CN113872651B - Method, device, base station and storage medium for acquiring precoding matrix - Google Patents
Method, device, base station and storage medium for acquiring precoding matrix Download PDFInfo
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- CN113872651B CN113872651B CN202111186401.7A CN202111186401A CN113872651B CN 113872651 B CN113872651 B CN 113872651B CN 202111186401 A CN202111186401 A CN 202111186401A CN 113872651 B CN113872651 B CN 113872651B
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Abstract
The present disclosure relates to a method, an apparatus, a base station and a storage medium for acquiring a precoding matrix, where the method is applied to the base station and includes: acquiring a sounding reference signal according to a preset SRS scheduling period; determining a channel matrix and a signal-to-noise ratio corresponding to each antenna according to the sounding reference signal; performing SVD on the channel matrix to obtain a precoding matrix and a characteristic matrix; calculating to obtain an average signal-to-noise ratio according to the signal-to-noise ratio corresponding to each antenna, and calculating an equivalent signal-to-noise ratio of each layer of data corresponding to the precoding matrix according to the average signal-to-noise ratio and the characteristic matrix; and determining a target precoding matrix according to the equivalent signal-to-noise ratio of each layer of data. By adopting the technical scheme, the interlayer interference of the channel can be effectively eliminated, and the data transmission efficiency is improved while the requirement on the performance of the channel is effectively ensured.
Description
Technical Field
The present disclosure relates to the field of 5G communication technologies, and more particularly, to a method for acquiring a downlink MU-MIMO (Multi-User Multiple-Input Multiple-Output) precoding by using an SRS (Sounding Reference Signal) space selection technology, and in particular, to a method, an apparatus, a base station, and a storage medium for acquiring a precoding matrix.
Background
The SRS day selection technology can improve 5G communication experience, and at present, more and more terminal devices support the SRS day selection technology. After the SRS antenna selection technology is carried, terminal equipment such as a mobile phone and the like can report channel information on a plurality of antennas in a rotating manner, so that the information acquired by the base station is more comprehensive, and more accurate data transmission can be performed.
In the related art, there is an SRS antenna selection technology implemented by using an RI reporting method, but the reporting method is complex, which seriously impairs the overall high-speed performance of the system, and especially when the load is large, the method not only causes a large delay, but also reduces the system reliability due to the existence of inter-layer interference, and cannot meet the performance requirement of the communication device.
Disclosure of Invention
In order to solve the above technical problem or at least partially solve the above technical problem, the present disclosure provides a method, an apparatus, a base station, and a storage medium for acquiring a precoding matrix, which can eliminate inter-layer interference while increasing a rate, and ensure reliability of a system.
In a first aspect, the present disclosure provides a method for acquiring a precoding matrix, which is applied to a base station, and the method includes:
acquiring a sounding reference signal according to a preset SRS scheduling period;
determining a channel matrix and a signal-to-noise ratio corresponding to each antenna according to the sounding reference signal;
carrying out SVD on the channel matrix to obtain a precoding matrix and a characteristic matrix;
calculating to obtain an average signal-to-noise ratio according to the signal-to-noise ratio corresponding to each antenna, and calculating an equivalent signal-to-noise ratio of each layer of data corresponding to the precoding matrix according to the average signal-to-noise ratio and the characteristic matrix;
and determining a target precoding matrix according to the equivalent signal-to-noise ratio of each layer of data.
In a second aspect, the present disclosure provides an apparatus for acquiring a precoding matrix, which is applied to a base station, and the apparatus includes:
an obtaining module, configured to obtain a sounding reference signal according to a preset SRS scheduling period;
a first determining module, configured to determine a channel matrix and a signal-to-noise ratio corresponding to each antenna according to the sounding reference signal;
the decomposition module is used for carrying out SVD on the channel matrix to obtain a precoding matrix and a characteristic matrix;
the calculation module is used for calculating to obtain an average signal-to-noise ratio according to the signal-to-noise ratio corresponding to each antenna, and calculating the equivalent signal-to-noise ratio of each layer of data corresponding to the precoding matrix according to the average signal-to-noise ratio and the characteristic matrix;
and the second determining module is used for determining a target precoding matrix according to the equivalent signal-to-noise ratio of each layer of data.
In a third aspect, the present disclosure provides a base station, including: a processor; and
a memory storing a computer program for executing a computer program,
wherein the computer program comprises instructions which, when executed by the processor, cause the processor to carry out the method of acquiring a precoding matrix as defined in the first aspect.
In a fourth aspect, the present disclosure provides a computer-readable storage medium having stored therein computer-executable instructions, which when executed by a processor, implement the method for acquiring a precoding matrix according to the first aspect.
