CN117394891A - Method, device, equipment and readable storage medium for CSI feedback - Google Patents
Method, device, equipment and readable storage medium for CSI feedback Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
- 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]
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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
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- H04B7/00—Radio transmission systems, i.e. using radiation field
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- 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
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Abstract
Embodiments of the present application provide a method, an apparatus, a device, and a readable storage medium for CSI feedback, where the method includes: acquiring first CSI information and second CSI information, wherein the first CSI information and the second CSI information are obtained by the terminal through measurement processing based on a first reference signal and a second reference signal respectively; and comparing the first CSI information with the second CSI information, and determining to feed back the second CSI information or a first reply, wherein the first reply is used for indicating that the terminal has received the second reference signal and the second CSI information is not required to be fed back.
Description
Technical Field
The embodiment of the application relates to the technical field of communication, in particular to a method, a device, equipment and a readable storage medium for feeding back channel state information (Channel State Information, CSI).
Background
In the channel prediction scheme in the related art, channel prediction is only performed on the network side to reduce the CSI feedback frequency of the terminal, but due to the reduction of the CSI feedback frequency, the real-time performance of the network side for obtaining the current actual CSI is reduced, and if the channel is changed drastically, the prediction performance of the network side is obviously reduced.
Therefore, how to reduce CSI feedback frequency while ensuring CSI prediction accuracy is a problem to be solved.
Disclosure of Invention
The embodiment of the application provides a method, a device, equipment and a readable storage medium for CSI feedback, which solve the technical problem of how to reduce the CSI feedback frequency under the condition of ensuring the accuracy of CSI prediction.
In a first aspect, a method for CSI feedback is provided, applied to a terminal, and the method includes:
acquiring first CSI information and second CSI information, wherein the first CSI information and the second CSI information are obtained by the terminal through measurement processing based on a first reference signal and a second reference signal respectively;
and carrying out channel comparison correlation calculation according to the first CSI information and the second CSI information, and determining whether to feed back the second CSI information or a first reply according to a correlation calculation result, wherein the first reply is used for indicating that the terminal has received the second reference signal and the second CSI information is not required to be fed back.
Optionally, acquiring the first CSI information and the second CSI information includes:
measuring a first reference signal, and obtaining a plurality of third CSI information according to a measurement result of the first reference signal;
Obtaining the first CSI information according to the plurality of third CSI information, wherein the first CSI information is the CSI information on a delay-Doppler spectrum domain;
measuring a second reference signal, and obtaining a plurality of fourth CSI information according to a measurement result of the second reference signal;
and obtaining the second CSI information according to the fourth CSI information, wherein the second CSI information is the CSI information on the delay-Doppler spectrum domain.
Optionally, the first reference signal includes a first CSI-RS group, and the second reference signal includes a second CSI-RS group.
Optionally, the second reference signal is sent by the network device according to a first beamforming, where the first beamforming is determined by the network device according to a precoding matrix, the precoding matrix is generated by the network device according to fifth CSI information, and the fifth CSI information is predicted by the network device according to the first CSI information and an AI model.
Optionally, obtaining the first CSI according to the plurality of third CSI includes:
performing an octave Fourier transform on the plurality of third CSI information to obtain the first CSI information;
obtaining the second CSI according to the fourth CSI, including:
Performing the octave Fourier transform on the plurality of fourth CSI information to obtain the second CSI information.
Optionally, performing channel comparison according to the first CSI and the second CSI, determining to feed back the second CSI or the first reply includes:
and carrying out channel correlation calculation according to the first CSI information and the second CSI information, and determining to feed back the second CSI information or the first reply according to a correlation calculation result.
Optionally, performing channel correlation calculation according to the first CSI and the second CSI, and determining whether to feed back the second CSI according to a correlation calculation result, including:
performing channel correlation calculation according to the first CSI information and the second CSI information to obtain a correlation calculation result;
comparing the correlation calculation result with a correlation threshold;
if the correlation calculation result is greater than or equal to the correlation threshold, a first reply is sent to the network equipment;
and acquiring the correlation threshold configured by the network equipment, wherein the correlation threshold represents the minimum acceptable CSI delay-Doppler spectrum correlation obtained by the network equipment according to the service quality requirement.
Optionally, the method further comprises:
and if the correlation calculation result is smaller than the correlation threshold value, sending the second CSI information to network equipment.
In a second aspect, a method for CSI feedback is provided, applied to a network device, the method comprising:
transmitting a first reference signal;
receiving first CSI information, wherein the first CSI information is obtained by a terminal according to the measurement processing of the first reference signal;
transmitting a second reference signal;
and receiving first reply or second CSI information, wherein the first reply or the second CSI information is fed back by a terminal according to comparison determination of the first CSI information and the second CSI information, the second CSI information is obtained by the terminal according to measurement processing of the second reference signal, and the first reply is used for indicating that the terminal has received the second reference signal and does not need to feed back the second CSI information.
Optionally, sending the second reference signal includes:
according to the first CSI information and the AI model, carrying out CSI information prediction to obtain predicted fifth CSI information;
generating a corresponding precoding matrix according to the fifth CSI information;
determining a first beam forming according to the precoding matrix;
And transmitting a second reference signal through the first beamforming.
Optionally, after receiving the first reply, the method further comprises:
according to the first CSI information and the AI model, carrying out CSI information prediction to obtain predicted sixth CSI information;
generating a corresponding precoding matrix according to the sixth CSI information;
determining a second beam forming according to the precoding matrix;
and transmitting a third reference signal through the second beamforming.
