Information acquisition method, apparatus, device, medium, and product
By utilizing the Topplitz properties of the channel correlation matrix and the fast Fourier transform, the computational complexity of CSI feedback in MIMO systems is reduced, solving the hardware overhead problem under high-dimensional conditions and achieving high efficiency and accuracy in CSI acquisition.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- BEIJING SPREADTRUM HI TECH COMM TECH CO LTD
- Filing Date
- 2026-03-13
- Publication Date
- 2026-06-19
Smart Images
Figure CN122247801A_ABST
Abstract
Description
Technical Field
[0001] This disclosure relates to the technical field of communications, and more specifically, to an information acquisition method, apparatus, device, medium, and product. Background Technology
[0002] With the continuous evolution of communication systems, the number of base station antenna ports is constantly increasing, which brings unprecedented challenges to the acquisition of Channel State Information (CSI). CSI feedback plays a core role in several key physical layer functions such as radio resource scheduling, beamforming, and link adaptation.
[0003] In related technologies, the computational complexity is too high under high-dimensional conditions. For 128TX and 4RX multi-input multi-output (MIMO) systems, 4096 beam search calculations are required, which leads to a large amount of hardware overhead. Summary of the Invention
[0004] This disclosure is made in view of the above-mentioned problems. This disclosure provides an information acquisition method, apparatus, device, medium, and product.
[0005] In a first aspect, embodiments of this disclosure provide an information acquisition method applied to a user equipment, comprising:
[0006] Receive downlink reference signals sent by the base station.
[0007] Channel estimation processing is performed on the downlink reference signal to obtain the channel estimate and the channel correlation matrix.
[0008] When it is determined that the channel state information feedback adopts the first type of transmission mode, a precoding matrix indication is generated based on the Toplitz property of the channel correlation matrix, so as to determine the first channel state information according to the precoding matrix indication.
[0009] When it is determined that the channel state information feedback adopts the second type of transmission mode, the second channel state information is generated based on the channel estimate and the channel correlation matrix; wherein, the second channel state information does not include the precoding matrix indication.
[0010] In one embodiment of the first aspect, generating a precoding matrix indication based on the Topulitz property of the channel correlation matrix includes: The channel correlation matrix is processed by diagonal mean to obtain a diagonal mean sequence.
[0011] Using the received power of the beam as a measure, a fast Fourier transform is performed on the diagonal mean sequence to determine the beam parameters of the beam group.
[0012] The precoding matrix indicator is determined based on the beam parameters.
[0013] In one embodiment of the first aspect, performing a Fast Fourier Transform on the diagonal mean sequence to determine the beam parameters of the beam group includes: Perform a Fast Fourier Transform on the diagonal mean sequence to obtain the amplitude spectrum.
[0014] The peak value of the amplitude spectrum is mapped to the optimal beam value in the first direction and the optimal beam value in the second direction of the beam group.
[0015] In one embodiment of the first aspect, the first type of transmission mode includes a closed-loop mode and a semi-open-loop mode, and the precoding matrix indication includes a first codebook and a second codebook; determining the precoding matrix indication based on beam parameters includes: Given that the channel state information feedback adopts a semi-open-loop mode, the first codebook is determined based on the beam parameters; wherein, the first codebook is used to describe the long-term broadband characteristics of the channel state information.
[0016] Given that the channel state information feedback adopts a closed-loop mode, the first codebook and the second codebook are determined based on the beam parameters; wherein, the second codebook is used to describe the short-term sub-band characteristics of the channel state information.
[0017] In one embodiment of the first aspect, the first codebook includes a beam direction indicator and an offset factor indicator. Determining the first codebook based on beam parameters includes: When the number of data streams transmitted in parallel between the base station and the user equipment is a target value, the beam direction indication is determined based on the beam parameters.
[0018] When the number of data streams transmitted in parallel between the base station and user equipment exceeds the target value, the beam direction indication and offset factor indication are determined based on the beam parameters.
[0019] In one embodiment of the first aspect, determining the offset factor indication based on beam parameters includes: The equivalent signal-to-noise ratio corresponding to the number of data streams is calculated based on beam parameters.
[0020] Using the equivalent signal-to-noise ratio as a metric, the beam direction indicator is fine-tuned by a specified step size through a linear search to obtain the processing result.
[0021] The offset factor indication is determined based on beam parameters and processing results.
[0022] In one embodiment of the first aspect, determining the second codebook based on beam parameters includes: The equivalent signal-to-noise ratio corresponding to each candidate combination method is calculated based on the beam parameters; wherein, the candidate combination method includes beam selection of the beam group corresponding to the first codebook and beam combining of the beam group.
[0023] The equivalent signal-to-noise ratio and modulation order are mapped to obtain the first mutual information.
[0024] Using the first mutual information as a measure, the candidate combination methods are traversed and searched to generate the second codebook based on the search results.
[0025] In one embodiment of the first aspect, the second type of transmission mode includes an open-loop mode, generating second channel state information based on channel estimates and a channel correlation matrix, including: Rank indication is determined based on the singular distribution of channel estimates.
[0026] The second mutual information of each channel state information reference signal is calculated based on the channel correlation matrix, and the channel quality indicator and channel state information reference signal resource indicator are determined based on the second mutual information.
[0027] The second channel state information is generated based on the rank indicator, channel quality indicator, and channel state information reference signal resource indicator.
[0028] In a second aspect, embodiments of this disclosure provide an information acquisition device, disposed in a user equipment, comprising: The signal receiving unit is used to receive downlink reference signals sent by the base station.