Compared with the prior art, the technical scheme provided by the embodiment of the disclosure has the following advantages:
the method comprises the steps of obtaining a sounding reference signal according to a preset SRS dispatching period, determining a channel matrix and a signal-to-noise ratio corresponding to each antenna according to the sounding reference signal, then carrying out SVD decomposition on the channel matrix to obtain a precoding matrix and a characteristic matrix, calculating an average signal-to-noise ratio according to the signal-to-noise ratio corresponding to each antenna to obtain an average signal-to-noise ratio, calculating an equivalent signal-to-noise ratio of each layer of data corresponding to the precoding matrix according to the average signal-to-noise ratio and the characteristic matrix, and further determining a target precoding matrix according to the equivalent signal-to-noise ratio of each layer of data. By adopting the technical scheme, the precoding matrix is obtained through SVD decomposition, interlayer interference of a channel can be effectively eliminated, on the basis, layer scheduling is carried out according to the equivalent signal-to-noise ratio of each layer, and the target precoding matrix after layer scheduling is determined.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
In order to more clearly illustrate the embodiments or technical solutions in the prior art of the present disclosure, the drawings used in the description of the embodiments or prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a flowchart illustrating a method for acquiring a precoding matrix according to an embodiment of the present disclosure;
fig. 2 is a diagram illustrating an example of SRS port selection transmission mode according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an apparatus for acquiring a precoding matrix according to an embodiment of the present disclosure.
Detailed Description
In order that the above objects, features and advantages of the present disclosure may be more clearly understood, aspects of the present disclosure will be further described below. It should be noted that the embodiments and features of the embodiments of the present disclosure may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present disclosure, but the present disclosure may be practiced otherwise than as described herein; it is to be understood that the embodiments disclosed in the specification are only a few embodiments of the present disclosure, and not all embodiments.
In the communication field, a channel is better than a highway, and if the highway is used efficiently, terminal equipment such as a mobile phone needs to inform a base station of the road condition of each channel, so that the resources of the base station are more accurately distributed to each terminal equipment. Taking a terminal device as a mobile phone as an example, at present, there are two different modes for feeding back channel information of the mobile phone, which are PMI (Precoding Matrix Indicator) and SRS antenna selection (antenna selection).
In the PMI mode, the mobile phone estimates channel information and resource requirements through a series of algorithms and reports the channel information and the resource requirements to the base station, and the base station analyzes a data result sent by the mobile phone through a preset mechanism and directly transmits data. Therefore, the PMI mode is equivalent to the situation that the mobile phone evaluates the road condition of the expressway and reports the road condition to the base station.
The SRS day-selection mode provides real-time "road conditions" for the base station. At present, a 5G mobile phone generally has natural advantages of receiving and transmitting by multiple antennas such as 1T4R and 2T4R, and can make full use of the 4 antennas of the 5G mobile phone to report channel information in turn, so that the information acquired by a base station is more comprehensive, and more accurate data transmission is performed, which is "SRS antenna selection". After the SRS antenna selection technology is carried, the mobile phone can report channel information on a plurality of antennas in a rotating manner, so that the information acquired by the base station is more comprehensive, and more accurate data transmission is carried out. And moreover, the reciprocity of the uplink and the downlink is utilized to improve the downlink performance and the downlink speed, so that stronger spelling capacity and better user experience are obtained. Therefore, the SRS antenna selection mode is equivalent to that a scout is respectively sent by the mobile phone to each antenna to report accurate channel information to the base station, so that the downlink data throughput capacity is improved. Moreover, the larger the number of antennas, the more accurate the channel estimation of the base station will be. In other words, even if the SRS antenna is selected, the transmission capability is stronger as the number of antennas is larger.
The present disclosure provides a method for acquiring a downlink precoding matrix based on the advantage of the SRS space selection technology, and specifically, the acquired SRS signals at different times are processed to acquire the downlink precoding matrix and a feature matrix, and based on this, it is only necessary to ensure that a layer with a lower corresponding feature value satisfies a demodulation threshold of a single antenna AWGN (Additive White Gaussian Noise) channel. Specifically, when the SNR (Signal-to-noise ratio) of the corresponding layer is smaller than the single-layer SNR demodulation threshold, the layer reduction processing is performed, otherwise, the layer reduction processing is not required. Therefore, the data transmission efficiency can be improved while the requirement of channel performance is effectively guaranteed. Compared with the traditional complex modes such as RI reporting and the like, the method provided by the disclosure is simple and easy to implement.