Optionally, after receiving the second CSI information, the method further comprises:
according to the second CSI information and the AI model, carrying out CSI information prediction to obtain predicted seventh CSI information;
generating a corresponding precoding matrix according to the seventh CSI information;
determining a third beam forming according to the precoding matrix;
and transmitting a fourth reference signal through the third beamforming.
Optionally, the method further comprises:
and configuring the correlation threshold, wherein the correlation threshold represents the minimum acceptable CSI delay-Doppler spectrum correlation obtained by the network equipment according to the service quality requirement.
In a third aspect, an apparatus for CSI feedback is provided, applied to a terminal, and includes:
The first acquisition module is used for acquiring first CSI information and second CSI information, wherein the first CSI information and the second CSI information are obtained by the terminal through measurement processing based on a first reference signal and a second reference signal respectively;
and the first determining module is used for comparing the channel according to the first CSI information and the second CSI information, determining to feed back the second CSI information or a first reply, wherein the first reply is used for indicating that the terminal has received the second reference signal and does not need to feed back the second CSI information.
In a fourth aspect, an apparatus for providing CSI feedback, applied to a network device, includes:
the second sending module is used for sending the first reference signal;
the first receiving module is used for receiving first CSI information, wherein the first CSI information is obtained by the terminal according to the first reference signal measurement processing;
a third transmitting module, configured to transmit a second reference signal;
the second receiving module is configured to receive a first reply or second CSI, where the first reply or second CSI is fed back by the terminal according to comparison determination of the first CSI and the second CSI, the second CSI is obtained by the terminal according to measurement processing of the second reference signal, and the first reply is used to indicate that the terminal has received the second reference signal, and does not need to feed back the second CSI.
In a fifth aspect, there is provided a communication device comprising a processor, a memory and a program or instruction stored on the memory and executable on the processor, the program or instruction when executed by the processor implementing the steps of the method according to the first or second aspect.
In a sixth aspect, there is provided a readable storage medium having stored thereon a program or instructions which when executed by a processor implement the steps of the method according to the first or second aspect.
In the embodiment of the application, a terminal acquires first CSI information and second CSI information, wherein the first CSI information and the second CSI information are obtained by measuring the terminal based on a first reference signal and a second reference signal respectively; and then the terminal compares the first CSI information with the second CSI information, determines to feed back the second CSI information or the first reply, wherein the comparison result is used for indicating whether the network equipment has the capability of predicting the second CSI information, if the comparison result indicates that the network equipment does not have the capability of predicting the second CSI information, the terminal feeds back the second CSI information to the network equipment, and if the comparison result indicates that the network equipment has the capability of predicting the second CSI information, the terminal does not feed back the second CSI information to the network equipment, so that the CSI feedback frequency is reduced under the condition of ensuring the accuracy of the CSI prediction.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the application. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
FIG. 1 is a schematic diagram of a codebook evolution process;
FIG. 2 is a schematic diagram of time domain channel compression feedback;
FIG. 3 is a schematic diagram of a communication system provided in an embodiment of the present application;
fig. 4 is one of flowcharts of a method for CSI feedback provided in an embodiment of the present application;
FIG. 5 is a second flowchart of a method for CSI feedback according to an embodiment of the present application;
FIG. 6a is one of the schematic diagrams of channel feedback time domain dynamic compression provided in the embodiments of the present application;
FIG. 6b is a second schematic diagram of channel feedback time domain dynamic compression provided by an embodiment of the present application;
FIG. 7 is a schematic diagram of an LSTM network element structure;
FIG. 8 is a schematic diagram of an LSTM network-based prediction method;
fig. 9 is one of schematic diagrams of an apparatus for CSI feedback according to an embodiment of the present application;
fig. 10 is a schematic diagram of a second embodiment of a CSI feedback device;
Fig. 11 is a schematic diagram of a communication device provided in an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus. Furthermore, the use of "and/or" in the specification and claims means at least one of the connected objects, e.g., a and/or B, meaning that it includes a single a, a single B, and that there are three cases of a and B.
In the embodiments of the present application, words such as "exemplary" or "such as" are used to mean serving as examples, illustrations, or descriptions. Any embodiment or design described herein as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.
Among different channel codebook types supported by a New air interface (NR), precoding vectors of each layer of a Type 1 (Type I) codebook are quantized through a two-dimensional Discrete Fourier Transform (DFT) vector and phase rotation thereof, and quantization accuracy is not high, however, type I terminal processing is simplest and cost is lowest, so that the precoding matrix indication (Precoding matrix indicator, PMI) feedback codebook which is considered as the most basic in NR is a terminal selection technology of NR; the basic structure of the Type 2 (Type II) codebook is to use a linear weighted combination of a set of basis vectors as precoding vectors in each polarization direction of each layer. The PMI fed back by the terminal comprises information of a base vector, and amplitude and phase information of a weighting coefficient. From the characteristics of the wireless channel, multipath with a strong energy contribution typically has sparse characteristics, i.e., they occupy only a small subspace of the overall N-dimensional space. Therefore, the number of base vectors required to represent the subspace in which the multipaths are located can be greatly reduced, thereby achieving the purpose of compression.
Since there is a certain correlation between the amplitude and phase of different sub-bands, especially the phase, the phase variation of different sub-bands is due to the time delay variation of the multipath in the wireless channel to different positions on the frequency domain. Such correlation makes it possible to further compress the overhead of the Type II codebook.