[0029] The signal processing unit is used to perform channel estimation processing on the downlink reference signal to obtain the channel estimate and the channel correlation matrix.
[0030] The first information acquisition unit is used to generate a precoding matrix indication based on the Toplitz characteristics of the channel correlation matrix when it is determined that the channel state information feedback adopts the first type of transmission mode, so as to determine the first channel state information according to the precoding matrix indication.
[0031] The second information acquisition unit is used to generate second channel state information based on the channel estimate and the channel correlation matrix when it is determined that the channel state information feedback adopts the second type of transmission mode; wherein the second channel state information does not include the precoding matrix indication.
[0032] In a third aspect, embodiments of this disclosure provide an electronic device, including: a processor, a memory, and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor communicates with the memory via the bus, and when the machine-readable instructions are executed by the processor, the steps in the above-described information acquisition method are performed.
[0033] In a fourth aspect, embodiments of this disclosure provide a computer-readable storage medium storing a computer program that, when executed by a processor, performs the steps of the information acquisition method described above.
[0034] In a fifth aspect, embodiments of this disclosure provide a computer program product stored in a storage medium, the program product being executed by at least one processor to implement the steps in the information acquisition method described above.
[0035] As will be described in detail below, information acquisition methods, apparatuses, devices, media, and products according to embodiments of this disclosure are disclosed. In embodiments of this disclosure, a downlink reference signal transmitted by a base station is received. Channel estimation processing is performed on the downlink reference signal to obtain a channel estimate and a channel correlation matrix. Then, if it is determined that the channel state information feedback adopts a first type of transmission mode, a precoding matrix indication is generated based on the Toplitz property of the channel correlation matrix, and first channel state information is determined based on the precoding matrix indication. If it is determined that the channel state information feedback adopts a second type of transmission mode, second channel state information is generated based on the channel estimate and the channel correlation matrix, and the second channel state information does not include the precoding matrix indication. Through the above processing method, after channel estimation of the downlink reference signal, two types of transmission modes are distinguished: the first type of transmission mode requiring a precoding matrix indication and the second type of transmission mode obtaining the signal without requiring a precoding matrix indication. This reduces feedback overhead and utilizes the Toplitz property of the channel correlation matrix to reduce computational overhead. Therefore, without relying on hardware upgrades, the accuracy of CSI acquisition is ensured, CSI acquisition efficiency is effectively improved, and the hardware cost of user equipment is reduced.
[0036] It should be understood that both the foregoing general description and the following detailed description are exemplary and intended to provide further illustration of the claimed technology. Attached Figure Description
[0037] The above and other objects, features, and advantages of this disclosure will become more apparent from the more detailed description of the embodiments thereof in conjunction with the accompanying drawings. The drawings are provided to further illustrate the embodiments of this disclosure and form part of the specification. They are used together with the embodiments of this disclosure to explain the disclosure and do not constitute a limitation thereof. In the drawings, the same reference numerals generally represent the same components or steps.
[0038] Figure 1 This is a flowchart of an information acquisition method according to an embodiment of the present disclosure.
[0039] Figure 2 This is an overall flowchart of an information acquisition process according to an embodiment of the present disclosure.
[0040] Figure 3 This is a schematic diagram of an information acquisition device according to an embodiment of the present disclosure.
[0041] Figure 4 This is a schematic diagram of an electronic device according to an embodiment of the present disclosure.
[0042] Figure 5 This is a schematic diagram of a computer program product according to an embodiment of the present disclosure. Detailed Implementation
[0043] To make the objectives, technical solutions, and advantages of this disclosure more apparent, exemplary embodiments according to this disclosure will now be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of this disclosure, and not all embodiments of this disclosure. It should be understood that this disclosure is not limited to the exemplary embodiments described herein.
[0044] Research has revealed that with the continuous evolution of communication systems, the number of base station antenna ports is constantly increasing, posing unprecedented challenges to the acquisition of Channel State Information (CSI). CSI feedback plays a core role in several key physical layer functions, including radio resource scheduling, beamforming, and link adaptation.
[0045] In related technologies, the computational complexity is too high under high-dimensional conditions. For 128TX and 4RX multi-input multi-output (MIMO) systems, 4096 beam search calculations are required, which leads to a large amount of hardware overhead.
[0046] To facilitate understanding of this embodiment, a method for obtaining information disclosed in this disclosure will first be described in detail. (See also...) Figure 1 The diagram shows a flowchart of an information acquisition method provided in this disclosure, applied to a user equipment. The method includes steps S101 to S104, wherein: Step S101: Receive the downlink reference signal sent by the base station.
[0047] In this embodiment of the disclosure, the base station sends a downlink reference signal to the user equipment, which is a downlink CSI reference signal, such as a cell-specific reference signal (CRS), a demodulation reference signal (DMRS), and a channel state information reference signal (CSI-RS).
[0048] The user equipment (UE) estimates the Channel State Information Feedback (CSI) based on the downlink reference signal. Then, the UE transmits the CSI via the uplink channel. The CSI includes the Channel State Information Reference Signal Resource Indicator (CRI), Rank Indicator (RI), Precoding Matrix Indicator (PMI), Channel Quality Indicator (CQI), and Layer Indicator (LI).
[0049] Finally, the base station configures precoding based on the CSF information and configures the modulation and coding scheme (MCS) information. After the configuration is completed, the base station sends downlink data to the user equipment.
[0050] Step S102: Perform channel estimation processing on the downlink reference signal to obtain the channel estimate and the channel correlation matrix.
