CN106161290B - Inter-stream interference calculation method and device and communication system - Google Patents
Inter-stream interference calculation method and device and communication system Download PDFInfo
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Abstract
The invention provides a method, a device and a communication system for calculating interference between streams, wherein the method comprises the following steps: receiving a detection signal; constructing a correlation matrix of the data stream according to the detection signal; inter-stream interference is calculated from the correlation matrix. Through the implementation of the invention, the correlation matrix of the data stream is constructed according to the detection signal sent by the terminal, the interference between streams is calculated according to the correlation matrix, the correlation coefficient in the correlation matrix calculated according to the detection signal is not influenced by external factors, and the precision of the correlation coefficient is higher; meanwhile, the inter-flow interference is calculated according to the correlation matrix, and compared with the existing mode that the inter-flow interference needs to be quantitatively obtained at the terminal according to an SINR calculation formula, the method is small in calculation amount and simple in process.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method and an apparatus for calculating inter-stream interference in a large-scale mimo system in an ofdm system, and a communication system.
Background
Massive multiple input multiple output (Massive MIMO) is one of the key technologies recognized by LTE (long term evolution) and 5G (fifth generation mobile communication technology), and the technology can greatly improve frequency efficiency and capacity of a wireless network. Compared with the antenna deployment of hundreds of times of scale of the current MIMO, the large-scale MIMO is matched with beam forming, and antenna lobes can be more finely controlled. In a large-scale mimo system, a plurality of data streams are transmitted in parallel through a plurality of antennas, so that a peak rate and a cell capacity can be improved through multiplexing gain.
The method for determining the inter-stream interference in the prior art is to generate data streams with different correlation coefficients through a wireless channel and then obtain the inter-stream interference quantitatively at a terminal according to an SINR calculation formula.
Therefore, how to provide a method for calculating inter-stream interference with high accuracy is a technical problem that needs to be solved urgently by those skilled in the art.
Disclosure of Invention
The invention provides a method and a device for calculating inter-flow interference and a communication system, which aim to solve the problem of low precision of the existing inter-flow interference calculation technology.
The invention provides a method for calculating interference between streams, which comprises the following steps: receiving a detection signal; constructing a correlation matrix of the data stream according to the detection signal; inter-stream interference is calculated from the correlation matrix.
Further, the constructing the correlation matrix of the data stream according to the detection signal in the above embodiment includes: and performing channel estimation on the detection signal to obtain channel response, calculating a correlation coefficient according to the channel response, and constructing a correlation matrix according to the correlation coefficient.
Further, the above embodiments perform channel estimation on the sounding reference signal to obtain the channel response
Calculating the correlation coefficients of the flow k1 and the flow k2 to construct a correlation matrix C with the dimension of N × N, wherein k of the correlation matrix C1k2The element is a value; wherein k is the stream number index, M is the antenna index, P is the carrier index, N is the stream number, M is the total number of antennas, and P is the total number of carriers.
Further, the calculating the inter-stream interference according to the correlation matrix in the above embodiment includes: and calculating a channel matrix according to the correlation matrix, acquiring a forming matrix through the channel matrix, and calculating inter-stream interference according to the channel matrix and the forming matrix.
Further, the channel matrix calculation according to the correlation matrix in the above embodiment includes performing Cholesky decomposition on the correlation matrix C to obtain a matrix U-chol (C), constructing a random matrix R with a dimension P × N, and performing multiplication calculation on the random matrix R and the matrix U according to H-RU to obtain the channel matrix, and the channel matrix acquisition of the forming matrix according to the channel matrix includes performing multiplication calculation on the channel matrix R and the matrix UH is subjected to conjugate transposition to obtain a matrix H*According to formula (B) ═ H*H)-1H*And calculating to obtain a forming matrix B.
Further, the calculating the inter-stream interference according to the channel matrix and the forming matrix in the above embodiment includes: according to
Calculating a signal-to-noise ratio; according to
Calculating the number of streams N1Increase to N2Resulting in inter-stream interference of which PkIs the power of the kth stream, PjIs the power of the jth stream, BkFor the k column vector, H, of the forming matrix BkIs the k column vector of the channel matrix H, BjAs the j-th column vector, H, of the forming matrix BjIs the jth column vector of the channel matrix Hj, 0<j, k is less than or equal to N, N is the number of streams, N0Is the receiver side noise floor.