As shown in fig. 1, from Type I to Type II, the base vector is selected in the space domain to perform compression, and Type II further selects the base vector in the frequency subband based on Type II, so as to implement channel compression in the frequency domain. As shown in fig. 2, channel feedback compression is performed using time domain correlation.
Referring to fig. 3, an architecture diagram of a wireless communication system according to an embodiment of the present invention is provided. The wireless communication system may include: a network device 31 and a terminal 32, the terminal 32 being in communication (transmitting signalling or transmitting data) with the network device 31. In practical application, the connection between the devices may be wireless connection, and for convenience and intuitionistic representation of the connection relationship between the devices, a solid line is used for illustration in fig. 3.
The terminal referred to in the present application may be a mobile phone, a tablet (Tablet Personal Computer), a Laptop (Laptop Computer) or a terminal-side Device called a notebook, a personal digital assistant (Personal Digital Assistant, PDA), a palm top, a netbook, an ultra-mobile personal Computer (ultra-mobile personal Computer, UMPC), a mobile internet appliance (Mobile Internet Device, MID), an augmented reality (augmented reality, AR)/Virtual Reality (VR) Device, a robot, a Wearable Device (weather Device), a vehicle-mounted Device (VUE), a pedestrian terminal (PUE), a smart home (home Device with a wireless communication function, such as a refrigerator, a television, a washing machine, or furniture, etc.), a game machine, a personal Computer (personal Computer, PC), a teller machine, or a self-service machine, etc., and the Wearable Device includes: intelligent wrist-watch, intelligent bracelet, intelligent earphone, intelligent glasses, intelligent ornament (intelligent bracelet, intelligent ring, intelligent necklace, intelligent anklet, intelligent foot chain etc.), intelligent wrist strap, intelligent clothing etc.. It should be noted that, the embodiment of the present application is not limited to a specific type of terminal.
The network device to which the present application relates may comprise an access network device, wherein the access network device may also be referred to as a radio access network device, a radio access network (Radio Access Network, RAN), a radio access network function or a radio access network element. The access network device may include a base station, a WLAN access point, a WiFi node, or the like, where the base station may be referred to as a node B, an evolved node B (eNB), an access point, a base transceiver station (Base Transceiver Station, BTS), a radio base station, a radio transceiver, a basic service set (Basic Service Set, BSS), an extended service set (Extended Service Set, ESS), a home node B, a home evolved node B, a transmission receiving point (Transmitting Receiving Point, TRP), or some other suitable term in the field, and the base station is not limited to a specific technical vocabulary so long as the same technical effect is achieved, and it should be noted that in the embodiment of the present application, only the base station in the NR system is described by way of example, and the specific type of the base station is not limited.
Referring to fig. 4, an embodiment of the present application provides a method for CSI feedback, applied to a terminal, including the specific steps of: step 401 and step 402.
Step 401: acquiring first CSI information and second CSI information, wherein the first CSI information and the second CSI information are obtained by the terminal through measurement processing based on a first reference signal and a second reference signal respectively;
Optionally, the first and second reference signals may include CSI-RS, or CSI-RS groups, if the first and second reference signals include CSI-RS groups, the network device changes the transmission form of the reference signals into pulse groups, and channel feedback of a middle empty portion of adjacent CSI-RS groups is complemented by means of channel time domain correlation, so that channel feedback overhead is reduced.
Step 402: and comparing the first CSI information with the second CSI information, and determining to feed back the second CSI information or a first reply, wherein the first reply is used for indicating that the terminal has received the second reference signal and the second CSI information is not required to be fed back.
And if the comparison result indicates that the network equipment has the capability of predicting the second CSI information, the terminal does not feed back the second CSI information to the network equipment, and the CSI feedback frequency is reduced under the condition of ensuring the accuracy of the CSI prediction.
In one embodiment of the present application, acquiring the first CSI information and the second CSI information includes:
Measuring a first reference signal, and obtaining a plurality of third CSI information according to a measurement result of the first reference signal;
obtaining the first CSI information according to the plurality of third CSI information, wherein the first CSI information is the CSI information on a delay-Doppler spectrum domain;
measuring a second reference signal, and obtaining a plurality of fourth CSI information according to a measurement result of the second reference signal;
obtaining second CSI information according to the fourth CSI information, wherein the second CSI information is the CSI information on a delay-Doppler spectrum domain;
wherein the first reference signal and the second reference signal are two adjacent reference signals sent by the network device.
The first reference signal includes a first CSI-RS group, and the second reference signal includes a second CSI-RS group.
The third CSI information and the fourth CSI information may also be referred to as CSI time-frequency space results, and the first CSI information and the second CSI information may also be referred to as CSI actual measurement results in the delay-doppler domain.
In the related art, the compression of the CSI is mainly concentrated on the spatial domain and the frequency domain at the same time, and in this embodiment, the CSI is compressed in the time domain, so as to further reduce the feedback overhead.
In one embodiment of the present application, the second reference signal is sent by the network device according to a first beamforming, where the first beamforming is determined by the network device according to a precoding matrix, where the precoding matrix is generated by the network device according to fifth CSI information, where the fifth CSI information is predicted by the network device according to the received first CSI information and an artificial intelligence (Artificial Intelligence, AI) model.
It may be understood that the second CSI information is obtained by the terminal performing measurement processing according to the second reference signal, in the prior art, the terminal needs to feed back the second CSI information to the network device as an actual measurement result of the second reference signal, in this embodiment, since the network device has a channel prediction capability, the network device may predict the fifth CSI information at a subsequent time according to the first CSI information and the AI model that are received before, and for the network device, the network device may not receive CSI feedback of the second reference signal from the terminal (i.e. may not receive the second CSI information), and take the fifth CSI information obtained by prediction thereof as CSI feedback of the second reference signal.
