrix includes:
determining a first instantaneous channel correlation matrix reconstructed from the first transmission time interval and a second instantaneous channel correlation matrix reconstructed from the second transmission time interval;
determining a filtering factor;
and obtaining the second channel correlation matrix after the smoothing treatment according to the filtering factor, the first instantaneous channel correlation matrix and the second instantaneous channel correlation matrix.
6. The method of claim 1, wherein the determining the first precoding matrix comprises:
acquiring channel state information and a codebook reported by terminal equipment;
and determining the first precoding matrix according to the channel state information and the codebook.
7. A precoding method is applied to a terminal device, and is characterized by comprising the following steps:
acquiring CQI information corresponding to N channel transmission layers, wherein N is a positive integer greater than 1;
and determining the signal-to-noise ratio of each channel transmission layer according to the CQI information, wherein the signal-to-noise ratio is used for determining a relative weighting coefficient corresponding to each channel transmission layer.
8. The method of claim 7, wherein before obtaining the CQI information corresponding to the N channel transport layers, the method further comprises:
acquiring a channel rank indication;
and determining that CQI information corresponding to the N channel transmission layers needs to be reported according to the channel rank indication.
9. A precoding apparatus applied to a base station, the apparatus comprising: a determination unit, a reconstruction unit and a filtering unit, wherein,
the determining unit is configured to determine a signal-to-noise ratio corresponding to the first precoding matrix and each of N channel transmission layers, where N is a positive integer greater than 1;
the reconstructing unit is configured to reconstruct a first channel according to the first precoding matrix and the signal-to-noise ratio corresponding to each channel transmission layer to obtain a first channel correlation matrix, where the first channel correlation matrix is used to characterize a second channel obtained after the first channel is reconstructed;
the filtering unit is configured to perform smoothing filtering processing on the first channel correlation matrix to obtain a second channel correlation matrix after the smoothing filtering processing;
the determining unit is further configured to determine a second precoding matrix according to the second channel correlation matrix.
10. A precoding apparatus applied to a terminal device, the apparatus comprising: an acquisition unit and a determination unit, wherein,
the acquiring unit is configured to acquire CQI information corresponding to N channel transmission layers, where N is a positive integer greater than 1;
the determining unit is configured to determine, according to the CQI information, a signal-to-noise ratio of each channel transmission layer, where the signal-to-noise ratio is used to determine a relative weighting coefficient corresponding to each channel transmission layer.
11. An electronic device comprising a processor, memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-6 or 7-8.
12. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any of claims 1-6 or 7-8.
13. A computer program product, wherein the computer program product comprises a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform the method of any one of claims 1-6 or 7-8.
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