[0051] In this embodiment of the disclosure, coarse channel estimation and parameter estimation are first performed on the downlink reference signal. The coarse channel estimation can be obtained by the least squares method and is denoted as... ,in, This refers to the number of antennas used by the user equipment to receive downlink reference signals, i.e., the number of receive antenna ports. This can be understood as azimuth and elevation angles. The first direction mentioned later, This is the second direction mentioned later.
[0052] Furthermore, the downlink reference signal received by the user equipment can be denoted as... ,and ,in, For downlink transmission channel, For precoding matrix indication, The signal sent from the base station to the user equipment. This is the noise vector received by the user equipment. This refers to the number of data streams transmitted in parallel between the base station and the user equipment, and is greater than or equal to one.
[0053] Correspondingly, the CSI reference signal actually received by the user equipment is The CSI reference signal actually transmitted by the base station is It can be seen that the coarse channel estimation is denoted as Regarding this, one can... To perform channel parameter estimation, in order to obtain parameter statistics, such as first- and second-order multipath, Doppler, and noise variance.
[0054] Based on this, and according to the obtained parameter statistics, After filtering, the result is obtained. , recorded as .in, For Hadamard product operations, The channel filtering matrix is constructed based on parameter statistics. Channel filtering methods can be any combination of methods such as Discrete Fourier Transform (DFT), time-domain filtering, and frequency-domain filtering.
[0055] Then, the noise estimate can be written as: And through the methods mentioned above and Perform covariance calculation, denoted as In this regard, it can be based on and Calculate the channel correlation matrix .
[0056] After this, noise estimation can be used to... Whitening is performed, and the whitened channel estimate is obtained after the process. , recorded as Finally, the channel correlation matrix can be obtained. .
[0057] Step S103: When it is determined that the channel state information feedback adopts the first type of transmission mode, a precoding matrix indication is generated based on the Toplitz characteristics of the channel correlation matrix, so as to determine the first channel state information according to the precoding matrix indication.
[0058] Step S104: If it is determined that the channel state information feedback adopts the second type of transmission mode, generate second channel state information based on the channel estimate and the channel correlation matrix; wherein, the second channel state information does not include the precoding matrix indication.
[0059] This disclosure allows for the configuration of two types of transmission models based on CSF. The first type of transmission mode includes closed-loop mode and semi-open-loop mode, and the second type of transmission mode includes open-loop mode.
[0060] Specifically, the CSF in open-loop mode does not require PMI feedback; for example, CSI reporting is configured as CRI-RI-CQI. The CSF in closed-loop mode requires complete PMI feedback; for example, CSI reporting is configured as CRI-RI-PMI-CQI or CRI-RI-LI-PMI-CQI. The CSF in semi-open-loop mode requires partial PMI feedback; for example, CSI reporting is configured as CRI-RI-i11 or CRI-RI-i11-CQI.
[0061] The first channel state information includes CRI-RI-PMI-CQI, CRI-RI-LI-PMI-CQI, CRI-RI-i11 and CRI-RI-i11-CQI, and the second channel state information includes CRI-RI-CQI.
[0062] As mentioned earlier, This is a precoding matrix indicator, which is divided into two levels, denoted as... .in, For the two-dimensional DFT beamgroup used to describe the long-term and broadband characteristics of CSI, i.e., the first codebook, The short-term and sub-band characteristics of CSI are described by selecting and combining the two-dimensional DFT beams corresponding to the first codebook, i.e., the second codebook. This is the subscript for the first direction of the beam group. This is the subscript for the second direction of the beam group. The index of the offset factor. and For beam direction indication, As an indicator of the offset factor, The subscript for beam selection or beam combining.
[0063] In this embodiment of the present disclosure, when it is determined that the channel state information feedback adopts a first type of transmission mode, a precoding matrix indication is generated based on the Toplitz characteristics of the channel correlation matrix, and the first channel state information is determined according to the precoding matrix indication. When it is determined that the channel state information feedback adopts a second type of transmission mode, a second channel state information is generated based on the channel estimate and the channel correlation matrix, and the second channel state information does not include the precoding matrix indication.
[0064] In the above implementation, after channel estimation of the downlink reference signal, two types of transmission modes are distinguished: the first type of transmission mode that requires precoding matrix indication and the second type of transmission mode that does not require precoding matrix indication. This reduces feedback overhead and utilizes the Toplitz property of the channel correlation matrix to reduce computational overhead. Thus, without relying on hardware upgrades, the accuracy of CSI acquisition is ensured, the efficiency of CSI acquisition is effectively improved, and the hardware cost of user equipment is reduced.
[0065] In an optional implementation, the above steps, which generate a precoding matrix indication based on the Toplitz properties of the channel correlation matrix, include: The channel correlation matrix is subjected to diagonal mean processing to obtain a diagonal mean sequence; Using the received power of the beam as a measure, a fast Fourier transform is performed on the diagonal mean sequence to determine the beam parameters of the beam group; The precoding matrix indication is determined based on the beam parameters.
[0066] For the first type of transmission mode, this disclosure can first perform diagonal mean processing on the channel correlation matrix.
[0067] Specifically, since both 4G and 5G implicit CSI feedback mechanisms use dual-polarized antenna and codebook configurations, the channel correlation matrix can be converted into a block matrix form: .
[0068] Due to codebook subscripts and Beam subscript and There is a fixed mapping relationship, which can be further denoted as: ,in, To use two-dimensional DFT beam The received power at that time, i.e., the measurement of POW; For beam In the first direction, the subscript For beam In the second direction, It is a two-dimensional DFT beam set.