In one embodiment of the present application, obtaining the first CSI according to the plurality of third CSI includes:
Performing an octave Fourier transform on the plurality of third CSI information to obtain the first CSI information;
obtaining the second CSI according to the fourth CSI, including:
performing the octave Fourier transform on the plurality of fourth CSI information to obtain the second CSI information.
Optionally, performing channel comparison according to the first CSI and the second CSI, determining to feed back the second CSI or the first reply includes:
and carrying out channel correlation calculation according to the first CSI information and the second CSI information, and determining to feed back the second CSI information or the first reply according to a correlation calculation result.
In one embodiment of the present application, performing channel correlation calculation according to the first CSI information and the second CSI information, and determining whether to feed back the second CSI information according to a correlation calculation result, includes:
performing channel correlation calculation according to the first CSI information and the second CSI information to obtain a correlation calculation result;
comparing the correlation calculation result with a correlation threshold;
if the correlation calculation result is greater than or equal to the correlation threshold, a first reply is sent to the network equipment;
The correlation threshold may also be referred to as an error threshold.
And if the correlation calculation result is smaller than the correlation threshold value, sending the second CSI information to network equipment.
In one embodiment of the present application, the method further comprises:
and acquiring the correlation threshold configured by the network equipment, wherein the correlation threshold represents the minimum acceptable CSI delay-Doppler spectrum correlation obtained by the network equipment according to the service quality requirement.
In the embodiment of the application, the network equipment is utilized to conduct channel prediction and a correlation threshold set by the network equipment, and the terminal judges whether the channel characteristics are unacceptably changed by the AI model of the network equipment, so that the terminal can feed back the CSI information at a lower frequency, thereby reducing feedback expenditure, and through correlation calculation and correlation threshold comparison conducted at the terminal, the terminal can feed back the actually measured CSI information more timely when the channel state is obviously changed, and the reliability of a channel measurement mechanism is improved.
Referring to fig. 5, an embodiment of the present application provides a method for CSI feedback, applied to a network device, including the following specific steps: step 501, step 502, step 503, step 504.
Step 501: transmitting a first reference signal;
step 502: receiving first CSI information, wherein the first CSI information is obtained by a terminal according to the measurement processing of the first reference signal;
step 503: transmitting a second reference signal;
step 504: and receiving first reply or second CSI information, wherein the first reply or the second CSI information is fed back by a terminal according to comparison determination of the first CSI information and the second CSI information, the second CSI information is obtained by the terminal according to measurement processing of the second reference signal, and the first reply is used for indicating that the terminal has received the second reference signal and does not need to feed back the second CSI information.
Wherein the first reference signal and the second reference signal are two adjacent reference signals sent by the network device.
In one embodiment of the present application, transmitting the second reference signal includes:
according to the first CSI information and the AI model, carrying out CSI information prediction to obtain predicted fifth CSI information;
generating a corresponding precoding matrix according to the fifth CSI information;
determining a first beam forming according to the precoding matrix;
and transmitting a second reference signal through the first beamforming.
In one embodiment of the present application, after receiving the first reply, the method further comprises:
according to the first CSI information and the AI model, carrying out CSI information prediction to obtain predicted sixth CSI information;
generating a corresponding precoding matrix according to the sixth CSI information;
determining a second beam forming according to the precoding matrix;
and transmitting a third reference signal through the second beamforming.
When the terminal feeds back the first reply to the base station, the correlation of the current channel characteristics is strong, and the network equipment can continuously predict the CSI information.
In one embodiment of the present application, after receiving the second CSI information, the method further comprises:
according to the second CSI information and the AI model, carrying out CSI information prediction to obtain predicted seventh CSI information;
generating a corresponding precoding matrix according to the seventh CSI information;
determining a third beam forming according to the precoding matrix;
and transmitting a fourth reference signal through the third beamforming.
In one embodiment of the present application, the method further comprises:
and configuring the correlation threshold, wherein the correlation threshold represents the minimum acceptable CSI delay-Doppler spectrum correlation obtained by the network equipment according to the service quality requirement.
In the embodiment of the application, the network equipment is utilized to conduct channel prediction and a correlation threshold set by the network equipment, and the terminal judges whether the channel characteristics are unacceptably changed by the AI model of the network equipment, so that the terminal can feed back the CSI information at a lower frequency, thereby reducing feedback expenditure, and through correlation calculation and correlation threshold comparison conducted at the terminal, the terminal can feed back the actually measured CSI information more timely when the channel state is obviously changed, and the reliability of a channel measurement mechanism is improved.
Referring to fig. 6a and 6b, the specific steps include:
step 1: the base station configures and transmits relevant parameters of the CSI-RS group to the terminal.
Optionally, the relevant parameters of the CSI-RS group include one or more of:
(1) A reference signal number (N) contained in each CSI-RS group;
(2) Adjacent reference signal interval (t) in CSI-RS group;
(3) CSI-RS group inter-group spacing (T);
(4) CSI correlation threshold (E).
CSI correlation thresholds may also be referred to herein as correlation thresholds.
Before actual deployment, a certain actual measurement or simulation work may be required to determine the influence of the correlation between different delay-doppler spectrums under different environmental motion states on the performance of the channel prediction model, so that the base station can obtain the acceptable minimum CSI delay-doppler spectrum correlation, namely CSI correlation threshold E according to the requirements of the service quality (Quality of Service, qoS) of the base station.
