CN107222248B - Channel quality indication determining method and device and communication equipment - Google Patents
Channel quality indication determining method and device and communication equipment Download PDFInfo
- Publication number
- CN107222248B CN107222248B CN201610154808.4A CN201610154808A CN107222248B CN 107222248 B CN107222248 B CN 107222248B CN 201610154808 A CN201610154808 A CN 201610154808A CN 107222248 B CN107222248 B CN 107222248B
- Authority
- CN
- China
- Prior art keywords
- value
- cqi
- matrix
- main diagonal
- codeword
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 54
- 238000004891 communication Methods 0.000 title claims abstract description 15
- 239000011159 matrix material Substances 0.000 claims abstract description 145
- 238000012545 processing Methods 0.000 claims abstract description 47
- 238000000354 decomposition reaction Methods 0.000 claims abstract description 38
- 238000010606 normalization Methods 0.000 claims abstract description 18
- 238000000638 solvent extraction Methods 0.000 claims abstract description 9
- 238000013507 mapping Methods 0.000 claims description 23
- 239000013598 vector Substances 0.000 claims description 7
- 230000000903 blocking effect Effects 0.000 claims description 5
- 238000001514 detection method Methods 0.000 description 26
- 230000005540 biological transmission Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 230000007774 longterm Effects 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000012805 post-processing Methods 0.000 description 3
- 238000003672 processing method Methods 0.000 description 3
- 238000004088 simulation Methods 0.000 description 3
- 238000001228 spectrum Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 238000012935 Averaging Methods 0.000 description 1
- 238000007476 Maximum Likelihood Methods 0.000 description 1
- 230000003044 adaptive effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 125000004122 cyclic group Chemical group 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000010845 search algorithm Methods 0.000 description 1
- 230000008054 signal transmission Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
- H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
- H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
- H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
- H04B7/0621—Feedback content
- H04B7/0632—Channel quality parameters, e.g. channel quality indicator [CQI]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
- H04B7/0417—Feedback systems
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
- H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
- H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
- H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
- H04B7/0636—Feedback format
- H04B7/0639—Using selective indices, e.g. of a codebook, e.g. pre-distortion matrix index [PMI] or for beam selection
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The embodiment of the invention discloses a method and a device for determining Channel Quality Indicator (CQI) and communication equipment, wherein the method comprises the following steps: determining an equivalent channel matrix according to the received channel matrix and the precoding matrix; performing noise mean square error normalization processing on the equivalent channel matrix according to the received noise mean square error of the channel; performing orthogonal triangular decomposition on the normalized equivalent channel matrix to determine an upper triangular matrix after decomposition; partitioning the upper triangular matrix according to main diagonal elements and non-main diagonal elements to determine mutual information MI values of each layer; an average MI value of a codeword is calculated from the MI values of the layers, and a CQI value of the codeword is determined based on the average MI value of the codeword.
Description
Technical Field
The present invention relates to mobile communication technologies, and in particular, to a method and an apparatus for determining a Channel Quality Indicator (CQI), and a communication device.
Background
Multiple Input Multiple Output (MIMO) technology is the main method for improving spectrum efficiency in current wireless communication. At present, the technology is adopted by new-generation high-throughput wireless communication protocols such as 802.11n/ac, Long Term Evolution (LTE), Long Term Evolution (Long Term Evolution)/Long Term Evolution-Advanced (LTE-a) systems and the like. Space division multiplexing is an important form of MIMO technology, and its basic idea is to decompose a multi-antenna channel into multiple independent parallel sub-channels, and to transmit different data streams on these sub-channels to increase the transmission rate. However, the wireless channel of actual signal transmission is randomly varied, having frequency selectivity and time-varying characteristics. An Adaptive Modulation and Coding (AMC) technique is usually adopted in a communication system, which dynamically adjusts a Modulation scheme and a Coding rate of wireless link transmission according to the instantaneous quality of a channel, so as to improve the transmission rate and the throughput of the system. Specifically, a receiver of such a system implementing AMC estimates a Channel Quality Indicator (CQI) based on Channel conditions of a signal, interference, and the like, and then feeds back the estimated CQI to a transmitter in the system, so that the transmitter can select an appropriate modulation coding scheme to obtain a desired block error Rate (BLER) at the receiver. Thus, the accuracy of the CQI is very important for accurate and proper selection of the MCS and for achieving the desired BLER to improve the system spectrum utilization.
Currently, methods commonly used for determining the CQI include Exponential Equivalent SNR Mapping (EESM) and Mutual Information Equivalent SNR Mapping (MIESM), which can be used for linear detection, such as Minimum Mean Square Error (MMSE) detection, and determine the CQI by calculating an equivalent SNR by obtaining a post-processing Signal-to-Noise Ratio (SNR). However, if the above method for determining CQI is used for non-linear detection, since it is difficult to accurately obtain post-processing SNR of the non-linear detection, the accuracy when determining CQI is poor, and the potential performance gain caused by the non-linear detection cannot be completely obtained.