Fig. 1 is a flowchart illustrating a method for acquiring a precoding matrix according to an embodiment of the present disclosure, where the method for acquiring a precoding matrix is applied to a base station and can be executed by an apparatus for acquiring a precoding matrix according to an embodiment of the present disclosure, and the apparatus for acquiring a precoding matrix can be implemented by software and/or hardware and can be integrated on the base station according to an embodiment of the present disclosure.
As shown in fig. 1, the method for acquiring a precoding matrix may include the following steps:
The SRS scheduling period may be preset, and the SRS scheduling period is used to indicate the switching time of the transmitting antenna when the terminal device reports the SRS signal to the base station.
Currently, a communication protocol supports several modes such as 1T2R, 2T4R, 1T2R/2T4R, 1T1R, 2T2R, and 4T4R, and a terminal device periodically transmits an SRS signal to a base station according to an SRS scheduling period according to an employed SRS antenna selection mode.
For example, if the terminal device adopts a 2T4R antenna selection mode, and the preset SRS scheduling period is 10ms (millisecond), the terminal device switches the transmitting antennas every 10ms with 2 antennas as a group, and sends SRS signals to the base station through each group of transmitting antennas in turn. Thus, the base station can acquire the SRS signal in each SRS scheduling period.
Further, in order to distinguish which antenna the SRS signal received each time is transmitted from, the base station may set different receiving schemes, including antenna switching time, the number of transmission ports of the terminal device side transmitting antenna, and corresponding port numbers, for different configured transmitting schemes according to the upper layer scheduling information. When the base station acquires the SRS signal, the base station may acquire the corresponding SRS signal at the corresponding SRS signal transmission position according to the antenna switching time, and record the port number corresponding to the terminal device side transmission antenna.
And 102, determining a channel matrix and a signal-to-noise ratio corresponding to each antenna according to the sounding reference signal.
In the embodiment of the present disclosure, according to the acquired SRS signals, channel estimation may be performed on the SRS signals acquired each time to determine a channel matrix and a signal-to-noise ratio corresponding to each antenna.
For example, in the embodiment of the present disclosure, the number of SRS signals that need to be received may be determined according to an SRS mode adopted by a terminal device, and after receiving a preset number of SRS signals, channel estimation may be performed according to the SRS signals, so as to determine a channel matrix and a signal-to-noise ratio corresponding to each antenna. The preset number may be determined according to the adopted SRS mode, for example, if the SRS antenna selection mode is 2T4R, the preset number is 2, and if the SRS antenna selection mode is 1T4R, the preset number is 4. Optionally, the preset number may be obtained in the SRS antenna selection mode adopted by the terminal device when the terminal device registers, and the preset number is determined and recorded.
It should be noted that, performing channel estimation on the SRS signal to obtain the channel matrix and the signal-to-noise ratio of each antenna may be implemented by using a conventional SRS signal channel estimation method, which is not described in detail in this disclosure.
And 103, performing SVD on the channel matrix to obtain a precoding matrix and a characteristic matrix.
In the embodiment of the present disclosure, for the determined channel matrix, an SVD (Singular Value Decomposition) algorithm may be used to perform Decomposition to obtain a precoding matrix and a feature matrix.
The sizes of the precoding matrix and the characteristic matrix are related to the SRS antenna selection mode adopted by the terminal equipment. For example, if the SRS antenna pattern is 1T2R, the size of the precoding matrix is 2 × 2, and the feature matrix is a vector with a size of 1 × 2. For another example, if the SRS antenna pattern is 2T4R, the size of the precoding matrix is 4 × 4, and the feature matrix is a vector with a size of 1 × 4.
It should be noted that SVD decomposition is a common and very convenient matrix decomposition tool, and this disclosure will not be described in detail herein.
In the embodiment of the disclosure, the SVD is used for decomposing the channel matrix, so that the interlayer interference can be effectively eliminated, and the transmission of the maximum data stream in the downlink is satisfied.
And 104, calculating to obtain an average signal-to-noise ratio according to the signal-to-noise ratio corresponding to each antenna, and calculating an equivalent signal-to-noise ratio of each layer of data corresponding to the precoding matrix according to the average signal-to-noise ratio and the feature matrix.
In the embodiment of the disclosure, an average signal-to-noise ratio can be calculated according to the signal-to-noise ratio corresponding to each antenna, and further, an equivalent signal-to-noise ratio of each layer of data corresponding to the precoding matrix can be calculated according to the average signal-to-noise ratio and the characteristic matrix.