Step 2: the base station transmits a first CSI-RS group to the terminal.
The first CSI-RS group may also be referred to herein as a first reference signal.
Step 3: and the terminal performs measurement estimation on the received first CSI-RS group to obtain a plurality of third CSI information, and performs the Fourier transform on the third CSI information to convert the third CSI information into the first CSI information on the delay-Doppler spectrum domain.
The measurement estimate herein may also be referred to as a CSI-RS pulse measurement estimate.
The plurality of third CSI information may also be referred to herein as third CSI time-frequency space information, or as third CSI time-frequency space result, or as third CSI feedback, or as third CSI actual measurement result.
The first CSI information herein may also be referred to as a first CSI measured result, or as first CSI measured doppler information, or as first CSI feedback.
Step 4: the terminal compresses and feeds back to the base station the first CSI information over the delay-doppler domain.
Step 5: the base station decompresses the CSI information sent by the terminal, and performs inverse octyl Fourier transform on the CSI information to restore the CSI information to first CSI information, predicts fifth CSI information at a subsequent moment according to the first CSI information and an AI model, and generates a corresponding precoding matrix.
The AI model herein may also be referred to as an AI pre-training model.
The fifth CSI information herein may also be referred to as fifth CSI time-frequency space information, or CSI prediction result.
Step 6: and the base station performs beam forming according to the precoding matrix obtained by the fifth CSI information.
Step 7: after transmitting the first CSI-RS group, the base station transmits a second CSI-RS group to the terminal at a CSI-RS group inter-group interval (T).
Step 8: and the terminal performs measurement estimation on the second CSI-RS group to obtain a plurality of fourth CSI information, and performs the Fourier transform on the fourth CSI information to convert the fourth CSI information into the second CSI information on the delay-Doppler spectrum domain.
The plurality of fourth CSI information may also be referred to herein as fourth CSI time-frequency space information, or as fourth CSI time-frequency space result, or as fourth CSI feedback, or as fourth CSI actual measurement result.
The second CSI information herein may also be referred to as a second CSI measured result, or as second CSI measured doppler information, or as second CSI feedback.
Step 9: and (3) the terminal calculates the channel correlation between the first CSI information obtained in the step (3) and the second CSI information obtained in the step (8), if the calculated channel correlation is greater than the CSI correlation threshold (E), the terminal executes the step (10 a), and if the calculated channel correlation is less than the CSI correlation threshold (E), the terminal executes the step (10 b).
The terminal has the capability of performing correlation calculation on the delay-Doppler spectrum at different moments to judge whether the relative motion state between the terminal and the surrounding environment is changed significantly, and the terminal uses the delay-Doppler spectrum fed back to the base station at the last time as a reference result to perform correlation calculation with the delay-Doppler spectrum obtained by subsequent analysis of the CSI-RS.
Because the CSI delay-doppler spectrum is a two-dimensional tensor, the correlation between different delay-doppler spectra can be represented by the correlation coefficients of the matrix, as follows:
wherein A, B is a delay-doppler spectrum matrix, m and n are rows and columns of the matrix, r is a matrix correlation coefficient.
The closer r is to 1, the stronger the correlation of the two delay-doppler spectra, which means that the closer the relative motion state between the terminal and the surrounding environment and the corresponding channel state are, and the more accurate the channel prediction result is.
And the terminal judges whether the base station has the capability of predicting the subsequent CSI according to the CSI information obtained by the analysis of the periodically issued CSI-RS, and determines whether to feed back the latest CSI actual measurement result to the base station.
Channel prediction is introduced at the base station, and a channel correlation monitoring mechanism is added at the terminal, so that the CSI feedback frequency is reduced under the condition that the accuracy of the CSI prediction is ensured.
Step 10a: the terminal feeds back a first reply to the base station, the first reply being indicative that the terminal has received the second reference signal but no other information has to be fed back, and then performs step 11a, see fig. 6a.
The first reply herein may also be referred to as a discrimination result reply signaling, or a first reply (Acknowledge character, ACK).
In this embodiment, after receiving the CSI-RS, the terminal has two cases, one is that the delay-doppler spectrum correlation is smaller than the CSI correlation threshold, and at this time, similar to the existing flow, CSI information is fed back to the base station; in another embodiment, when the correlation of the delay-doppler spectrum is greater than the CSI correlation threshold, the terminal may not feed back CSI information by using the CSI prediction capability of the base station, but if the terminal does not feed back any information to the base station, the base station cannot determine whether the current channel characteristics are strong in correlation and not fed back, or whether the CSI-RS or CSI feedback is lost in the transmission process, so that for the reason that the terminal does not feed back CSI to the base station, a first reply is introduced in this embodiment, and when the terminal feeds back the first reply to the base station, the base station represents that the current channel characteristics are strong in correlation, and the base station may continue to predict CSI information.
Step 10b: the terminal compresses and feeds back the second CSI information on the delay-doppler domain to the base station and then performs step 11b, see fig. 6b.
The second CSI information herein may also be referred to as CSI actual measurement result, or CSI actual measurement doppler information.
Step 11a: after receiving the first reply, the base station continues to predict the CSI at the subsequent time and generates a corresponding precoding matrix, and then executes step 12, referring to fig. 6a.
For example, according to the first CSI and the AI model, CSI prediction is performed to obtain predicted sixth CSI; generating a corresponding precoding matrix according to the sixth CSI information; determining a second beam forming according to the precoding matrix; and transmitting a third reference signal through the second beamforming.