The present invention also provides an inter-stream interference calculation apparatus, which in one embodiment comprises: a receiving module, configured to receive a probe signal; the construction module is used for constructing a correlation matrix of the data stream according to the detection signal; and the processing module is used for calculating the inter-stream interference according to the correlation matrix.
Further, the building module in the above embodiment is configured to perform channel estimation on the probe signal to obtain a channel response, calculate a correlation coefficient according to the channel response, and build a correlation matrix according to the correlation coefficient.
Further, the building block in the above embodiment is specifically configured to perform channel estimation on the sounding reference signal to obtain a channel response basis
Calculating the correlation coefficients of the flow k1 and the flow k2 to construct a correlation matrix C with the dimension of N × N, wherein k of the correlation matrix C1k2The element is a value; wherein k is the stream number index, M is the antenna index, P is the carrier index, N is the stream number, M is the total number of antennas, and P is the total number of carriers.
Further, the processing module in the above embodiment is configured to calculate a channel matrix according to the correlation matrix, obtain a forming matrix through the channel matrix, and calculate inter-stream interference according to the channel matrix and the forming matrix.
Further, the processing module in the above embodiment includes a first processing sub-module configured to perform Cholesky decomposition on the correlation matrix C to obtain a matrix U-chol (C), construct a random matrix R with a dimension P × N, and multiply and calculate the random matrix R and the matrix U according to H-RU to obtain a channel matrix H, and a second processing sub-module configured to perform conjugate transpose on the channel matrix H to obtain the matrix H*According to formula (B) ═ H*H)-1H*And calculating to obtain a forming matrix B.
Further, the processing module in the above embodiment further includes: a third processing submodule for processing according to
Calculating a signal-to-noise ratio; according to
Calculating the number of streams N1Increase to N2Resulting in inter-stream interference of which PkIs the power of the kth stream, PjIs the power of the jth stream, BkFor the k column vector, H, of the forming matrix BkIs the k column vector of the channel matrix H, BjAs the j-th column vector, H, of the forming matrix BjIs the jth column vector of the channel matrix Hj, 0<j, k is less than or equal to N, N is the number of streams, N0Is the receiver side noise floor.
The invention also provides a communication system, wherein the large-scale multiple-input multiple-output system in the communication system comprises a base station, and the base station is provided with the inter-stream interference calculation device provided by the invention.
The invention has the beneficial effects that:
according to the inter-stream interference calculation method provided by the invention, the correlation matrix of the data stream is constructed according to the detection signal sent by the terminal, the inter-stream interference is calculated according to the correlation matrix, the correlation coefficient in the correlation matrix obtained by calculation according to the detection signal is not influenced by external factors, and the precision of the correlation coefficient is higher; meanwhile, the inter-flow interference is calculated according to the correlation matrix, and compared with the existing mode that the inter-flow interference needs to be quantitatively obtained at the terminal according to an SINR calculation formula, the method is small in calculation amount and simple in process.
Drawings
Fig. 1 is a schematic diagram of an inter-stream interference calculation apparatus according to a first embodiment of the present invention;
fig. 2 is a flowchart of a method for calculating inter-stream interference according to a second embodiment of the present invention;
fig. 3 is a flowchart of a method for calculating inter-stream interference according to a third embodiment of the present invention.
Detailed Description
The invention will now be further explained by means of embodiments in conjunction with the accompanying drawings.
The first embodiment:
fig. 1 is a schematic diagram of an inter-stream interference calculation apparatus according to a first embodiment of the present invention, and as can be seen from fig. 1, in this embodiment, the inter-stream interference calculation apparatus 1 for a massive mimo system according to the present invention includes:
a receiving module 11, configured to receive a probe signal;
a building module 12, configured to build a correlation matrix of the data stream according to the detection signal;
and the processing module 13 is configured to calculate inter-stream interference according to the correlation matrix.
In some embodiments, the constructing module 12 in the foregoing embodiments is configured to perform channel estimation on the probe signal to obtain a channel response, calculate a correlation coefficient according to the channel response, and construct a correlation matrix according to the correlation coefficient.