In an alternative embodiment, the equivalent snr of each layer of data can be calculated by the following formula (1):
SNR'(i)＝SNR_AVG-(10log10(SNR(i))-10log10(S 1,i )) (1)
wherein i represents the i-th layer of the precoding matrix, and SNR ' (i) represents the equivalent signal-to-noise ratio of the i-th layer of data, for example, if the size of the precoding matrix is 4 × 4, the value of i is 1 to 4, and the equivalent signal-to-noise ratio SNR ' (1) to SNR ' (4) of each layer of data is calculated by the above formula (1). SNR _ AVG represents the average signal-to-noise ratio calculated according to the signal-to-noise ratio corresponding to each antenna, SNR (i) represents the signal-to-noise ratio corresponding to the ith antenna, S 1,i Representing the eigenvalue of the 1 st row and i column in the eigenvalue matrix.
And 105, determining a target precoding matrix according to the equivalent signal-to-noise ratio of each layer of data.
In the embodiment of the present disclosure, after obtaining the equivalent signal-to-noise ratio corresponding to each layer of data, a corresponding performance table of the AWGN channel may be searched, whether the corresponding layer of signal satisfies the corresponding performance is determined, and whether to perform scheduling of the layer of data and a scheduling manner, such as layer reduction processing, service reduction processing, etc., are determined according to the determination result.
It can be understood that each layer of data in the precoding matrix corresponds to one antenna, that is, the number of antennas is consistent with the number of layers, and the layer reduction processing is performed, so that fewer antennas are used for downlink data transmission. If layer reduction processing is required, the number of layers of data in the target precoding matrix is reduced compared with the original precoding matrix.
According to the method for acquiring the precoding matrix, the sounding reference signal is acquired according to the preset SRS scheduling period, the channel matrix and the signal-to-noise ratio corresponding to each antenna are determined according to the sounding reference signal, then, SVD decomposition is carried out on the channel matrix to acquire the precoding matrix and the characteristic matrix, the average signal-to-noise ratio is calculated according to the signal-to-noise ratio corresponding to each antenna, the equivalent signal-to-noise ratio of each layer of data corresponding to the precoding matrix is calculated according to the average signal-to-noise ratio and the characteristic matrix, and the target precoding matrix is determined according to the equivalent signal-to-noise ratio of each layer of data. By adopting the technical scheme, the precoding matrix is obtained through SVD decomposition, so that the interlayer interference of a channel can be effectively eliminated, on the basis, layer scheduling is carried out according to the equivalent signal-to-noise ratio of each layer, and the target precoding matrix after layer scheduling is determined.
In an alternative embodiment, determining the channel matrix according to the sounding reference signal may include: determining a first channel matrix of M x N according to a sounding reference signal acquired in a current SRS scheduling period, wherein the values of M and N are determined according to an SRS day selection mode; storing the first channel matrix into a storage space corresponding to an antenna port number for transmitting the sounding reference signal; after the storage space is full, combining each first channel matrix in the storage space to obtain the channel matrix.
In the embodiment of the present disclosure, the base station sets a storage space with a preset size in advance according to the downlink transmitting antenna, for storing the corresponding channel matrix, where the size of the storage space is related to the number of transmitting antennas supported by the terminal device, for example, if the number of transmitting antennas supported by the terminal device is 4, the size of the storage space is 4 × 4. The base station receives an SRS signal sent by the terminal device in each SRS scheduling period, and performs channel estimation on the SRS information currently received to obtain a first channel matrix with a channel coefficient of M × N, where values of M and N are related to an SRS antenna mode adopted by the terminal device, for example, the SRS antenna mode adopted by the terminal device is 2T4R, and then the first channel matrix with the channel coefficient of 2 × 4 can be estimated according to the SRS signal obtained in each period. And the base station stores the first channel matrix estimated each time into a corresponding storage space, judges whether the storage space is full after the first channel matrix is stored into the storage space each time, continues to receive the first channel matrix of the next SRS scheduling period if the storage space is not full, and merges each first channel matrix in the storage space to obtain the channel matrix if the storage space is full.
For example, assuming that a 5G system operates in a 2.6G frequency band, the number of transmit antennas and the number of receive antennas supported by the base station and the terminal device are 4, respectively. The SRS adopts a 2T4R antenna selection mode, the SRS scheduling period is 10ms, the SRS transmits data of two antenna ports on two symbols each time in one scheduling period, and the SRS port selection transmission mode is as shown in fig. 2. As can be seen from fig. 2, in the 2T4R antenna selection mode, a physical antenna 1 and a physical antenna 3 are grouped to transmit data through one logical antenna port, and a physical antenna 2 and a physical antenna 4 are grouped to transmit data through the other logical antenna port. The base station acquires corresponding information at a corresponding SRS sending position every 10ms, records a sending port number corresponding to the terminal equipment, performs channel estimation on a received SRS signal, estimates a first channel matrix with a channel coefficient of 2 x 4 in every 10ms, stores the estimated first channel matrix into a 4 x 4 storage space, and when the storage space is full of two first channel matrices, merges the two first channel matrices in the storage space to obtain a 4 x 4 channel matrix.