Step 11b: the base station receives the second CSI sent by the terminal, predicts the CSI at the subsequent moment by using the second CSI and the AI model, and generates a corresponding precoding matrix, and then executes step 12, referring to fig. 6b.
For example, according to the second CSI and the AI model, CSI prediction is performed to obtain predicted seventh CSI; generating a corresponding precoding matrix according to the seventh CSI information; determining a third beam forming according to the precoding matrix; and transmitting a fourth reference signal through the third beamforming.
Step 12: and (7) the base station performs beam forming according to the precoding matrix obtained by the CSI prediction information, and then returns to the step (7).
In an embodiment, the base station has the capability of performing CSI prediction (i.e., instant sequence prediction) based on the AI model and CSI time-frequency space domain information (i.e., measured channel information), and the AI model currently predicting the time sequence may be a recurrent neural network (Recurrent Neural Network, RNN) network.
The RNN network includes a Long short-term memory (LSTM) network, and the structure of the LSTM is shown in fig. 7.
Wherein x is t For network input at time t, y t For the network output at the moment t, h t And c t Representing the state of the network element at time t.
The LSTM network needs to add three gates in the network unit for learning the time sequence characteristics, namely a forgetting gate, wherein the forgetting gate mainly performs selective forgetting on input transmitted by the last node, and specifically, z is obtained through calculation f C as forget gating to control last state t-1 Which needs to be left and which needs to be forgotten; the memory gate is followed by a memory gate which will input x t Optionally remembering, the current input is represented by z calculated previously. And the gating signal for selecting which information is memorized is denoted by z i Performing control; finally, the output gate will determine which information will be taken as the output of the current state, mainly by z O Control and also obtain output c for memory gate O Scaling is performed (scaling by tanh activation function). Therefore, the LSTM network can control the transmission state through the gating state, memorize information which needs to be memorized for a long time, and discard unimportant information. In addition to classical LSTM networks, the recent advent of gated loop units (Gated Recurrent Unit, GRU) networks can achieve similar effects with fewer new parameters introduced, are more trainable, and can also be one of the options for channel prediction methods. For this type of AI model, a possible prediction is shown in fig. 8.
In the prediction process, firstly, the actually measured CSI result is taken as a model input to obtain a CSI prediction result, in the next prediction process, the CSI prediction result obtained in the previous round can be regarded as new known CSI, the earliest actually measured data is removed from the model input and the CSI prediction result of the previous round is added as the model input to keep the shape of an input matrix unchanged, and so on, the prediction process can be continued in theory, but in practice, the increase of the prediction result in the model input and the characteristic change of a channel per se are considered, and other mechanisms are added to limit the time for ending the prediction to ensure the quality of the prediction result.
Referring to fig. 9, an embodiment of the present application provides a device for CSI feedback, applied to a terminal, where the device 900 includes:
a first obtaining module 901, configured to obtain first CSI information and second CSI information, where the first CSI information and the second CSI information are obtained by the terminal performing measurement processing based on a first reference signal and a second reference signal respectively;
a first determining module 902, configured to perform channel comparison according to the first CSI and the second CSI, determine to feed back the second CSI or a first reply, where the first reply is used to indicate that the terminal has received the second reference signal, and does not need to feed back the second CSI.
In one embodiment of the present application, the first obtaining module 901 is further configured to:
measuring a first reference signal, and obtaining a plurality of third CSI information according to a measurement result of the first reference signal;
obtaining the first CSI information on the delay-Doppler spectrum domain according to the third CSI information;
measuring a second reference signal, and obtaining a plurality of fourth CSI information according to a measurement result of the second reference signal;
and obtaining second CSI information on the delay-Doppler spectrum domain according to the fourth CSI information.
In one embodiment of the present application, the first reference signal includes a first CSI-RS group and the second reference signal includes a second CSI-RS group.
In one embodiment of the present application, the second reference signal is sent by the network device according to a first beamforming, where the first beamforming is determined by the network device according to a precoding matrix, where the precoding matrix is generated by the network device according to fifth CSI information, where the fifth CSI information is predicted by the network device according to the first CSI information and an AI model.
In one embodiment of the present application, the first obtaining module 901 is further configured to:
performing a octave fourier transform on the plurality of third CSI information, converting to first CSI information on a delay-doppler spectrum domain;
performing a octave fourier transform on the plurality of fourth CSI information, and converting the octave fourier transform to second CSI information on a delay-doppler spectrum domain.
In one embodiment of the present application, the first determining module 902 is further configured to: and carrying out channel correlation calculation according to the first CSI information and the second CSI information, and determining to feed back the second CSI information or the first reply according to a correlation calculation result.
Optionally, the first determining module 902 is further configured to:
performing channel correlation calculation according to the first CSI information and the second CSI information to obtain a correlation calculation result;
comparing the correlation calculation result with a correlation threshold;
and if the correlation calculation result is greater than or equal to the correlation threshold, sending a first reply to the network equipment, wherein the first reply is used for indicating that the terminal has received a second reference signal, and the second CSI information is not required to be fed back.
In one embodiment of the present application, the apparatus further comprises:
and a second obtaining module, configured to obtain the correlation threshold configured by the network device, where the correlation threshold represents a minimum acceptable CSI-delay-doppler spectrum correlation obtained by the network device according to a quality of service requirement.
In one embodiment of the present application, the apparatus further comprises:
and the first sending module is used for sending the second CSI information to the network equipment if the correlation calculation result is smaller than the correlation threshold value.