Disclosure of Invention
In order to solve the above technical problem, embodiments of the present invention provide a method and an apparatus for determining a channel quality indicator, and a communication device.
The embodiment of the invention provides a method for determining Channel Quality Indicator (CQI), which comprises the following steps:
determining an equivalent channel matrix according to the received channel matrix and the precoding matrix;
performing noise mean square error normalization processing on the equivalent channel matrix according to the received noise mean square error of the channel;
performing orthogonal triangular decomposition on the normalized equivalent channel matrix to determine an upper triangular matrix after decomposition;
partitioning the upper triangular matrix according to main diagonal elements and non-main diagonal elements to determine mutual information MI values of each layer;
an average MI value of a codeword is calculated from the MI values of the layers, and a CQI value of the codeword is determined based on the average MI value of the codeword.
In this embodiment of the present invention, the determining the CQI value of the codeword based on the average MI value of the codeword includes:
and respectively comparing the average MI value of the code word with MI value thresholds corresponding to CQI under each preset modulation mode, and taking the maximum CQI value in the CQI values corresponding to the MI value thresholds meeting the conditions as the CQI value of the code word.
In this embodiment of the present invention, the determining the CQI value of the codeword based on the average MI value of the codeword includes:
obtaining the equivalent SNR of the average MI value of the code word according to the mapping relation between the MI value and the SNR;
and searching a corresponding relation between a preset CQI and an SNR threshold value according to the equivalent SNR and the selected modulation mode, searching a maximum CQI value corresponding to the SNR threshold value meeting the condition, and taking the maximum CQI value as the CQI value of the code word.
In this embodiment of the present invention, the determining the mutual information MI value of each layer includes:
performing modulo processing on the elements of the upper triangular matrix to obtain
A matrix;
to pair
Partitioning the matrix to obtain main diagonal elements; index for searching performance-related main diagonal element combination in preset corresponding table and method for searching performance-related main diagonal element combination in preset corresponding table
Dereferencing non-main diagonal elements of the matrix;
according to
Searching corresponding MI value group in the index preset corresponding table of main diagonal element combination of the matrix
As interpolation elements, performing multi-dimensional interpolation on MI groups to determine performance-related
Combining corresponding MI values of main diagonal elements of the matrix;
will be provided with
And determining the MI value of each layer of the upper triangular matrix according to the MI value corresponding to the obtained performance-related main diagonal element combination.
In this embodiment of the present invention, the calculating an average MI value of codewords according to MI values of layers includes:
restoring the layer sequence of the received channel matrix according to the layer sequence of the orthogonal triangular decomposition, and obtaining an MI value of a corresponding code word according to the demapping from the layer to the code word;
setting MIj(k) Representing the MI value of the codeword j derived from the received channel matrix, the average MI value of the codewordjDetermined according to the following formula:
and K is the number of subcarriers in the bandwidth.
In the embodiment of the present invention, the preset mapping table includes
Mapping table between matrix and layer MI.
In this embodiment of the present invention, the performing modulo processing on the elements of the upper triangular matrix includes:
and carrying out modulo processing on the non-main diagonal elements of the upper triangular matrix.
A channel quality indication, CQI, determination apparatus comprising: the device comprises a first determination unit, a normalization processing unit, a decomposition unit, a blocking processing unit and a second determination unit, wherein:
a first determining unit, configured to determine an equivalent channel matrix according to the received channel matrix and the precoding matrix;
the normalization processing unit is used for carrying out noise mean square error normalization processing on the equivalent channel matrix according to the received noise mean square error of the channel;
the decomposition unit is used for carrying out orthogonal triangular decomposition on the normalized equivalent channel matrix and determining a decomposed upper triangular matrix;
the block processing unit is used for carrying out block processing on the upper triangular matrix according to the main diagonal elements and the non-main diagonal elements to determine the mutual information MI value of each layer;
a second determining unit, configured to calculate an average MI value of a codeword according to the MI values of the layers, and determine a CQI value of the codeword based on the average MI value of the codeword.
In this embodiment of the present invention, the second determining unit is further configured to compare the average MI value of the codeword with MI value thresholds corresponding to CQIs in preset modulation modes, and a maximum CQI value among CQI values corresponding to the MI value thresholds satisfying the condition is used as the CQI value of the codeword.
In this embodiment of the present invention, the second determining unit is further configured to obtain an equivalent SNR of the average MI value of the codeword according to a mapping relationship between the MI value and a signal-to-noise ratio SNR; and searching a corresponding relation between a preset CQI and an SNR threshold value according to the equivalent SNR and the selected modulation mode, searching a maximum CQI value corresponding to the SNR threshold value meeting the condition, and taking the maximum CQI value as the CQI value of the code word.