In an optional implementation manner, the determining a target precoding matrix according to the equivalent signal-to-noise ratio of each layer of data may include: inquiring a corresponding relation table of the signal-to-noise ratio and the MCS according to the signal-to-noise ratio corresponding to each antenna, and determining MCS data corresponding to each antenna; inquiring a data performance table of an additive white Gaussian noise channel according to MCS data corresponding to each antenna to obtain a Gaussian signal to noise ratio corresponding to each antenna; performing layer reduction processing under the condition that the equivalent signal-to-noise ratio of each layer of data is smaller than the Gaussian signal-to-noise ratio of the corresponding antenna; and determining a target precoding matrix based on the layer reduction processing result.
In the embodiment of the present disclosure, a corresponding relationship table between the SNR and the MCS may be searched according to the SNR corresponding to each antenna to determine the MCS corresponding to the SNR of each antenna. Then, according to the MCS data, a data performance table specified by a protocol may be queried to obtain a gaussian signal-to-noise ratio (denoted as SNR _ AWGN) corresponding to the MCS data of each antenna, and further, an equivalent signal-to-noise ratio corresponding to each antenna is compared with the gaussian signal-to-noise ratio corresponding to the antenna, if the equivalent signal-to-noise ratio of the antenna is greater than or equal to the gaussian signal-to-noise ratio, the data of a layer corresponding to the antenna is not scheduled, and layer reduction processing is not required, and a precoding matrix determined by SVD decomposition is determined as a target precoding matrix; and if the equivalent signal-to-noise ratio of the antenna is smaller than the Gaussian signal-to-noise ratio, not scheduling the data of the layer corresponding to the antenna, but performing layer reduction processing, and then determining a target precoding matrix based on the layer reduction processing result.
For example, assuming that the precoding matrix determined by using SVD decomposition is a 4 × 4 matrix, and the equivalent signal-to-noise ratio corresponding to the fourth layer of data in the precoding matrix is smaller than the gaussian signal-to-noise ratio of the antenna corresponding to the fourth layer of data, a layer reduction process is performed, the first three layers of data in the precoding matrix are retained, and the target precoding matrix is constructed based on the retained first three layers of data.
The method for acquiring the precoding matrix of the embodiment of the disclosure determines whether to schedule the layer data by comparing the equivalent signal-to-noise ratio and the Gaussian signal-to-noise ratio of each layer data, and performs layer reduction processing when the equivalent signal-to-noise ratio is smaller than the Gaussian signal-to-noise ratio, so as to achieve the purpose of improving the data transmission rate.
In view that the performance after the layer reduction processing is not necessarily better than the performance before the layer reduction processing, in an optional implementation, the layer reduction processing is performed under the condition that the equivalent signal-to-noise ratio of each layer of data is smaller than the gaussian signal-to-noise ratio of the corresponding antenna, and includes: determining the minimum equivalent signal-to-noise ratio from the equivalent signal-to-noise ratios of each layer of data; inquiring a corresponding relation table of the signal to noise ratio and the MCS according to the minimum equivalent signal to noise ratio, and determining first MCS data corresponding to the minimum equivalent signal to noise ratio; acquiring second MCS data of n layers of data, wherein n is a positive integer smaller than the number of layers of the precoding matrix; and performing layer reduction processing under the condition that the first MCS data is smaller than the second MCS data.
Further, in an optional embodiment, in case that the first MCS data is greater than or equal to the second MCS data, performing scheduling based on the first MCS data; determining the precoding matrix as the target precoding matrix.
Exemplarily, assuming that the precoding matrix is a 4 × 4 matrix, the first MCS data corresponds to a four-layer data rate, assuming that layer reduction processing is performed on the fourth layer data in advance, retaining the first three layers of data of the precoding matrix, that is, n is 3, the second MCS data corresponds to the first three layers of data rates, comparing the first MCS data with the second MCS data, and if the first MCS data is smaller than the second MCS data, indicating that the performance after the layer reduction processing is better, and performing the layer reduction processing; if the first MCS data is larger than or equal to the second MCS data, the layer reduction processing is indicated to not bring better performance, the layer reduction processing is not performed, the MCS reduction processing is selected to be performed, scheduling is performed based on the first MCS data, and the precoding matrix determined by adopting the SVD decomposition technology can be determined as the target precoding matrix because the layer reduction processing is not performed.