The device provided in this embodiment of the present application can implement each process implemented by the method embodiment shown in fig. 4, and achieve the same technical effects, so that repetition is avoided, and details are not repeated here.
Referring to fig. 10, an embodiment of the present application provides an apparatus for CSI feedback, applied to a network device, where apparatus 1000 includes:
a second transmitting module 1001, configured to transmit a first reference signal;
a first receiving module 1002, configured to receive first CSI, where the first CSI is obtained by a terminal according to the first reference signal measurement process;
a third transmitting module 1003, configured to transmit a second reference signal;
the second receiving module 1004 is configured to receive a first reply or second CSI, where the first reply or second CSI is determined by comparing and feeding back the first CSI and the second CSI, and the second CSI is obtained by the terminal according to the second reference signal measurement process, and the first reply is used to indicate that the terminal has received the second reference signal, and does not need to feed back the second CSI.
In one embodiment of the present application, the third transmitting module 1003 is further configured to:
according to the first CSI information and the AI model, carrying out CSI information prediction to obtain predicted fifth CSI information;
generating a corresponding precoding matrix according to the fifth CSI information;
determining a first beam forming according to the precoding matrix;
And transmitting a second reference signal through the first beamforming.
In one embodiment of the present application, the apparatus further comprises: a first processing module for:
according to the first CSI information and the AI model, carrying out CSI information prediction to obtain predicted sixth CSI information;
generating a corresponding precoding matrix according to the sixth CSI information;
determining a second beam forming according to the precoding matrix;
and transmitting a third reference signal through the second beamforming.
In one embodiment of the present application, the apparatus further comprises: a second processing module for:
according to the second CSI information and the AI model, carrying out CSI information prediction to obtain predicted seventh CSI information;
generating a corresponding precoding matrix according to the seventh CSI information;
determining a third beam forming according to the precoding matrix;
and transmitting a fourth reference signal through the third beamforming.
In one embodiment of the present application, the apparatus further comprises:
a configuration module, configured to configure the correlation threshold, where the correlation threshold represents a minimum acceptable CSI delay-doppler spectrum correlation obtained by the network device according to a quality of service requirement.
The device provided in this embodiment of the present application can implement each process implemented by the method embodiment shown in fig. 5, and achieve the same technical effects, so that repetition is avoided, and details are not repeated here.
As shown in fig. 11, the embodiment of the present application further provides a communication device 1100, including a processor 1101, a memory 1102, and a program or an instruction stored in the memory 1102 and capable of running on the processor 1101, where the program or the instruction is executed by the processor 1101 to implement each process of the embodiment of the method of fig. 4 or fig. 5, and achieve the same technical effect. In order to avoid repetition, a description thereof is omitted.
The embodiment of the present application further provides a readable storage medium, where a program or an instruction is stored, and when the program or the instruction is executed by a processor, the processes of the embodiment of the method shown in fig. 4 or fig. 5 are implemented, and the same technical effects can be achieved, so that repetition is avoided, and no further description is given here.
Wherein the processor is a processor in the terminal described in the above embodiment. The readable storage medium includes a computer readable storage medium such as a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk or an optical disk, and the like.
The steps of a method or algorithm described in connection with the disclosure herein may be embodied in hardware, or may be embodied in software instructions executed by a processor. The software instructions may be comprised of corresponding software modules that may be stored in RAM, flash memory, ROM, EPROM, EEPROM, registers, hard disk, a removable disk, a read-only optical disk, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. In addition, the ASIC may be carried in a core network interface device. The processor and the storage medium may reside as discrete components in a core network interface device.
Those of skill in the art will appreciate that in one or more of the examples described above, the functions described herein may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, these functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
The foregoing embodiments have been provided for the purpose of illustrating the technical solution and advantageous effects of the present application in further detail, and it should be understood that the foregoing embodiments are merely illustrative of the present application and are not intended to limit the scope of the present application, and any modifications, equivalents, improvements, etc. made on the basis of the technical solution of the present application should be included in the scope of the present application.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present embodiments may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present application may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various modifications and variations can be made to the embodiments of the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the embodiments of the present application fall within the scope of the claims and the equivalents thereof, the present application is intended to encompass such modifications and variations.
Claims (17)
1. A method for channel state information CSI feedback, applied to a terminal, the method comprising:
acquiring first CSI information and second CSI information, wherein the first CSI information and the second CSI information are obtained by the terminal through measurement processing based on a first reference signal and a second reference signal respectively;
and carrying out channel comparison according to the first CSI information and the second CSI information, and determining to feed back the second CSI information or a first reply, wherein the first reply is used for indicating that the terminal has received the second reference signal and the second CSI information is not required to be fed back.
2. The method of claim 1, wherein obtaining the first CSI information and the second CSI information comprises:
measuring the first reference signal, and obtaining a plurality of third CSI information according to the measurement result of the first reference signal;
obtaining the first CSI information according to the plurality of third CSI information, wherein the first CSI information is the CSI information on a delay-Doppler spectrum domain;
measuring the second reference signal, and obtaining a plurality of fourth CSI information according to the measurement result of the second reference signal;
and obtaining the second CSI information according to the fourth CSI information, wherein the second CSI information is the CSI information on the delay-Doppler spectrum domain.
3. The method of claim 2, wherein the first reference signal comprises a first set of channel state information reference signals, CSI-RS, and the second reference signal comprises a second set of CSI-RS.
4. The method of claim 2, wherein the second reference signal is transmitted by a network device according to a first beamforming, the first beamforming being determined by the network device according to a precoding matrix generated by the network device according to fifth CSI information predicted by the network device from the received first CSI information and an artificial intelligence AI model.