In some embodiments, the building block 12 in the above embodiments is specifically configured to perform channel estimation on the sounding signal to obtain a channel response
Calculating the correlation coefficients of the flow k1 and the flow k2 to construct a correlation matrix C with the dimension of N × N, wherein k of the correlation matrix C1k2The element is a value; wherein k is a stream number index, M is an antenna index, p is a carrier index, N is a stream number, M is a total number of antennas,p is the total number of carriers.
In some embodiments, the processing module 13 in the foregoing embodiments is configured to calculate a channel matrix according to the correlation matrix, obtain a forming matrix through the channel matrix, and calculate inter-stream interference according to the channel matrix and the forming matrix.
In some embodiments, the processing module 13 in the above embodiments includes a first processing sub-module, configured to perform Cholesky decomposition on the correlation matrix C to obtain a matrix U-chol (C), construct a random matrix R with a dimension P × N, and multiply and calculate the random matrix R and the matrix U according to H-RU to obtain a channel matrix H, and a second processing sub-module, configured to perform conjugate transpose on the channel matrix H to obtain the matrix H*According to formula (B) ═ H*H)-1H*And calculating to obtain a forming matrix B.
In some embodiments, the processing module 13 in the above embodiments further includes: a third processing submodule for processing according to
Calculating a signal-to-noise ratio; according to
Calculating the number of streams N1Increase to N2Resulting in inter-stream interference of which PkIs the power of the kth stream, PjIs the power of the jth stream, BkFor the k column vector, H, of the forming matrix BkIs the k column vector of the channel matrix H, BjAs the j-th column vector, H, of the forming matrix BjIs the jth column vector of the channel matrix Hj, 0<j, k is less than or equal to N, N is the number of streams, N0Is the receiver side noise floor.
Correspondingly, the invention also provides a communication system, wherein the large-scale multiple-input multiple-output system in the communication system comprises a base station, and the base station is provided with the inter-stream interference calculation device provided by the invention.
Second embodiment:
fig. 2 is a flowchart of an inter-stream interference calculation method according to a second embodiment of the present invention, and as can be seen from fig. 2, in this embodiment, the inter-stream interference calculation method for a mimo system according to the present invention includes the following steps:
s201: receiving a detection signal;
s202: constructing a correlation matrix of the data stream according to the detection signal;
s203: inter-stream interference is calculated from the correlation matrix.
In some embodiments, the constructing the correlation matrix of the data stream according to the detection signal in the above embodiments includes: and performing channel estimation on the detection signal to obtain channel response, calculating a correlation coefficient according to the channel response, and constructing a correlation matrix according to the correlation coefficient.
In some embodiments, the channel estimation of the sounding signal in the above embodiments is based on
Calculating the correlation coefficients of the flow k1 and the flow k2 to construct a correlation matrix C with the dimension of N × N, wherein k of the correlation matrix C1k2The element is a value; wherein k is the stream number index, M is the antenna index, P is the carrier index, N is the stream number, M is the total number of antennas, and P is the total number of carriers.
In some embodiments, the calculating the inter-stream interference according to the correlation matrix in the above embodiments includes: and calculating a channel matrix according to the correlation matrix, acquiring a forming matrix through the channel matrix, and calculating inter-stream interference according to the channel matrix and the forming matrix.
In some embodiments, the calculating the channel matrix according to the correlation matrix in the embodiments includes performing Cholesky decomposition on the correlation matrix C to obtain a matrix U-chol (C), constructing a random matrix R with a dimension P × N, and performing multiplication calculation on the random matrix R and the matrix U according to H-RU to obtain the channel matrix, and the obtaining the forming matrix through the channel matrix includes performing conjugate transpose on the channel matrix H to obtain the matrix H*According to formula (B) ═ H*H)-1H*And calculating to obtain a forming matrix B.