In this embodiment of the present invention, the block processing unit is further configured to perform modulo processing on the elements of the upper triangular matrix to obtain the upper triangular matrix
A matrix;
to pair
Partitioning the matrix to obtain main diagonal elements; index for searching performance-related main diagonal element combination in preset corresponding table and method for searching performance-related main diagonal element combination in preset corresponding table
Dereferencing non-main diagonal elements of the matrix;
according to
Searching corresponding MI value group in the index preset corresponding table of main diagonal element combination of the matrix
As interpolation elements, performing multi-dimensional interpolation on MI groups to determine performance-related
Combining corresponding MI values of main diagonal elements of the matrix;
will be provided with
And determining the MI value of each layer of the upper triangular matrix according to the MI value corresponding to the obtained performance-related main diagonal element combination.
In this embodiment of the present invention, the second determining unit is further configured to restore the layer sequence of the received channel matrix according to the layer sequence of the orthogonal triangular decomposition, and obtain an MI value of a corresponding codeword according to demapping from a layer to a codeword;
setting MIj(k) Representing the MI value of the codeword j derived from the received channel matrix, the average MI value of the codewordjDetermined according to the following formula:
and K is the number of subcarriers in the bandwidth.
A communication device comprising said CQI determination means.
In the technical scheme of the embodiment of the invention, an equivalent channel matrix is determined according to a received channel matrix and a pre-coding matrix; performing noise mean square error normalization processing on the equivalent channel matrix according to the received noise mean square error of the channel; performing orthogonal triangular decomposition on the normalized equivalent channel matrix to determine an upper triangular matrix after decomposition; partitioning the upper triangular matrix according to main diagonal elements and non-main diagonal elements to determine mutual information MI values of each layer; an average MI value of a codeword is calculated from the MI values of the layers, and a CQI value of the codeword is determined based on the average MI value of the codeword. The technical scheme of the embodiment of the invention adopts the pre-simulation to construct the mapping table of the modulus matrix and the layer MI value of the upper triangular matrix element combined by the modulation mode, can be directly equivalent to the nonlinear detection performance, achieves the aim of accurately calculating the CQI, and thus improves the utilization rate of the system spectrum. The MI layer is calculated by table lookup by a block processing method, so that the method is suitable for different types of nonlinear detection, and simultaneously reduces the complexity of table lookup and processing.
Drawings
Fig. 1 is a schematic diagram illustrating a CQI determination principle in a MIMO system according to an embodiment of the present invention;
fig. 2 is a flowchart of a CQI determination method according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart illustrating the determination of the layer MI value based on the blocking method according to the embodiment of the present invention;
fig. 4 is a schematic diagram of a flow chart of determining CQI by comparing MI value thresholds according to an embodiment of the present invention;
fig. 5 is another flow chart illustrating the CQI determination by comparing SNR value thresholds according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a CQI determination apparatus according to an embodiment of the present invention.
Detailed Description
So that the manner in which the features and aspects of the embodiments of the present invention can be understood in detail, a more particular description of the embodiments of the invention, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings.
For the reaction of MTA transmitting antenna and MRA space division multiplexing MIMO system comprising a plurality of receive antennas, the received signal y being determined by:
y＝Hs+N
wherein,
for transmitting the signal vector, each element in s containsOmega bit, siθ is a constellation point set;
is a received signal vector; h is MR×MTA dimensional channel matrix;
is a complex Gaussian white noise vector with variance of σ2。
As shown in fig. 1, in the OFDM-MIMO receiving system, a spatially transmitted wireless signal is processed by OFDM reception, and a Log-Likelihood Ratio (LLR) is output by detection of a detector, and then decoding is performed by a decoder. The Channel State Information (CSI) is obtained by estimating a Channel matrix H and a noise variance σ2And (6) obtaining the result through calculation. The receiving end feeds back parameters of Channel State Information (CSI) according to channel conditions, which are a limited set of Rank Indication (RI), Precoding Matrix Indication (PMI), and Channel Quality Indication (CQI). The CQI generally defines a modulation scheme, a code rate, and efficiency for each CQI index. The receiving end needs to report the highest CQI according to the current channel condition. The highest CQI corresponds to a Modulation and Coding Scheme (MCS) for which the estimated BLER of the received downlink transport block does not exceed a defined percentage, such as 10%.
In feedback CSI calculation, the determination of CQI depends on the current transmission mode and the best RI and PMI selection for the current channel. The fed back CQI level directly reflects the reception performance under the current conditions, which is closely related to the detector selected by the receiver. For spatial multiplexing, linear detection is selected, such as MMSE, and the equivalent SINR of post-processing can be explicitly calculated using channel estimation parameters, but the performance is not as good as that of non-linear detection. Nonlinear detection, such as Spherical Detection (SD), can obtain performance close to Maximum Likelihood estimation (ML) detection in performance, and thus is widely used. However, due to the nonlinear relation of detection, it is difficult to directly obtain the equivalent performance, and in order to reduce the complexity of detection and search, some approximation and simplification processes are also performed in the operation, so that the calculation of CQI becomes more challenging.