5. The method of claim 2, wherein obtaining the first CSI information from the plurality of third CSI information comprises:
performing an octave Fourier transform on the plurality of third CSI information to obtain the first CSI information;
obtaining the second CSI according to the fourth CSI, including:
performing the octave Fourier transform on the plurality of fourth CSI information to obtain the second CSI information.
6. The method of claim 1, wherein determining to feed back the second CSI information or the first reply based on the channel comparison of the first CSI information and the second CSI information comprises:
And carrying out channel correlation calculation according to the first CSI information and the second CSI information, and determining to feed back the second CSI information or the first reply according to a correlation calculation result.
7. The method of claim 6, wherein performing channel correlation calculations based on the first CSI and the second CSI and determining feedback of the second CSI or the first reply based on the correlation calculation results comprises:
performing channel correlation calculation according to the first CSI information and the second CSI information to obtain a correlation calculation result;
comparing the correlation calculation result with a correlation threshold;
if the correlation calculation result is greater than or equal to the correlation threshold, a first reply is sent to the network equipment;
and if the correlation calculation result is smaller than the correlation threshold value, sending the second CSI information to network equipment.
8. The method of claim 7, wherein the method further comprises:
and acquiring the correlation threshold configured by the network equipment, wherein the correlation threshold represents the minimum acceptable CSI delay-Doppler spectrum correlation obtained by the network equipment according to the service quality requirement.
9. A method of CSI feedback applied to a network device, the method comprising:
transmitting a first reference signal;
receiving first CSI information, wherein the first CSI information is obtained by a terminal according to the measurement processing of the first reference signal;
transmitting a second reference signal;
and receiving a first reply or second CSI information, wherein the first reply or the second CSI information is fed back by a terminal according to comparison determination of the first CSI information and the second CSI information, the second CSI information is obtained by the terminal according to measurement processing of the second reference signal, and the first reply is used for indicating that the terminal has received the second reference signal and does not need to feed back the second CSI information.
10. The method of claim 9, wherein transmitting the second reference signal comprises:
according to the first CSI information and the AI model, carrying out CSI information prediction to obtain predicted fifth CSI information;
generating a corresponding precoding matrix according to the fifth CSI information;
determining a first beam forming according to the precoding matrix;
and transmitting a second reference signal through the first beamforming.
11. The method of claim 9, wherein after receiving the first reply, the method further comprises:
According to the first CSI information and the AI model, carrying out CSI information prediction to obtain predicted sixth CSI information;
generating a corresponding precoding matrix according to the sixth CSI information;
determining a second beam forming according to the precoding matrix;
and transmitting a third reference signal through the second beamforming.
12. The method of claim 9, wherein after receiving the second CSI information, the method further comprises:
according to the second CSI information and the AI model, carrying out CSI information prediction to obtain predicted seventh CSI information;
generating a corresponding precoding matrix according to the seventh CSI information;
determining a third beam forming according to the precoding matrix;
and transmitting a fourth reference signal through the third beamforming.
13. The method according to claim 9, wherein the method further comprises:
a correlation threshold is configured, wherein the correlation threshold represents the minimum acceptable CSI delay-Doppler spectrum correlation obtained by the network equipment according to the service quality requirement.
14. A device for CSI feedback, applied to a terminal, comprising:
the first acquisition module is used for acquiring first CSI information and second CSI information, wherein the first CSI information and the second CSI information are obtained by the terminal through measurement processing based on a first reference signal and a second reference signal respectively;
And the first determining module is used for comparing the channel according to the first CSI information and the second CSI information, determining to feed back the second CSI information or a first reply, wherein the first reply is used for indicating that the terminal has received the second reference signal and does not need to feed back the second CSI information.
15. An apparatus for CSI feedback, applied to a network device, comprising:
the second sending module is used for sending the first reference signal;
the first receiving module is used for receiving first CSI information, wherein the first CSI information is obtained by the terminal according to the first reference signal measurement processing;
a third transmitting module, configured to transmit a second reference signal;
the second receiving module is configured to receive a first reply or second CSI, where the first reply or second CSI is fed back by the terminal according to comparison determination of the first CSI and the second CSI, the second CSI is obtained by the terminal according to measurement processing of the second reference signal, and the first reply is used to indicate that the terminal has received the second reference signal, and does not need to feed back the second CSI.
16. A communication device comprising a processor, a memory and a program or instruction stored on the memory and executable on the processor, which when executed by the processor implements the steps of the method of any one of claims 1 to 13.
17. A readable storage medium, characterized in that it stores thereon a program or instructions which, when executed by a processor, implement the steps of the method according to any of claims 1 to 13.
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| CN202210846696.4A CN117394891A (en) | 2022-07-05 | 2022-07-05 | Method, device, equipment and readable storage medium for CSI feedback |
| PCT/CN2023/103970 WO2024007957A1 (en) | 2022-07-05 | 2023-06-29 | Csi feedback method and apparatus, device, and readable storage medium |
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| WO2021253205A1 (en) * | 2020-06-16 | 2021-12-23 | Qualcomm Incorporated | Frequency domain basis adjustments for channel state information reporting |
| CN114079493A (en) * | 2020-08-13 | 2022-02-22 | 华为技术有限公司 | Channel state information measurement feedback method and related device |
| KR102402854B1 (en) * | 2020-09-01 | 2022-05-26 | 주식회사 엘지유플러스 | Base station apparatus and beamforming method thereof |
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