In some embodiments, the calculating the inter-stream interference according to the channel matrix and the forming matrix in the above embodiments includes: according to
Calculating a signal-to-noise ratio; according to
Calculating the number of streams N1Increase to N2Resulting inter-stream interference
Wherein, PkIs the power of the kth stream, PjIs the power of the jth stream, BkFor the k column vector, H, of the forming matrix BkIs the k column vector of the channel matrix H, BjAs the j-th column vector, H, of the forming matrix BjIs the jth column vector of the channel matrix Hj, 0<j, k is less than or equal to N, N is the number of streams, N0Is the receiver side noise floor.
The third embodiment:
fig. 3 is a flowchart of a method for calculating inter-stream interference according to a third embodiment of the present invention, and as can be seen from fig. 3, in this embodiment, the method for calculating inter-stream interference according to the present invention includes the following steps:
s301: and the base station acquires a correlation matrix C of the data stream according to the uplink detection signal.
The method comprises the following steps:
the base station obtains the detection signal sent by the terminal, and carries out channel estimation on the detection signal to obtain channel response
Wherein k denotes a stream number index, m denotes an antenna index, and p denotes a carrier index;
the correlation coefficients for streams k1 and k2 were calculated by:
according to
Constructing the following dimension N × N correlation matrix as C:
s302: the channel matrix H is obtained by Cholesky decomposition of the correlation matrix C.
Performing Cholesky decomposition on the correlation matrix C obtained in the step S301 to obtain a matrix U which is chol (C), wherein the dimension of the matrix U is N × N;
random data with mean 0 and variance 1 can be obtained by randn, constructing a random matrix R with dimension P × N as follows:
and multiplying the random matrix R and the matrix U to obtain a channel matrix H-RU.
S303: and obtaining a forming matrix B through decorrelation of the channel matrix H.
The forming matrix B is transformed into B ═ (H) through a channel matrix H as follows*H)-1H*Where denotes the matrix conjugate transpose.
S304: calculating inter-stream interference according to channel matrix H and forming matrix B
The channel model may be represented as Yk＝HkX+WkWherein Y iskIs a reception signal of the k-th stream, HkIs the channel response of the kth stream, X is the transmitted signal, WkIs the receiving end noise;
assume that the shaped vector of the k-th stream is BkThen the transmit signal is:
wherein xkFor the transmitted data of the k-th stream, HkIs the k column vector of the channel matrix H, BkAs a shaped matrixB a kth column vector;
substituting the above equation into the channel model, the kth stream receiving expression can be obtained as follows:
then the signal-to-noise ratio SINR for the signal with the number of streams NNCan be calculated according to the following formula:
and can further be based on
Calculating the number of streams N1Increase to N2Resulting inter-stream interference
In particular, the method comprises the following steps of,
will be provided with
In (1) replacing the value of N with N1And N2It is possible to obtain:
then it is determined that,
s305: and scheduling the terminal according to the inter-stream interference.
And the base station reports the inter-stream interference result to a high layer for use by a high-layer scheduling terminal.
In summary, the implementation of the present invention has at least the following advantages:
the correlation matrix of the data stream is constructed according to the detection signal sent by the terminal, the inter-stream interference is calculated according to the correlation matrix, the correlation coefficient in the correlation matrix obtained by calculation according to the detection signal is not influenced by external factors, and the precision of the correlation coefficient is higher; meanwhile, inter-flow interference is calculated according to the correlation matrix, and compared with the existing mode that the inter-flow interference needs to be quantitatively obtained at the terminal according to an SINR calculation formula, the method is small in calculation amount and simple in process;
furthermore, the inter-flow interference calculation device can be arranged in a base station, so that the implementation cost is reduced.
The above embodiments are only examples of the present invention, and are not intended to limit the present invention in any way, and any simple modification, equivalent change, combination or modification made by the technical essence of the present invention to the above embodiments still fall within the protection scope of the technical solution of the present invention.
Claims (11)
1. An inter-stream interference calculation method for a large-scale multiple-input multiple-output system is characterized by comprising the following steps:
receiving a detection signal;
constructing a correlation matrix of a data stream according to the detection signal;
and calculating a channel matrix according to the correlation matrix, acquiring a forming matrix through the channel matrix, and calculating inter-stream interference according to the channel matrix and the forming matrix.
2. The method of claim 1, wherein constructing a correlation matrix for a data stream based on the probe signal comprises: and performing channel estimation on the detection signal to obtain channel response, calculating a correlation coefficient according to the channel response, and constructing a correlation matrix according to the correlation coefficient.