Fig. 2 is a flowchart of a CQI determination method according to an embodiment of the present invention, and as shown in fig. 2, the CQI determination method according to the embodiment of the present invention includes the following steps:
step 201, obtaining an equivalent channel matrix from the optimal precoding matrix.
Specifically, if H represents the received channel matrix and W represents the obtained optimal precoding matrix, the equivalent channel matrix H ise(k) Comprises the following steps:
He(k)＝H(k)·W(k)
where k is the subcarrier index on the corresponding symbol. In particular, the MIMO space division multiplexing at the transmitting end is in a large Delay cdd (cyclic Delay diversity) form, and w (k) is selected according to a fixed rule.
Step 202, noise mean square error normalization processing is performed on the equivalent channel matrix.
If the mean square error of the estimated noise is represented by sigma, the normalization process is as follows:
wherein,
the method is an equivalent channel matrix after normalization, the noise mean square error can be calculated by a front-end module, and the noise mean square error can be directly obtained when the method is used.
Step 203, obtaining an R matrix according to the same orthogonal triangle decomposition (QR) method in space division multiplexing nonlinear detection, specifically as follows:
wherein Q (k) is an orthogonal matrix, and R (k) is an upper triangular matrix.
In the nonlinear detection, an SD method is generally used, which performs QR decomposition on a channel matrix to triangulate the channel matrix, and is thus suitable for a tree search algorithm. The SD method adopted is different, and the QR decomposition method is also slightly different. For better performance, the QR decomposition method adjusts the classical QR decomposition and adjusts the Detection layer order, for example, FSD (Fixed-complex sphere Detection) adopts the sorted QR method. The QR decomposition method implemented here corresponds to the QR decomposition method used in the current spatial multiplexing nonlinear detection, and thus, the consistency between the method used in CQI determination and the actually received nonlinear detection is achieved. Since the adopted QR decomposition adjusts the classical QR decomposition, the regularity of a triangular matrix (R matrix) is broken, and the table lookup and the processing are difficult by directly mapping MI through the R matrix.
Step 204, the R matrix performs block processing according to the main diagonal elements and the non-main diagonal elements, and obtains a Mutual Information (MI) value of the layer.
The step is performed according to the possible code word modulation mode combinations of the transmitting end, and the modulation mode may be any one of QPSK, 16QAM, 64QAM and 256QAM, but is not limited thereto. For simplicity of processing, the same modulation method may be generally selected for the codewords, for example, 64QAM-64QAM is a combination of two codeword modulation schemes, but different modulation schemes may be used between codewords.
Fig. 3 is a schematic flow chart of determining a layer MI value based on a blocking method according to an embodiment of the present invention, and as shown in fig. 3, the blocking processing method according to the embodiment of the present invention specifically includes the following steps:
step 301, obtaining R matrix under same QR decomposition method in space division multiplexing nonlinear detection
Step 302, performing modulo value processing on the obtained R matrix elements. The specific mode is as follows:
wherein R isij(k) Respectively, the ith row and the jth column elements of the R (k) matrix. In general, QR decomposition is a decomposition that guarantees uniqueness, with the dominant diagonal elements being positive and real, so modulo arithmetic can only be performed on non-dominant diagonalsOn the line element. The influence of the elements on the off-diagonal of the R matrix on the performance of nonlinear detection is approximately measured by its modulus. The modular operation can greatly reduce the dimensionality of the R matrix, simplify the size of a mapping table and a searching method, and solve the complexity of MI operation.
Step 303, by
And the combination table look-up determines the index of the combination of the main diagonal elements related to the performance and the value of the non-main diagonal elements. The performance-related main diagonal element combination index referred to herein may be one or more.
In the modulation mode, the R element modulo matrix and the layer MI mapping table are divided into two parts, one part is an index of a main diagonal element combination and a non-main diagonal element value taking table, taking 4 receiving antennas and 3 layers MIMO as an example, as shown in table 1; the other part is an MI value table corresponding to the index of the main diagonal element combination and the non-main diagonal element combination, taking 4-receive antenna 3-layer MIMO as an example, as shown in table 2.
TABLE 1
TABLE 2
The table lookup uses table 1, which combines the main diagonal elements
For example, the indexes of the main diagonal element combination related to the performance may be i and j, and the values of the non-main diagonal elements can be determined by i and j.
In a step 304, the process is carried out,
and performing multi-dimensional interpolation by using the non-main diagonal elements as interpolation elements according to MI value groups corresponding to the index lookup table of the main diagonal element combination to determine MI corresponding to the main diagonal element combination related to performance.