In the embodiment of the disclosure, the corresponding first MCS data is determined according to the minimum equivalent signal-to-noise ratio, the first MCS data is compared with the second MCS data with less layer data, layer reduction processing is performed when the first MCS data is smaller than the second MCS data, MCS reduction processing is performed when the first MCS data is greater than or equal to the second MCS data, scheduling is performed based on the first MCS data, and then the corresponding target precoding matrix is determined according to the scheduling mode, so that the condition that the performance after layer reduction is worse than the performance before layer reduction can be avoided, and the data transmission rate is effectively ensured. Because the first MCS data is determined according to the minimum equivalent signal-to-noise ratio, the equivalent signal-to-noise ratio is smaller than the signal-to-noise ratio of the antenna, and the signal-to-noise ratio is in a direct proportional relationship with the MCS, the first MCS data determined according to the minimum equivalent signal-to-noise ratio is smaller than the original MCS data, so that scheduling is performed based on the first MCS data, and the scheduling scheme for reducing the MCS processing is realized.
Further, in an optional implementation manner, on the basis of the foregoing embodiment, after performing layer reduction processing, according to the signal-to-noise ratio of the minimum layer in the reserved scheduling layers, the third MCS data matched with the signal-to-noise ratio of the minimum layer may be selected for scheduling.
Wherein, reserving the scheduling layer refers to the layer left after layer reduction processing. The minimum layer in the reservation scheduling layers may be determined according to the reservation scheduling layers, for example, the reservation scheduling layers are layer 1, layer 2, and layer 3, and the minimum layer is layer 1, and for example, the reservation scheduling layers are layer 2, layer 3, and layer 4, and the minimum layer is layer 2.
In the embodiment of the disclosure, the third MCS data corresponding to the signal-to-noise ratio of the minimum layer is obtained according to the signal-to-noise ratio of the minimum layer in the reserved scheduling layer, and scheduling is performed according to the third MCS data, so that adaptive adjustment of the MCS data can be realized, and the purpose of increasing the transmission rate is achieved.
In order to implement the foregoing embodiment, the present disclosure further provides a device for acquiring a precoding matrix, where the device for acquiring a precoding matrix is applied to a base station, can be implemented by software and/or hardware, and can be integrated on the base station provided in the embodiment of the present disclosure.
Fig. 3 is a schematic structural diagram of an apparatus for acquiring a precoding matrix according to an embodiment of the present disclosure, and as shown in fig. 3, the apparatus 30 for acquiring a precoding matrix may include: an acquisition module 310, a first determination module 320, a decomposition module 330, a calculation module 340, and a second determination module 350.
The acquiring module 310 is configured to acquire a sounding reference signal according to a preset SRS scheduling period;
a first determining module 320, configured to determine a channel matrix and a signal-to-noise ratio corresponding to each antenna according to the sounding reference signal;
a decomposition module 330, configured to perform SVD decomposition on the channel matrix to obtain a precoding matrix and a feature matrix;
a calculating module 340, configured to calculate an average signal-to-noise ratio according to the signal-to-noise ratio corresponding to each antenna, and calculate an equivalent signal-to-noise ratio of each layer of data corresponding to the precoding matrix according to the average signal-to-noise ratio and the feature matrix;
a second determining module 350, configured to determine a target precoding matrix according to the equivalent snr of each layer of data.
In an alternative embodiment, the second determining module 350 includes:
a first determining unit, configured to query a table of correspondence between signal-to-noise ratios and MCSs according to a signal-to-noise ratio corresponding to each antenna, and determine MCS data corresponding to each antenna;
the device comprises an acquisition unit, a feedback unit and a feedback unit, wherein the acquisition unit is used for inquiring a data performance table of an additive white Gaussian noise channel according to MCS data corresponding to each antenna so as to acquire the Gaussian signal-to-noise ratio corresponding to each antenna;
the processing unit is used for carrying out layer reduction processing under the condition that the equivalent signal-to-noise ratio of each layer of data is smaller than the Gaussian signal-to-noise ratio of the corresponding antenna;
and the second determining unit is used for determining a target precoding matrix based on the layer descending processing result.