3. The inter-stream interference calculation method of claim 2,
performing channel estimation on the sounding signal to obtain a channel response
According to
Calculating the correlation coefficient of the flow k1 and the flow k2
Constructing a correlation matrix C with dimension N × N, k of the correlation matrix C1k2The elements are as
A value;
wherein k is the stream number index, M is the antenna index, P is the carrier index, N is the stream number, M is the total number of antennas, and P is the total number of carriers.
4. The inter-stream interference calculation method according to any one of claims 1 to 3,
performing Cholesky decomposition on a correlation matrix C to obtain a matrix U (chol) (C), constructing a random matrix R with a dimension P × N, and multiplying the random matrix R and the matrix U according to H (RU) to obtain a channel matrix H;
obtaining the forming matrix through the channel matrix comprises: performing conjugate transpose on the channel matrix H to obtain a matrix H*According to formula (B) ═ H*H)-1H*And calculating to obtain a forming matrix B.
5. The inter-stream interference calculation method of any one of claims 1-3, wherein calculating inter-stream interference from the channel matrix and the forming matrix comprises:
according to
Calculating a signal-to-noise ratio;
according to
Calculating the number of streams N1Increase to N2Resulting inter-stream interference
Wherein, PkIs the power of the kth stream, PjIs the power of the jth stream, BkFor the k column vector, H, of the forming matrix BkIs the k column vector of the channel matrix H, BjAs the j-th column vector, H, of the forming matrix BjIs the jth column vector of the channel matrix H, j is more than 0, k is less than or equal to N, N is the number of streams, N is0Is the receiver side noise floor.
6. An apparatus for inter-stream interference calculation in a massive multiple-input multiple-output (MIMO) system, comprising:
a receiving module, configured to receive a probe signal;
the construction module is used for constructing a correlation matrix of the data stream according to the detection signal;
and the processing module is used for calculating a channel matrix according to the correlation matrix, acquiring a forming matrix through the channel matrix and calculating the inter-stream interference according to the channel matrix and the forming matrix.
7. The inter-stream interference calculation apparatus of claim 6, wherein the construction module is configured to perform channel estimation on the sounding signal to obtain a channel response, calculate a correlation coefficient according to the channel response, and construct a correlation matrix according to the correlation coefficient.
8. The method of claim 7The inter-stream interference calculating device of (1), wherein the constructing module is specifically configured to perform channel estimation on the probe signal to obtain a channel response
According to
Calculating the correlation coefficient of the flow k1 and the flow k2
Constructing a correlation matrix C with dimension N × N, k of the correlation matrix C1k2The elements are as
A value; wherein k is the stream number index, M is the antenna index, P is the carrier index, N is the stream number, M is the total number of antennas, and P is the total number of carriers.
9. The inter-stream interference calculation apparatus of any one of claims 6-8, wherein the processing module comprises:
the first processing submodule is used for performing Cholesky decomposition on the correlation matrix C to obtain a matrix U (chol) (C), constructing a random matrix R with a dimension P × N, and multiplying the random matrix R and the matrix U according to H (RU) to obtain a channel matrix H;
a second processing submodule, configured to perform conjugate transpose on the channel matrix H to obtain a matrix H*According to formula (B) ═ H*H)-1H*And calculating to obtain a forming matrix B.
10. The inter-stream interference calculation apparatus of any one of claims 6-8, wherein the processing module further comprises: a third processing submodule for processing according to
Calculating a signal-to-noise ratio; according to
Calculating the number of streams N1Increase to N2Resulting inter-stream interference
Wherein, PkIs the power of the kth stream, PjIs the power of the jth stream, BkFor the k column vector, H, of the forming matrix BkIs the k column vector of the channel matrix H, BjAs the j-th column vector, H, of the forming matrix BjIs the jth column vector of the channel matrix H, j is more than 0, k is less than or equal to N, N is the number of streams, N is0Is the receiver side noise floor.
11. A communication system, wherein a massive multiple input multiple output system in the communication system comprises a base station, and the base station is provided with the inter-stream interference calculation apparatus according to any one of claims 6 to 10.
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