The MI value set is determined by an index of a main diagonal element combination, and an MI value set corresponding to a vector formed by extracting values of non-main diagonal elements is obtained, wherein the MI value in the set can be expressed by the following sub-formula:
MI＝f(i,x,y,z)
wherein,
for the decimation function, x, y, z respectively represent correspondences
And f (-) is a mapping function from x, y and z to MI under the main diagonal index i. The main diagonal element index and the MI group table are obtained by presetting the combination of the conditional R matrix element value and the code modulation mode and using a large amount of simulation statistics of a real link. Thus, the real nonlinear receiving performance can be reflected with high precision. The multidimensional interpolation used may be linear interpolation or other types of interpolation methods.
In a step 305 of the method, the step is described,
and determining the MI value of each layer of the R matrix by using the main diagonal elements as interpolation elements according to the MI value corresponding to the obtained performance-related main diagonal element combination.
The process flow of fig. 2 is described continuously below.
In step 205, the average MI value of the codeword is calculated.
And restoring the sequence of the detection layer to the sequence of the H layer of the original receiving channel matrix according to the adjustment detection layer of QR decomposition, and then obtaining the MI value of the corresponding code word by demapping the layer to the code word. If MIj(k) And the MI value of the codeword j obtained corresponding to h (k) is shown, and for the OFDM system, the MI value of the subcarrier calculated in the bandwidth corresponding to the CQI feedback needs to be averaged.
Wherein K is the number of subcarriers calculated in the bandwidth.
In step 206, the optimal CQI is determined by threshold comparison.
And comparing the MI of the code word with MI value thresholds corresponding to CQI in different preset modulation modes, and selecting the maximum CQI value meeting the conditions as the final report value of the code word.
Wherein, Θ is a set of code modulation modes, and α is a selected modulation mode in the set;
is the MI value, T, of the codeword j obtained under the modulation scheme ααThe threshold values are threshold values corresponding to different CQI grades under the modulation mode α, and the threshold values can be obtained through link performance simulation by presetting parameters such as modulation mode code rates corresponding to the CQI grades, expected BLER and the like.
Fig. 4 is a schematic flowchart of determining CQI by comparing MI value thresholds according to an embodiment of the present invention, as shown in fig. 4, which includes: calculating an equivalent channel matrix, which is obtained by the operation of the obtained channel matrix and the optimal pre-coding matrix; channel normalization, namely performing normalization processing on an equivalent channel matrix by using the obtained noise mean square error; solving an R matrix in QR decomposition, and carrying out QR decomposition with the same nonlinear detection method on a normalized matrix obtained by a front module to obtain the R matrix; calculating MI value by using a block processing method, carrying out block processing on main diagonal elements and non-main diagonal elements by using an R matrix, and calculating MI value by searching a R element modulus matrix and a layer MI value mapping table and multi-dimensional interpolation under the combination of modulation modes; de-mapping to calculate code word average MI, where the de-mapping includes QR decomposition corresponding layer adjustment order de-mapping and de-mapping between layers and code words, and accumulating and averaging MI values of the same code word to obtain MI value of the corresponding layer; and determining the optimal CQI, and selecting the maximum CQI value in the satisfied conditions as the final report value of the code word by using the MI of the code word and the MI value threshold value corresponding to the CQI under different preset modulation modes. The foregoing steps can all be understood with reference to the flow chart shown in fig. 2.
Fig. 5 is another flowchart illustrating the CQI determination by comparing SNR value thresholds according to an embodiment of the present invention, and fig. 5 is different from fig. 4 in the metric for comparing and determining the CQI. In fig. 5, after the MI value of the codeword is obtained, the equivalent SNR is obtained from the mapping relationship between the MI value and the SNR, and only one modulation mode, such as the highest order modulation mode, may be selected to be processed according to the equivalent SNR corresponding to the codeword, and then the optimal CQI value of the codeword is determined by the preset equivalent SNR value threshold corresponding to the CQI.
Fig. 6 is a schematic structural diagram of a CQI determining apparatus according to an embodiment of the present invention, and as shown in fig. 6, the CQI determining apparatus according to the embodiment of the present invention includes: a first determination unit 60, a normalization processing unit 61, a decomposition unit 62, a block processing unit 63, and a second determination unit 64, wherein:
a first determining unit 60, configured to determine an equivalent channel matrix according to the received channel matrix and the precoding matrix;
a normalization processing unit 61, configured to perform noise mean square error normalization processing on the equivalent channel matrix according to the noise mean square error of the received channel;
the decomposition unit 62 is configured to perform orthogonal triangular decomposition on the normalized equivalent channel matrix, and determine a decomposed upper triangular matrix;
a block processing unit 63, configured to perform block processing on the upper triangular matrix according to the main diagonal elements and the non-main diagonal elements, and determine a mutual information MI value of each layer;
a second determining unit 64, configured to calculate an average MI value of a codeword according to the MI values of the layers, and determine a CQI value of the codeword based on the average MI value of the codeword.