In an optional implementation, the processing unit is further configured to:
determining the minimum equivalent signal-to-noise ratio from the equivalent signal-to-noise ratios of each layer of data;
inquiring a corresponding relation table of the signal-to-noise ratio and the MCS according to the minimum equivalent signal-to-noise ratio, and determining first MCS data corresponding to the minimum equivalent signal-to-noise ratio;
acquiring second MCS data of n layers of data, wherein n is a positive integer smaller than the number of layers of the precoding matrix;
and performing layer reduction processing under the condition that the first MCS data is smaller than the second MCS data.
In an optional implementation, the second determining module 350 further includes:
a first scheduling unit, configured to perform scheduling based on the first MCS data when the first MCS data is greater than or equal to the second MCS data;
a third determining unit, configured to determine the precoding matrix as the target precoding matrix.
In an optional implementation manner, the second determining module 350 further includes:
and the second scheduling unit is used for selecting third MCS data matched with the signal-to-noise ratio of the minimum layer in a reserved scheduling layer for scheduling according to the signal-to-noise ratio of the minimum layer, wherein the reserved scheduling layer is the layer left after layer reduction processing.
In an optional implementation manner, the calculating module 340 is specifically configured to:
calculating the equivalent signal-to-noise ratio of each layer of data through the following formula:
SNR'(i)＝SNR_AVG-(10log10(SNR(i))-10log10(S 1,i ))；
wherein i represents the ith layer of the precoding matrix, SNR' (i) represents the equivalent signal-to-noise ratio of the ith layer of data, SNR _ AVG represents the average signal-to-noise ratio, SNR (i) represents the signal-to-noise ratio corresponding to the ith antenna, and S 1,i Representing the eigenvalue of the 1 st row and i column in the eigenvalue matrix.
In an optional implementation manner, the first determining module 320 is specifically configured to:
determining a first channel matrix of M x N according to a sounding reference signal acquired in a current SRS scheduling period, wherein the values of M and N are determined according to an SRS day selection mode;
storing the first channel matrix into a storage space corresponding to an antenna port number for transmitting the sounding reference signal;
after the storage space is full, combining each first channel matrix in the storage space to obtain the channel matrix.
The apparatus for acquiring a precoding matrix provided by the embodiment of the present disclosure can execute the method for acquiring a precoding matrix applicable to a base station provided by the embodiment of the present disclosure, and has functional modules and beneficial effects corresponding to the execution method. Reference may be made to the description of any method embodiment of the disclosure that may not be described in detail in the embodiments of the apparatus of the disclosure.
In order to implement the foregoing embodiments, the present disclosure also provides a base station, including:
a processor; and
a memory storing a computer program for executing a computer program,
the computer program includes instructions, and when the instructions are executed by the processor, the processor is caused to execute the steps of the embodiments of the method for acquiring a precoding matrix according to the foregoing embodiments, and details are not repeated herein in order to avoid repeated description.
The embodiments of the present disclosure further provide a computer-readable storage medium, where computer-executable instructions are stored, and when the computer-executable instructions are executed by a processor, the steps of the embodiments of the method for acquiring a precoding matrix according to the foregoing embodiments are implemented, and are not described herein again to avoid repeated descriptions.
The embodiment of the present disclosure further provides a computer program product, where the computer program product is configured to execute the steps of the embodiments of the method for acquiring a precoding matrix according to the foregoing embodiments.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
The previous description is only for the purpose of describing particular embodiments of the present disclosure, so as to enable those skilled in the art to understand or implement the present disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the disclosure. Thus, the present disclosure is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (9)
1. A method for acquiring a precoding matrix is applied to a base station, and the method comprises the following steps:
acquiring a sounding reference signal according to a preset SRS scheduling period;
determining a channel matrix and a signal-to-noise ratio corresponding to each antenna according to the sounding reference signal;
performing SVD on the channel matrix to obtain a precoding matrix and a characteristic matrix;
calculating to obtain an average signal-to-noise ratio according to the signal-to-noise ratio corresponding to each antenna, and calculating an equivalent signal-to-noise ratio of each layer of data corresponding to the precoding matrix according to the average signal-to-noise ratio and the characteristic matrix;
determining a target precoding matrix according to the equivalent signal-to-noise ratio of each layer of data;
wherein, the determining a target precoding matrix according to the equivalent signal-to-noise ratio of each layer of data comprises:
inquiring a corresponding relation table of the signal-to-noise ratio and the MCS according to the signal-to-noise ratio corresponding to each antenna, and determining MCS data corresponding to each antenna;
inquiring a data performance table of an additive white Gaussian noise channel according to MCS data corresponding to each antenna to obtain a Gaussian signal to noise ratio corresponding to each antenna;
performing layer reduction processing under the condition that the equivalent signal-to-noise ratio of each layer of data is smaller than the Gaussian signal-to-noise ratio of the corresponding antenna;
and determining a target precoding matrix based on the layer reduction processing result.