[0069] This disclosure can utilize the Topplitz property of the channel correlation matrix to construct and calculate of The mean of the diagonals, i.e. ,in, for A column vector formed by the mean of the elements along the diagonal. Represents a square matrix The A vector formed by two diagonal elements, when =0 is the vector formed by the main diagonal elements. This indicates the calculation of the average value of a vector.
[0070] Based on this, in order to improve the resolution of FFT, this disclosure... Perform zero-padding to increase After processing the zero elements, we obtain a diagonal mean sequence: , for From element 0 to element 1 Each element.
[0071] In this embodiment of the disclosure, the channel correlation matrix can be converted into a block matrix, and the sub-matrices in the first direction and the sub-matrices in the second direction of the block matrix are added to obtain the target matrix. Then, the mean vector corresponding to each diagonal element in the target matrix is calculated, and finally, the mean vector corresponding to each diagonal element is padded with zeros to obtain the diagonal mean sequence.
[0072] After that, a Fast Fourier Transform is performed on the obtained diagonal mean sequence to determine the beam parameters of the beam group, and the precoding matrix indicator is determined based on the beam parameters.
[0073] In the above embodiments, by performing diagonal mean processing on the channel correlation matrix and then performing a fast Fourier transform on the diagonal mean sequence, the computational complexity can be effectively reduced by using the fast Fourier transform for fast search. This reduces the hardware overhead and power consumption on the user equipment side while ensuring CSI accuracy.
[0074] In an optional implementation, the above steps involve performing a Fast Fourier Transform on the diagonal mean sequence to determine the beam parameters of the beam group, including: Perform a Fast Fourier Transform on the diagonal mean sequence to obtain the amplitude spectrum; The peak value of the amplitude spectrum is mapped to the optimal beam value in the first direction and the optimal beam value in the second direction of the beam group.
[0075] Following on what was mentioned earlier, this disclosure concerns the diagonal mean sequence. Point Fast Fourier Transform is used to obtain the amplitude spectrum, and the peak index of the amplitude spectrum is determined. FFT stands for Fast Fourier Transform.
[0076] To address this, the peak index is mapped to obtain... ,in, The optimal beam value in the first direction of the beam group. The optimal beam value in the second direction of the beam group. To round down, This is a modulo operation.
[0077] In the above embodiments, by mapping the peak subscript of the FFT amplitude spectrum to the optimal beam value in the first direction and the optimal beam value in the second direction, a precise conversion from one-dimensional FFT results to two-dimensional beam selection is achieved, thereby improving the accuracy of the information acquisition process without adding additional hardware.
[0078] In an optional implementation, the first type of transmission mode described above includes closed-loop mode and semi-open-loop mode, and the precoding matrix indication includes a first codebook and a second codebook; determining the precoding matrix indication based on the beam parameters includes: When it is determined that the channel state information feedback adopts the semi-open-loop mode, the first codebook is determined based on the beam parameters; wherein, the first codebook is used to describe the long-term broadband characteristics of the channel state information; When it is determined that the channel state information feedback adopts the closed-loop mode, the first codebook and the second codebook are determined based on the beam parameters; wherein, the second codebook is used to describe the short-term sub-band characteristics of the channel state information.
[0079] In this embodiment of the disclosure, when the CSF adopts a semi-open loop, a first codebook is determined based on beam parameters. The first codebook includes a beam direction indicator and an offset factor indicator.
[0080] Specifically, in one optional implementation, the above steps for determining the first codebook based on the beam parameters include: When the number of data streams transmitted in parallel between the base station and the user equipment is a target value, the beam direction indication is determined based on the beam parameters. When the number of data streams transmitted in parallel between the base station and the user equipment is greater than the target value, the beam direction indication and the offset factor indication are determined based on the beam parameters.
[0081] In this embodiment of the disclosure, when the target value is 1, the beam parameters (i.e., ...) are used according to the mapping relationship of the protocol. and Determine the beam direction indicator (i.e.) and ); however, if the target value is greater than 1, it is necessary to further determine the offset factor indicator, i.e. .
[0082] In the above implementation, since single-layer transmission usually only requires one optimal beam direction, only the beam direction indicator needs to be determined. However, multi-layer transmission requires the addition of an offset factor indicator to ensure the orthogonality between different beam directions. This ensures the performance of multi-stream transmission while avoiding unnecessary computational overhead, achieving the best balance between performance and complexity.
[0083] In an optional implementation, the above steps for determining the offset factor indication based on the beam parameters include: The equivalent signal-to-noise ratio corresponding to the number of data streams is calculated based on the beam parameters; Using the equivalent signal-to-noise ratio as a measure, the beam direction indicator is fine-tuned by a specified step size through linear search to obtain the processing result; The offset factor indication is determined based on the beam parameters and the processing results.
[0084] In this embodiment of the disclosure, the signal-to-noise ratio (SNR) can be determined as a metric, and the beam direction indication can be fine-tuned through a linear search (i.e., and ) and determine the offset factor indication .
[0085] SNR can be defined as the signal-to-noise ratio based on linear minimum mean square error reception. For the first The equivalent signal-to-noise ratio of the layer data stream is the equivalent signal-to-noise ratio when the number of data streams transmitted in parallel between the base station and the user equipment is greater than the target value (i.e., 1).
[0086] In this regard, it can be made and They represent fine-tuning. and ,Right now .