As an implementation manner, the second determining unit 64 is further configured to compare the average MI value of the codeword with MI value threshold values corresponding to CQIs in preset modulation manners, and a maximum CQI value among CQI values corresponding to the MI value threshold values meeting the condition is used as the CQI value of the codeword.
As an implementation manner, the second determining unit 64 is further configured to obtain an equivalent SNR of the average MI value of the codeword according to a mapping relation between the MI value and a signal-to-noise ratio SNR; and searching a corresponding relation between a preset CQI and an SNR threshold value according to the equivalent SNR and the selected modulation mode, searching a maximum CQI value corresponding to the SNR threshold value meeting the condition, and taking the maximum CQI value as the CQI value of the code word.
As an implementation manner, the block processing unit 63 is further configured to perform modulo processing on the elements of the upper triangular matrix to obtain an upper triangular matrix
A matrix;
to pair
Partitioning the matrix to obtain main diagonal elements; index for searching performance-related main diagonal element combination in preset corresponding table and method for searching performance-related main diagonal element combination in preset corresponding table
Dereferencing non-main diagonal elements of the matrix;
according to
Searching corresponding MI value group in the index preset corresponding table of main diagonal element combination of the matrix
As interpolation elements, performing multi-dimensional interpolation on MI groups to determine performance-related
Combining corresponding MI values of main diagonal elements of the matrix;
will be provided with
And determining the MI value of each layer of the upper triangular matrix according to the MI value corresponding to the obtained performance-related main diagonal element combination.
As an implementation manner, the second determining unit 64 is further configured to restore the layer order of the received channel matrix according to the layer order of the orthogonal trigonometric decomposition, and obtain an MI value of the corresponding codeword according to the demapping from the layer to the codeword;
setting MIj(k) Representing the MI value of the codeword j derived from the received channel matrix, the average MI value of the codewordjDetermined according to the following formula:
and K is the number of subcarriers in the bandwidth.
In the embodiment of the present invention, the preset mapping table includes
Mapping table between matrix and layer MI.
In this embodiment of the present invention, the block processing unit 63 performs modulo processing on the elements of the upper triangular matrix, including:
and carrying out modulo processing on the non-main diagonal elements of the upper triangular matrix.
Those skilled in the art will understand that the functions implemented by the processing units in the CQI determination apparatus shown in fig. 6 can be understood by referring to the related description of the foregoing embodiments of the CQI determination method. The functions of the units in the CQI determination apparatus shown in fig. 6 may be implemented by a program running on a processor, or may be implemented by specific logic circuits.
The embodiment of the present invention further describes a communication device, which is characterized in that the communication device includes the CQI determining apparatus in each of the foregoing embodiments.
In the embodiment of the present invention, the communication device includes a base station, a relay node, a micro base station, and the like, and may also include a mobile terminal such as a mobile phone.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: various media that can store program codes, such as a removable Memory device, a Read Only Memory (ROM), a magnetic disk, or an optical disk.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: various media that can store program codes, such as a removable Memory device, a Read Only Memory (ROM), a magnetic disk, or an optical disk.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (11)
1. A method for channel quality indication, CQI, determination, the method comprising:
determining an equivalent channel matrix according to the received channel matrix and the precoding matrix;
performing noise mean square error normalization processing on the equivalent channel matrix according to the received noise mean square error of the channel;
performing orthogonal triangular decomposition on the normalized equivalent channel matrix to determine an upper triangular matrix after decomposition;
partitioning the upper triangular matrix according to main diagonal elements and non-main diagonal elements to determine mutual information MI values of each layer;
calculating an average MI value of a code word according to the MI values of all layers, and determining a CQI value of the code word based on the average MI value of the code word;
the determining of the mutual information MI value of each layer comprises the following steps:
performing modulo processing on the elements of the upper triangular matrix to obtain
A matrix;
to pair
Partitioning the matrix to obtain main diagonal elements; index for searching performance-related main diagonal element combination in preset corresponding table and method for searching performance-related main diagonal element combination in preset corresponding table
Dereferencing non-main diagonal elements of the matrix;
according to
The index of the main diagonal element combination of the matrix is used for searching the corresponding MI value group in the preset corresponding table
The non-main diagonal elements of (1) as interpolation elements, performing multi-dimensional interpolation on MI value groups, and determining performance-related
Combining corresponding MI values of main diagonal elements of the matrix; the MI value set is composed of main diagonal elementsDetermining indexes of the vector, namely extracting MI value sets corresponding to the vectors formed by the values of the non-main diagonal elements;
will be provided with
And determining the MI value of each layer of the upper triangular matrix according to the MI value corresponding to the obtained performance-related main diagonal element combination.