2. The method according to claim 1, wherein the performing layer reduction processing when the equivalent snr of each layer of data is smaller than the gaussian snr of the corresponding antenna comprises:
determining the minimum equivalent signal-to-noise ratio from the equivalent signal-to-noise ratios of each layer of data;
inquiring a corresponding relation table of the signal-to-noise ratio and the MCS according to the minimum equivalent signal-to-noise ratio, and determining first MCS data corresponding to the minimum equivalent signal-to-noise ratio;
acquiring second MCS data of n layers of data, wherein n is a positive integer smaller than the number of layers of the precoding matrix;
and performing layer reduction processing under the condition that the first MCS data is smaller than the second MCS data.
3. The method for acquiring precoding matrix of claim 2, wherein the method further comprises:
scheduling based on the first MCS data if the first MCS data is greater than or equal to the second MCS data;
determining the precoding matrix as the target precoding matrix.
4. The method for acquiring precoding matrices according to claim 2, wherein after performing layer reduction processing, the method further comprises:
and selecting third MCS data matched with the signal-to-noise ratio of the minimum layer for scheduling according to the signal-to-noise ratio of the minimum layer in a reserved scheduling layer, wherein the reserved scheduling layer is the layer left after layer reduction processing.
5. The method for obtaining the precoding matrix according to any one of claims 1 to 4, wherein the calculating the equivalent signal-to-noise ratio of each layer of data corresponding to the precoding matrix according to the average signal-to-noise ratio and the feature matrix comprises:
calculating the equivalent signal-to-noise ratio of each layer of data through the following formula:
SNR'(i)＝SNR_AVG-(10log10(SNR(i))-10log10(S 1,i ))；
wherein i represents the ith layer of the precoding matrix, SNR' (i) represents the equivalent signal-to-noise ratio of the ith layer of data, SNR _ AVG represents the average signal-to-noise ratio, SNR (i) represents the signal-to-noise ratio corresponding to the ith antenna, and S 1,i Representing the eigenvalue of the 1 st row and i column in the eigenvalue matrix.
6. The method for acquiring a precoding matrix according to any one of claims 1 to 4, wherein the determining a channel matrix according to the sounding reference signal comprises:
determining a first channel matrix of M x N according to a sounding reference signal acquired in a current SRS scheduling period, wherein the values of M and N are determined according to an SRS day selection mode;
storing the first channel matrix into a storage space corresponding to an antenna port number for transmitting the sounding reference signal;
after the storage space is full, combining each first channel matrix in the storage space to obtain the channel matrix.
7. An apparatus for acquiring a precoding matrix, applied to a base station, the apparatus comprising:
an obtaining module, configured to obtain a sounding reference signal according to a preset SRS scheduling period;
a first determining module, configured to determine a channel matrix and a signal-to-noise ratio corresponding to each antenna according to the sounding reference signal;
the decomposition module is used for carrying out SVD on the channel matrix to obtain a precoding matrix and a characteristic matrix;
the calculation module is used for calculating to obtain an average signal-to-noise ratio according to the signal-to-noise ratio corresponding to each antenna, and calculating the equivalent signal-to-noise ratio of each layer of data corresponding to the precoding matrix according to the average signal-to-noise ratio and the characteristic matrix;
a second determining module, configured to determine a target precoding matrix according to the equivalent signal-to-noise ratio of each layer of data;
wherein the second determining module comprises:
a first determining unit, configured to query a table of correspondence between signal-to-noise ratios and MCSs according to a signal-to-noise ratio corresponding to each antenna, and determine MCS data corresponding to each antenna;
the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for inquiring a data performance table of an additive Gaussian white noise channel according to MCS data corresponding to each antenna so as to acquire the Gaussian signal to noise ratio corresponding to each antenna;
the processing unit is used for carrying out layer reduction processing under the condition that the equivalent signal-to-noise ratio of each layer of data is smaller than the Gaussian signal-to-noise ratio of the corresponding antenna;
and the second determining unit is used for determining a target precoding matrix based on the layer descending processing result.
8. A base station, comprising:
a processor; and
a memory in which the computer program is stored,
wherein the computer program comprises instructions which, when executed by the processor, cause the processor to carry out the method of acquiring a precoding matrix as defined in any one of claims 1 to 6.
9. A computer-readable storage medium, wherein computer-executable instructions are stored in the computer-readable storage medium, and when executed by a processor, the computer-executable instructions implement the method for acquiring a precoding matrix according to any one of claims 1 to 6.
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