[0087] Specifically, firstly, let And record the maximum SNR value The value of . When When the value is -1, Linear search range Record the maximum SNR value ;when When the value is 1, Linear search range Record the maximum SNR value The number of SNR calculations in this round of linear search is [number]. Second-rate.
[0088] Then, let And record the maximum SNR value The value of . When When the value is -1, Linear search range Record the maximum SNR value ;when When the value is 1, Linear search range Record the maximum SNR value The number of SNR calculations in this round of linear search is [number]. Second-rate.
[0089] Finally, let And record the maximum SNR value. The SNR was calculated 4 times in this round of linear search.
[0090] In this embodiment of the disclosure, for the semi-open-loop mode, the feedback of part of the PMI (i.e., ...) can be determined through the above-described linear search scheme. When the CSF adopts closed-loop mode, the first codebook and the second codebook are determined based on the beam parameters. Since the process of calculating the first codebook in closed-loop mode is the same as that in semi-open-loop mode, it will not be elaborated further here.
[0091] For the closed-loop mode, in one optional implementation, the above steps for determining the second codebook based on the beam parameters include: The equivalent signal-to-noise ratio corresponding to each candidate combination method is calculated based on the beam parameters; wherein, the candidate combination method includes beam selection of the beam group corresponding to the first codebook and beam combining of the beam group; The equivalent signal-to-noise ratio and modulation order are mapped to obtain the first mutual information; Using the first mutual information as a measure, the candidate combination methods are traversed and searched to generate the second codebook based on the search results.
[0092] Here, the candidate combination method is the two-dimensional DFT beam selection and merging process corresponding to the first codebook mentioned above.
[0093] In this embodiment, the equivalent signal-to-noise ratio (SNR) for each candidate combination is first calculated based on the beam parameters. Then, the first mutual information (MI) is calculated based on the equivalent SNR and the modulation order. Using MI as a measure, the combination is determined from the candidate combinations through a traversal search. Finally, the second codebook is generated.
[0094] MI can be calculated using the following formula: ,in, The equivalent mutual information is given when the number of data streams transmitted in parallel between the base station and the user equipment is q, and the modulation order is D. It is the mapping function from the equivalent signal-to-noise ratio to the equivalent mutual information when the modulation order is D.
[0095] In the above implementation, mutual information can reflect the maximum system throughput for optimization, and traversal search can accurately select the beam combination method, thereby achieving a reasonable allocation of computational complexity while ensuring performance.
[0096] In an optional implementation, the second type of transmission mode described above includes an open-loop mode, and the step of generating second channel state information based on the channel estimate and the channel correlation matrix includes: The rank indicator is determined based on the singular distribution of the channel estimate; The second mutual information of each channel state information reference signal is calculated based on the channel correlation matrix, and the channel quality indicator and channel state information reference signal resource indicator are determined based on the second mutual information. The second channel state information is generated based on the rank indicator, the channel quality indicator, and the channel state information reference signal resource indicator.
[0097] In this embodiment of the disclosure, for the open-loop mode, the user equipment can perform singular value decomposition on the channel estimate, determine the RI based on the singular distribution obtained after decomposition, calculate the mutual information of each CSI-RS resource through the channel correlation matrix, i.e., the second mutual information, and finally determine the CQI and CRI based on the obtained second mutual information. Finally, the information is combined to generate the second channel state information and transmitted back to the base station.
[0098] Finally, by combining the MI values calculated from the first and second transmission modes with the set thresholds, information such as CRI, RI, PMI, and CQI is determined.
[0099] For example, CRI can be determined by comparing the measured MI values of different CSI-RS resources; , , and Information can determine the final PMI; RI and CQI information can be determined by using MI values with different numbers of parallel transmissions and setting thresholds.
[0100] In the above embodiments, by processing the channel estimation value and the channel correlation matrix, the second channel state information corresponding to the open-loop mode can be efficiently acquired. Combined with the first channel state information corresponding to the semi-open-loop mode and the closed-loop mode, a closed loop of the information acquisition process can be formed, supporting the comprehensiveness of the information acquisition process.
[0101] The fast FFT search scheme disclosed herein can significantly reduce the search space of beam groups. Five different examples are given here. Compared with the brute-force search scheme, the maximum performance loss of fast FFT search is about 0.2dB.
[0102] Example 1: In this example, it is configured as follows: The TDLA30-5 channel has an SNR of 0dB, closed-loop feedback, and uses an 8-point FFT for fast FFT search. At a cumulative probability of 0.9: the peak performance of brute-force search and fast FFT search are 3.716dB and 3.716dB respectively, with no performance loss; the second-highest performance of brute-force search and fast FFT search are 3.310dB and 2.930dB respectively, with a loss of approximately 0.38dB. It should be noted that the peak performance represents a typical scenario, while the second-highest performance represents an extreme scenario.
[0103] Example 2: In this example, it is configured as follows: The TDLA30-180 channel has an SNR of 0dB, closed-loop feedback, and uses a 64-point FFT for fast FFT search. At a cumulative probability of 0.9: the peak values for brute-force search and fast FFT search are 6.836dB and 6.619dB, respectively, with a performance loss of approximately 0.22dB; the sub-peak values for brute-force search and fast FFT search are 6.313dB and 6.313dB, respectively, with no performance loss.
[0104] Example 3: In this example, it is configured as follows: The TDLA30-1400 channel has an SNR of 0dB, closed-loop feedback, and uses a 128-point FFT for fast FFT search. At a cumulative probability of 0.9: the peak values for brute-force search and fast FFT search are 9.856dB and 9.707dB, respectively, with a performance loss of approximately 0.15dB; the sub-peak values for brute-force search and fast FFT search are 9.307dB and 9.307dB, respectively, with no performance loss.
[0105] Example 4: In this example, it is configured as follows: The system uses TDLB100-400 channels with a 0dB SNR, closed-loop feedback, and a 256-point FFT for fast FFT search. At a cumulative probability of 0.9, the peak performance of brute-force search and fast FFT search are 12.890dB and 12.740dB respectively, with a performance loss of approximately 0.15dB. The second-highest performance of brute-force search and fast FFT search are 12.260dB and 12.260dB respectively, with no performance loss.
[0106] Example 5: In this example, it is configured as follows: The TDLC300-100 channel has an SNR of 0dB, closed-loop feedback, and uses a 1024-point FFT for fast FFT search. At a cumulative probability of 0.9: the peak values for brute-force search and fast FFT search are 18.910dB and 18.780dB, respectively, with a performance loss of approximately 0.13dB; the sub-peak values for brute-force search and fast FFT search are 18.230dB and 18.230dB, respectively, with no performance loss.
[0107] The following is combined Figure 2 The process of obtaining the above information is described below: S201: Receive downlink reference signal sent by base station.
[0108] S202: Perform channel estimation processing on the downlink reference signal to obtain the channel estimate and the channel correlation matrix.
[0109] S203: When it is determined that the channel state information feedback adopts a semi-open-loop mode, the first codebook in the precoding matrix indication is determined based on the beam parameters.
[0110] Here, the first codebook is used to describe the long-term broadband characteristics of channel state information.
[0111] S204: When it is determined that the channel state information feedback adopts a closed-loop mode, the first codebook and the second codebook in the precoding matrix indication are determined based on the beam parameters.
[0112] Here, the second codebook is used to describe the short-term subband characteristics of the channel state information.
[0113] S205: Determine the first channel state information based on the precoding matrix indication.
[0114] S206: When it is determined that the channel state information feedback adopts the open-loop mode, the second channel state information is generated based on the channel estimate and the channel correlation matrix.
[0115] As described above, this disclosure utilizes the Topplitz structure characteristics of the channel correlation matrix to propose a CSI acquisition method combining fast FFT search and linear search. This method supports CSI feedback for a large number of ports and significantly reduces UE-side hardware overhead while ensuring CSI acquisition accuracy. Advantages include: (1) Low complexity: It does not require a large amount of exhaustive matching of codebooks and high-dimensional matrix decomposition, which has significant advantages in large port scenarios and significantly reduces the hardware area and power consumption of UE.
[0116] (2) High robustness: Supports CSF estimation links with multiple modes, multiple measures and multiple parameters, and is less prone to matrix ill-conditioning in large port scenarios.
[0117] Reference Figure 3 The diagram shown is a schematic representation of an information acquisition device provided in an embodiment of this disclosure. The device includes: a signal receiving unit 30, a signal processing unit 31, a first information acquisition unit 32, and a second information acquisition unit 33; wherein: The signal receiving unit is used to receive downlink reference signals sent by the base station; The signal processing unit is used to perform channel estimation processing on the downlink reference signal to obtain channel estimation values and channel correlation matrices. The first information acquisition unit is used to generate a precoding matrix indication based on the Toplitz characteristics of the channel correlation matrix when it is determined that the channel state information feedback adopts the first type of transmission mode, so as to determine the first channel state information according to the precoding matrix indication. The second information acquisition unit is used to generate second channel state information based on the channel estimate and the channel correlation matrix when it is determined that the channel state information feedback adopts the second type of transmission mode; wherein the second channel state information does not include the precoding matrix indication.
[0118] In one possible implementation, the device is also used for: The channel correlation matrix is subjected to diagonal mean processing to obtain a diagonal mean sequence; Using the received power of the beam as a measure, a fast Fourier transform is performed on the diagonal mean sequence to determine the beam parameters of the beam group; The precoding matrix indication is determined based on the beam parameters.
[0119] In one possible implementation, the device is also used for: Perform a Fast Fourier Transform on the diagonal mean sequence to obtain the amplitude spectrum; The peak value of the amplitude spectrum is mapped to the optimal beam value in the first direction and the optimal beam value in the second direction of the beam group.
[0120] In one possible implementation, the device is also used for: When it is determined that the channel state information feedback adopts the semi-open-loop mode, the first codebook is determined based on the beam parameters; wherein, the first codebook is used to describe the long-term broadband characteristics of the channel state information; When it is determined that the channel state information feedback adopts the closed-loop mode, the first codebook and the second codebook are determined based on the beam parameters; wherein, the second codebook is used to describe the short-term sub-band characteristics of the channel state information.
[0121] In one possible implementation, the device is also used for: When the number of data streams transmitted in parallel between the base station and the user equipment is a target value, the beam direction indication is determined based on the beam parameters. When the number of data streams transmitted in parallel between the base station and the user equipment is greater than the target value, the beam direction indication and the offset factor indication are determined based on the beam parameters.
[0122] In one possible implementation, the device is also used for: The equivalent signal-to-noise ratio corresponding to the number of data streams is calculated based on the beam parameters; Using the equivalent signal-to-noise ratio as a measure, the beam direction indicator is fine-tuned by a specified step size through linear search to obtain the processing result; The offset factor indication is determined based on the beam parameters and the processing results.
[0123] In one possible implementation, the device is also used for: The equivalent signal-to-noise ratio corresponding to each candidate combination method is calculated based on the beam parameters; wherein, the candidate combination method includes beam selection of the beam group corresponding to the first codebook and beam combining of the beam group; The equivalent signal-to-noise ratio and modulation order are mapped to obtain the first mutual information; Using the first mutual information as a measure, the candidate combination methods are traversed and searched to generate the second codebook based on the search results.
[0124] In one possible implementation, the device is also used for: The rank indicator is determined based on the singular distribution of the channel estimate; The second mutual information of each channel state information reference signal is calculated based on the channel correlation matrix, and the channel quality indicator and channel state information reference signal resource indicator are determined based on the second mutual information. The second channel state information is generated based on the rank indicator, the channel quality indicator, and the channel state information reference signal resource indicator.
[0125] The processing flow of each module in the device and the interaction flow between each module can be referred to the relevant descriptions in the above method embodiments, and will not be detailed here.
[0126] Corresponding to Figure 1 In addition to the information acquisition method in this disclosure, this embodiment also provides an electronic device 40, such as... Figure 4 The diagram shown is a schematic representation of an electronic device 40 provided in an embodiment of this disclosure, including: The system includes a processor 41, a memory 42, and a bus 43. The memory 42 stores execution instructions and includes main memory 421 and external memory 422. The main memory 421, also called internal memory, temporarily stores the computational data in the processor 41, as well as data exchanged with external memory such as a hard disk. The processor 41 exchanges data with the external memory 422 through the main memory 421. When the electronic device 40 is running, the processor 41 communicates with the memory 42 through the bus 43, causing the processor 41 to execute the following instructions: Receive downlink reference signals sent by the base station; The downlink reference signal is subjected to channel estimation processing to obtain channel estimation values and channel correlation matrix; When it is determined that the channel state information feedback adopts the first type of transmission mode, a precoding matrix indication is generated based on the Toplitz characteristics of the channel correlation matrix, so as to determine the first channel state information according to the precoding matrix indication; When it is determined that the channel state information feedback adopts the second type of transmission mode, second channel state information is generated based on the channel estimate and the channel correlation matrix; wherein, the second channel state information does not include the precoding matrix indication.
[0127] This disclosure also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, performs the steps of the information acquisition method described in the above-described method embodiments. The storage medium may be a volatile or non-volatile computer-readable storage medium.
[0128] This disclosure also provides a computer program product 50, such as... Figure 5 The diagram shown is a structural schematic of a computer program product 50 provided in an embodiment of this disclosure. The computer program product 50 carries a computer program 51. The program included in the computer program 51 can be used to execute the steps of the information acquisition method described in the above method embodiments. For details, please refer to the above method embodiments, which will not be repeated here.
[0129] The information acquisition method, apparatus, device, medium, and product according to embodiments of the present disclosure have been described above with reference to the accompanying drawings. In these embodiments, a downlink reference signal transmitted by a base station is received. Channel estimation processing is performed on the downlink reference signal to obtain a channel estimate and a channel correlation matrix. Then, if it is determined that the channel state information feedback adopts a first type of transmission mode, a precoding matrix indication is generated based on the Toplitz property of the channel correlation matrix, and first channel state information is determined based on the precoding matrix indication. If it is determined that the channel state information feedback adopts a second type of transmission mode, second channel state information is generated based on the channel estimate and the channel correlation matrix, and the second channel state information does not include the precoding matrix indication. Through the above processing method, after channel estimation of the downlink reference signal, two types of transmission modes are distinguished: the first type of transmission mode requiring a precoding matrix indication and the second type of transmission mode obtaining the signal without requiring a precoding matrix indication. This reduces feedback overhead and utilizes the Toplitz property of the channel correlation matrix to reduce computational overhead. Therefore, without relying on hardware upgrades, the accuracy of CSI acquisition is ensured, CSI acquisition efficiency is effectively improved, and the hardware cost of user equipment is reduced.
[0130] The basic principles of this disclosure have been described above with reference to specific embodiments. However, it should be noted that the advantages, benefits, and effects mentioned in this disclosure are merely examples and not limitations, and should not be considered as essential features of each embodiment of this disclosure. Furthermore, the specific details disclosed above are for illustrative and facilitative purposes only, and are not limitations. These details do not limit the scope of this disclosure to the necessity of employing the aforementioned specific details for implementation.
[0131] The block diagrams of devices, apparatuses, devices, and systems disclosed herein are merely illustrative examples and are not intended to require or imply that they must be connected, arranged, or configured in the manner shown in the block diagrams. As those skilled in the art will recognize, these devices, apparatuses, devices, and systems can be connected, arranged, and configured in any manner. Words such as “comprising,” “including,” “having,” etc., are open-ended terms meaning “including but not limited to,” and are used interchangeably with them. The terms “or” and “and” as used herein refer to the terms “and / or,” and are used interchangeably with them unless the context clearly indicates otherwise. The term “such as” as used herein refers to the phrase “such as but not limited to,” and is used interchangeably with it.
[0132] Additionally, as used herein, the "or" used in a list of items beginning with "at least one" indicates a separate list, such that a list of, for example, "at least one of A, B, or C" means A or B or C, or AB or AC or BC, or ABC (i.e., A and B and C). Furthermore, the word "exemplary" does not imply that the described example is preferred or better than other examples.
[0133] It should also be noted that in the systems and methods of this disclosure, the components or steps can be decomposed and / or recombined. These decompositions and / or recombinations should be considered as equivalent solutions to this disclosure.
[0134] Various changes, substitutions, and modifications can be made to the technology described herein without departing from the teachings defined by the appended claims. Furthermore, the scope of the claims of this disclosure is not limited to the specific aspects of the processes, machines, manufactures, events, means, methods, and actions described above. Currently existing or later-developed processes, machines, manufactures, events, means, methods, or actions that perform substantially the same function or achieve substantially the same result as the corresponding aspects described herein can be utilized. Therefore, the appended claims include such processes, machines, manufactures, events, means, methods, or actions within their scope.
[0135] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use this disclosure. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other aspects without departing from the scope of this disclosure. Therefore, this disclosure is not intended to be limited to the aspects shown herein, but rather to be carried out within the widest scope consistent with the principles and novel features disclosed herein.
[0136] The above description has been given for purposes of illustration and description. Furthermore, this description is not intended to limit the embodiments of this disclosure to the forms disclosed herein. Although numerous exemplary aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, alterations, additions, and sub-combinations therein.
Claims
1. An information acquisition method characterized by comprising: Applied to user equipment, including: Receive downlink reference signals sent by the base station; The downlink reference signal is subjected to channel estimation processing to obtain channel estimation values and channel correlation matrix; When it is determined that the channel state information feedback adopts the first type of transmission mode, a precoding matrix indication is generated based on the Toplitz characteristics of the channel correlation matrix, so as to determine the first channel state information according to the precoding matrix indication; When it is determined that the channel state information feedback adopts the second type of transmission mode, second channel state information is generated based on the channel estimate and the channel correlation matrix; wherein, the second channel state information does not include the precoding matrix indication.
2. The method of claim 1, wherein, The generation of the precoding matrix indication based on the Topulitz property of the channel correlation matrix includes: The channel correlation matrix is subjected to diagonal mean processing to obtain a diagonal mean sequence; Using the received power of the beam as a measure, a fast Fourier transform is performed on the diagonal mean sequence to determine the beam parameters of the beam group; The precoding matrix indication is determined based on the beam parameters.
3. The method of claim 2, wherein, The step of performing a Fast Fourier Transform on the diagonal mean sequence to determine the beam parameters of the beam group includes: Perform a Fast Fourier Transform on the diagonal mean sequence to obtain the amplitude spectrum; The peak value of the amplitude spectrum is mapped to the optimal beam value in the first direction and the optimal beam value in the second direction of the beam group.
4. The method of claim 2, wherein, The first type of transmission mode includes closed-loop mode and semi-open-loop mode, and the precoding matrix indication includes a first codebook and a second codebook; determining the precoding matrix indication based on the beam parameters includes: When it is determined that the channel state information feedback adopts the semi-open-loop mode, the first codebook is determined based on the beam parameters; wherein, the first codebook is used to describe the long-term broadband characteristics of the channel state information; When it is determined that the channel state information feedback adopts the closed-loop mode, the first codebook and the second codebook are determined based on the beam parameters; wherein, the second codebook is used to describe the short-term sub-band characteristics of the channel state information.
5. The method of claim 4, wherein, The first codebook includes a beam direction indicator and an offset factor indicator. Determining the first codebook based on the beam parameters includes: When the number of data streams transmitted in parallel between the base station and the user equipment is a target value, the beam direction indication is determined based on the beam parameters. When the number of data streams transmitted in parallel between the base station and the user equipment is greater than the target value, the beam direction indication and the offset factor indication are determined based on the beam parameters.
6. The method of claim 5, wherein, Determining the offset factor indication based on the beam parameters includes: The equivalent signal-to-noise ratio corresponding to the number of data streams is calculated based on the beam parameters; Using the equivalent signal-to-noise ratio as a measure, the beam direction indicator is fine-tuned by a specified step size through linear search to obtain the processing result; The offset factor indication is determined based on the beam parameters and the processing results.
7. The method of claim 4, wherein, Determining the second codebook based on the beam parameters includes: The equivalent signal-to-noise ratio corresponding to each candidate combination method is calculated based on the beam parameters; wherein, the candidate combination method includes beam selection of the beam group corresponding to the first codebook and beam combining of the beam group; The equivalent signal-to-noise ratio and modulation order are mapped to obtain the first mutual information; Using the first mutual information as a measure, the candidate combination methods are traversed and searched to generate the second codebook based on the search results.
8. The method of claim 1, wherein, The second type of transmission mode includes open-loop mode, and the generation of second channel state information based on the channel estimate and the channel correlation matrix includes: The rank indicator is determined based on the singular distribution of the channel estimate; The second mutual information of each channel state information reference signal is calculated based on the channel correlation matrix, and the channel quality indicator and channel state information reference signal resource indicator are determined based on the second mutual information. The second channel state information is generated based on the rank indicator, the channel quality indicator, and the channel state information reference signal resource indicator.
9. An information acquisition apparatus characterized by comprising: Configured on user equipment, including: The signal receiving unit is used to receive downlink reference signals sent by the base station; The signal processing unit is used to perform channel estimation processing on the downlink reference signal to obtain channel estimation values and channel correlation matrices. The first information acquisition unit is used to generate a precoding matrix indication based on the Toplitz characteristics of the channel correlation matrix when it is determined that the channel state information feedback adopts the first type of transmission mode, so as to determine the first channel state information according to the precoding matrix indication. The second information acquisition unit is used to generate second channel state information based on the channel estimate and the channel correlation matrix when it is determined that the channel state information feedback adopts the second type of transmission mode; wherein the second channel state information does not include the precoding matrix indication.
10. A computer program product, characterised in that, The computer program product is stored in a storage medium, and the program product is executed by at least one processor to implement the information acquisition method as described in any one of claims 1 to 8.