2. A CQI determination method according to claim 1, wherein the determining of the CQI value for the codeword based on the average MI value for the codeword comprises:
and respectively comparing the average MI value of the code word with MI value thresholds corresponding to CQI under each preset modulation mode, and taking the maximum CQI value in the CQI values corresponding to the MI value thresholds meeting the conditions as the CQI value of the code word.
3. A CQI determination method according to claim 1, wherein the determining of the CQI value for the codeword based on the average MI value for the codeword comprises:
obtaining the equivalent SNR of the average MI value of the code word according to the mapping relation between the MI value and the SNR;
and searching a corresponding relation between a preset CQI and an SNR threshold value according to the equivalent SNR and the selected modulation mode, searching a maximum CQI value corresponding to the SNR threshold value meeting the condition, and taking the maximum CQI value as the CQI value of the code word.
4. A CQI determination method according to any of claims 1 to 3, wherein the calculating of the average MI value for a codeword from the MI values for each layer comprises:
restoring the layer sequence of the received channel matrix according to the layer sequence of the orthogonal triangular decomposition, and obtaining an MI value of a corresponding code word according to demapping from each layer to the code word;
setting MIj(k) Representing the MI value of the codeword j derived from the received channel matrix, the average MI value of the codeword jjDetermined according to the following formula:
and K is the number of subcarriers in the bandwidth.
5. The CQI determination method according to claim 1, wherein the preset correspondence table comprises
Mapping table between matrix and layer MI.
6. A CQI determination method according to claim 1, characterized in that the modulo processing of the elements of the upper triangular matrix comprises:
and carrying out modulo processing on the non-main diagonal elements of the upper triangular matrix.
7. An apparatus for channel quality indication, CQI, determination, the apparatus comprising: the device comprises a first determination unit, a normalization processing unit, a decomposition unit, a blocking processing unit and a second determination unit, wherein:
a first determining unit, configured to determine an equivalent channel matrix according to the received channel matrix and the precoding matrix;
the normalization processing unit is used for carrying out noise mean square error normalization processing on the equivalent channel matrix according to the received noise mean square error of the channel;
the decomposition unit is used for carrying out orthogonal triangular decomposition on the normalized equivalent channel matrix and determining a decomposed upper triangular matrix;
the block processing unit is used for carrying out block processing on the upper triangular matrix according to the main diagonal elements and the non-main diagonal elements to determine the mutual information MI value of each layer;
a second determining unit, configured to calculate an average MI value of a codeword according to MI values of respective layers, and determine a CQI value of the codeword based on the average MI value of the codeword;
the block processing unit is further configured to perform modulo processing on the elements of the upper triangular matrix to obtain
A matrix;
to pair
Partitioning the matrix to obtain main diagonal elements; index for searching performance-related main diagonal element combination in preset corresponding table and method for searching performance-related main diagonal element combination in preset corresponding table
Dereferencing non-main diagonal elements of the matrix;
according to
The index of the main diagonal element combination of the matrix is used for searching the corresponding MI value group in the preset corresponding table
The non-main diagonal elements of (1) as interpolation elements, performing multi-dimensional interpolation on MI value groups, and determining performance-related
Combining corresponding MI values of main diagonal elements of the matrix; the MI value set is determined by indexes of main diagonal element combinations, and MI value sets corresponding to vectors formed by extracting values of non-main diagonal elements;
will be provided with
And determining the MI value of each layer of the upper triangular matrix according to the MI value corresponding to the obtained performance-related main diagonal element combination.
8. The apparatus of claim 7, wherein the second determining unit is further configured to compare the average MI value of the codeword with MI value threshold values corresponding to CQIs in preset modulation schemes, respectively, and a maximum CQI value among CQI values corresponding to the MI value threshold values that satisfy the condition is used as the CQI value of the codeword.
9. The CQI determination apparatus according to claim 7, wherein said second determination unit is further configured to obtain an equivalent SNR of the average MI value of the codeword according to a mapping relation between the MI value and a signal-to-noise ratio (SNR); and searching a corresponding relation between a preset CQI and an SNR threshold value according to the equivalent SNR and the selected modulation mode, searching a maximum CQI value corresponding to the SNR threshold value meeting the condition, and taking the maximum CQI value as the CQI value of the code word.
10. A CQI determining apparatus according to any of claims 7 to 9, wherein the second determining unit is further configured to revert to the received channel matrix according to the layer order of the orthogonal trigonometric decomposition, and obtain the MI value of the corresponding codeword according to the demapping of each layer to the codeword;
setting MIj(k) Representing the MI value of the codeword j derived from the received channel matrix, the average MI value of the codeword jjDetermined according to the following formula:
and K is the number of subcarriers in the bandwidth.
11. A communication device, characterized in that it comprises the CQI determination means of any of claims 7 to 10.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610154808.4A CN107222248B (en) | 2016-03-17 | 2016-03-17 | Channel quality indication determining method and device and communication equipment |
| PCT/CN2016/110492 WO2017157066A1 (en) | 2016-03-17 | 2016-12-16 | Method for determining channel quality indicator and apparatus, communication device, and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610154808.4A CN107222248B (en) | 2016-03-17 | 2016-03-17 | Channel quality indication determining method and device and communication equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107222248A CN107222248A (en) | 2017-09-29 |
| CN107222248B true CN107222248B (en) | 2020-08-18 |
Family
ID=59850738
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610154808.4A Active CN107222248B (en) | 2016-03-17 | 2016-03-17 | Channel quality indication determining method and device and communication equipment |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN107222248B (en) |
| WO (1) | WO2017157066A1 (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111475429B (en) * | 2019-01-24 | 2023-08-29 | 爱思开海力士有限公司 | memory access method |
| CN110648518B (en) * | 2019-09-23 | 2021-04-20 | 湖南长城信息金融设备有限责任公司 | Data transmission method for unmanned aerial vehicle and remote controller and corresponding device thereof |
| CN115276908B (en) * | 2022-07-25 | 2023-09-22 | 哲库科技(北京)有限公司 | Wireless communication method, device and storage medium |
| CN118138421B (en) * | 2024-04-12 | 2024-08-09 | 中国通信建设集团设计院有限公司 | Signal efficient transmission method based on adaptive modulation |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102265546A (en) * | 2008-12-23 | 2011-11-30 | 爱立信电话股份有限公司 | Channel quality determination of wireless communication channel based on received data |
| CN103209049A (en) * | 2013-02-27 | 2013-07-17 | 东南大学 | Link self-adaptation transmission method under iteration receiving condition |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8218667B2 (en) * | 2006-11-15 | 2012-07-10 | Lg Electronics Inc. | Data transmission method using dirty paper coding in MIMO system |
-
2016
- 2016-03-17 CN CN201610154808.4A patent/CN107222248B/en active Active
- 2016-12-16 WO PCT/CN2016/110492 patent/WO2017157066A1/en active Application Filing
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102265546A (en) * | 2008-12-23 | 2011-11-30 | 爱立信电话股份有限公司 | Channel quality determination of wireless communication channel based on received data |
| CN103209049A (en) * | 2013-02-27 | 2013-07-17 | 东南大学 | Link self-adaptation transmission method under iteration receiving condition |
Non-Patent Citations (1)
| Title |
|---|
| TD-LTE系统中新型SNR和CQI映射方法;谢灿等;《电视技术》;20131231;第37卷(第17期);第209-212页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2017157066A1 (en) | 2017-09-21 |
| CN107222248A (en) | 2017-09-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102882575B (en) | For determining the method and apparatus of channel condition information | |
| US8611453B2 (en) | CQI table for wireless MIMO network | |
| EP2082512B1 (en) | Method for selecting transmission parameters for a data transmission and data transmission controller | |
| US10341080B2 (en) | Method and apparatus for determining quantity of channel quality indicators (CQI) | |
| Coskun et al. | Performance analysis of maximal-ratio transmission/receive antenna selection in Nakagami-$ m $ fading channels with channel estimation errors and feedback delay | |
| KR20080073218A (en) | Method for transmitting channel quality information based on differential scheme | |
| TW202044783A (en) | Receiver, operation method thereof and signal detecting method thereof and non-transitory computer-readable recording medium | |
| US8416873B2 (en) | MMSE demodulation in a multi-user MIMO system | |
| KR101106684B1 (en) | Apparatus and method for receiver in multiple antenna system | |
| CN107222248B (en) | Channel quality indication determining method and device and communication equipment | |
| CN108781100B (en) | Transmission diversity method, equipment and system | |
| CN107181562A (en) | A kind of CSI feedback method, precoding and device | |
| EP3414848A1 (en) | Method of reporting channel state information, communication device and computer program | |
| CN103391129A (en) | Apparatus and method for decoding received signal | |
| CN106452662B (en) | A kind of method for precoding and device | |
| KR20120119935A (en) | Method and apparatus of detecting signal based on minimum mean square error in multiple input multiple output system | |
| KR20140145873A (en) | Method and apparatus for measiuring link quality in wireless communication system | |
| US9025708B1 (en) | Method and apparatus for detecting a desired signal in the presence of an interfering signal | |
| JP6180333B2 (en) | Method for decoding a signal in a radio frequency receiver | |
| US10931341B2 (en) | Channel state information extraction method and MIMO receiver using QR decomposition and MMIB metric | |
| EP3249826B1 (en) | Indication information correction method, system and storage medium | |
| KR20160027721A (en) | Method and apparatus for measuring a channel quality in multiple input multiple output system | |
| CN108809392B (en) | Data sending method, data receiving method, network equipment and terminal equipment | |
| Godala et al. | A deep learning based approach for 5G NR CSI estimation | |
| JP2008228145A (en) | Receiver in multi-user mimo system, control program and reception control method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |