CN115051765B

CN115051765B - Method and related device for acquiring angle antenna combination quality relation table

Info

Publication number: CN115051765B
Application number: CN202110253737.4A
Authority: CN
Inventors: 王琪; 杜振国; 王洁; 王洪玉
Original assignee: Dalian University of Technology; Huawei Technologies Co Ltd
Current assignee: Dalian University of Technology; Huawei Technologies Co Ltd
Priority date: 2021-03-09
Filing date: 2021-03-09
Publication date: 2023-09-01
Anticipated expiration: 2041-03-09
Also published as: CN115051765A

Abstract

The application provides a method for acquiring an angle antenna combination quality relation table, which comprises the following steps: acquiring complex channel state information of each antenna unit in each antenna combination in L antenna combinations on each subcarrier in K subcarriers according to each incidence direction angle in M incidence direction angles of a transmitting end; combining complex channel state information of all antenna units in each antenna combination corresponding to each incident direction angle on each subcarrier to obtain signal-to-noise ratio information of each antenna combination corresponding to each incident direction angle under each subcarrier; determining a combined equivalent signal-to-noise ratio of each antenna combination corresponding to each incident direction angle according to the signal-to-noise ratio information of each antenna combination corresponding to each incident direction angle under each subcarrier; and determining an angle antenna combination quality relation table according to the combined signal-to-noise ratio information of each antenna combination corresponding to each incident direction angle. The technical scheme can reduce the time overhead of antenna combination selection.

Description

Method and related device for acquiring angle antenna combination quality relation table

Technical Field

The present application relates to the field of wireless communications technologies, and in particular, to a method and a related device for obtaining an angle antenna combination quality relationship table.

Background

A multiple-input multiple-output (multiple input multiple output, MIMO) system improves channel capacity and transmission reliability without increasing bandwidth by configuring multiple antennas at a receiving end to obtain diversity gain and multiplexing gain. Also, MIMO technology is often used in communication systems today, and a plurality of transmit antennas and receive antennas are used to transmit a plurality of signal streams (signal streams) independent of each other.

However, as the number of antennas increases, the horizontal and vertical spacing between different antennas may be compressed in a limited space, the correlation between antennas is enhanced, signals between different channels are easily interfered, and the time overhead during antenna combination selection is also increased, so that selecting an appropriate antenna combination becomes a key problem in the wireless communication field, especially in a large-scale MIMO system.

In order to reduce the time overhead of antenna combination selection, a method for realizing antenna selection by means of an angle antenna combination quality relation table is proposed in the art. Specifically: the method can evaluate the channel quality of each antenna combination in each incident direction angle direction based on the offline measurement information, and generate an angle antenna combination quality relation table containing incident direction angles, antenna combinations and channel quality mapping relations according to the evaluation result, so that when the antenna combination selection is performed online, the angle antenna combination quality relation table can be directly and rapidly searched according to the estimated incident direction angle information to obtain proper antenna combinations.

Generally, when an angular antenna combination quality relation table is generated, the more reasonable the measurement index for measuring the channel quality of each antenna combination at each incident direction angle is, the more likely the antenna combination is selected to be more suitable when the antenna combination is selected by using the angular antenna combination quality relation table. Therefore, how to construct a reliable and effective angle antenna combination quality relation table is a technical problem to be solved urgently in the prior art.

Disclosure of Invention

The application provides a method and a related device for acquiring an angle antenna combination quality relation table, which construct an effective and reliable angle antenna combination quality relation table by calculating the equivalent signal to noise ratio of channel quality measurement index combination, so as to reduce the time cost of antenna combination selection, improve the communication quality and improve the system performance.

In a first aspect, the present application provides a method for obtaining an angular antenna combination quality relation table, where the angular antenna combination quality relation table is applied to a multi-antenna multi-carrier system, the multi-antenna multi-carrier system includes R radio frequency channels, each of the R radio frequency channels has K subcarriers, the R radio frequency channels correspond to L antenna combinations, R, K and L are positive integers, and the method includes: for each incidence direction angle of M incidence direction angles of a transmitting end, acquiring complex channel state information of each antenna unit in each antenna combination in the L antenna combinations on each subcarrier in the K subcarriers, wherein M is a positive integer; combining complex channel state information of all antenna units in each antenna combination corresponding to each incident direction angle on each subcarrier according to a maximum ratio combining criterion to obtain signal-to-noise ratio information of each antenna combination corresponding to each incident direction angle under each subcarrier; determining a combined equivalent signal-to-noise ratio of each antenna combination corresponding to each incident direction angle according to the signal-to-noise ratio information of each antenna combination corresponding to each incident direction angle under each subcarrier; and determining the angle antenna combination quality relation table according to the combined signal-to-noise ratio information of each antenna combination corresponding to each incident direction angle, wherein the angle antenna combination quality relation table comprises channel quality measurement indexes of each antenna combination in the L antenna combinations corresponding to each incident direction angle in the M incident direction angles.

In the method, a new index combination equivalent signal-to-noise ratio for measuring the channel quality is provided, the difficult problem of how to measure the channel quality of each antenna combination reliably and effectively in a multi-antenna multi-carrier system is solved, an angle antenna combination quality relation table is constructed by using the index, the time cost of antenna combination selection is reduced, and technical support is provided for antenna combination selection.

With reference to the first aspect, in a first possible implementation manner, the determining, according to the signal-to-noise ratio information of each antenna combination corresponding to each incident direction angle under each subcarrier, a combined equivalent signal-to-noise ratio of each antenna combination corresponding to each incident direction angle includes: determining the error rate of each antenna combination corresponding to each incident direction angle under each subcarrier according to the mapping relation between the signal-to-noise ratio and the error rate and the signal-to-noise ratio information of each antenna combination corresponding to each incident direction angle under each subcarrier; calculating the average value of the error rates of each antenna combination corresponding to each incident direction angle under all subcarriers in the K subcarriers; and determining the combined equivalent signal-to-noise ratio of each antenna combination corresponding to each incident direction angle according to the reflection relation of the signal-to-noise ratio to the error rate and the error rate average value.

In the implementation mode, the signal-to-noise ratio information of each carrier is fused and processed by using the relation function of the error rate and the signal-to-noise ratio, a measurement index for measuring the combined equivalent signal-to-noise ratio of the channel quality of the multi-antenna and multi-carrier system is constructed, and the index for measuring the transmission capacity of the channel solves the problem that the traditional signal-to-noise ratio index SNR can only be applied to a single-antenna narrow-band wireless communication system.

With reference to the first possible implementation manner, in a second possible implementation manner, the method further includes: acquiring packet loss rate of each antenna combination according to each incident direction angle; the determining the angle antenna combination quality relation table according to the combination signal-to-noise ratio information of each antenna combination corresponding to each incident direction angle comprises the following steps: according to the packet loss rate of each antenna combination corresponding to each incident direction angle, selecting N antenna combinations from L antenna combinations corresponding to each incident direction angle as candidate antenna combinations corresponding to each incident direction angle, wherein the packet loss rate of each candidate antenna combination corresponding to each incident direction angle is smaller than the packet loss rate of other antenna combinations corresponding to each incident direction angle in the L antenna combinations, and N is a positive integer smaller than or equal to L; and determining the angle antenna combination quality relation table according to the combination signal-to-noise ratio information of each alternative antenna combination corresponding to each incident direction angle.

In the implementation mode, when the angle antenna combination quality relation table is constructed, not only the combination equivalent signal-to-noise ratio index for measuring the channel transmission capacity is considered, but also the packet loss rate index for considering the channel transmission quality is introduced, the low transmission quality antenna combination with the packet loss rate larger than the threshold value is removed by utilizing the packet loss rate index, the alternative antenna combination is ensured to have higher transmission quality, and the problem that the antenna combination quality in the constructed angle antenna quality relation table is poor due to the fact that only a single channel quality measurement index can be considered in the prior art is solved.

With reference to the second possible implementation manner, in a third possible implementation manner, according to the packet loss rate of each antenna combination corresponding to each incident direction angle, selecting N antenna combinations from the L antenna combinations corresponding to each incident direction angle as candidate antenna combinations corresponding to each incident direction angle, where the selecting includes: s antenna combinations with the packet loss rate smaller than or equal to a packet loss rate threshold value in the L antenna combinations corresponding to each incident direction angle are obtained to be used as S initial antenna combinations corresponding to each incident direction angle; sequencing the S initial antenna combinations corresponding to each incident direction angle according to the sequence from small to large of the equivalent combined signal-to-noise ratio; when S is equal to N, S initial antenna combinations corresponding to each incident direction angle are used as N alternative antenna combinations corresponding to each incident direction angle; and when S is smaller than N, sequencing the S initial antenna combinations corresponding to each incident direction angle and other N-S antenna combinations according to the sequence from the small equivalent combined signal to noise ratio to the large equivalent combined signal to noise ratio to obtain N alternative antenna combinations corresponding to each incident direction angle, wherein the other N-S antenna combinations comprise one or more antenna combinations in the S initial antenna combinations.

With reference to the third possible implementation manner, in a fourth possible implementation manner, the N-S additional antenna combinations are the same, and are antenna combinations with the maximum equivalent combined signal-to-noise ratio among the S initial antenna combinations.

In the implementation manner, when the alternative antenna combination is insufficient, the antenna combination with the maximum combined equivalent signal-to-noise ratio is selected for filling, so that the alternative antenna combination in the antenna combination quality relation table can be kept optimal.

In a second aspect, the present application proposes a method for selecting an antenna combination, the method comprising: acquiring a target incident direction angle; and selecting a target antenna combination from a target angle antenna quality relation table according to the target incidence direction angle, wherein the target angle antenna quality relation table is an angle antenna quality relation table acquired by using the method according to the first aspect or any one possible implementation manner of the first aspect.

In a third aspect, the present application provides a device for obtaining an angular antenna combination quality relation table, where the angular antenna combination quality relation table is applied to a multi-antenna multi-carrier system, where the multi-antenna multi-carrier system includes R radio frequency channels, each of the R radio frequency channels has K subcarriers, the R radio frequency channels correspond to L antenna combinations, R, K and L are positive integers, and the device includes: the acquisition module is used for acquiring the complex channel state information of each antenna unit in each antenna combination in the L antenna combinations on each subcarrier in the K subcarriers according to each incidence direction angle in M incidence direction angles of a transmitting end, wherein M is a positive integer; the combining module is used for combining the complex channel state information of all antenna units in each antenna combination corresponding to each incident direction angle on each subcarrier according to a maximum ratio combining criterion to obtain the signal-to-noise ratio information of each antenna combination corresponding to each incident direction angle under each subcarrier; a determining module, configured to determine a combined equivalent signal-to-noise ratio of each antenna combination corresponding to each incident direction angle according to the signal-to-noise ratio information of each antenna combination corresponding to each incident direction angle under each subcarrier; the determining module is further configured to determine the angular antenna combination quality relation table according to the combined signal-to-noise ratio information of each antenna combination corresponding to each incident direction angle, where the angular antenna combination quality relation table includes channel quality metrics of each antenna combination of the L antenna combinations corresponding to each incident direction angle of the M incident direction angles.

With reference to the third aspect, in a first possible implementation manner, the determining module is specifically configured to: determining the error rate of each antenna combination corresponding to each incident direction angle under each subcarrier according to the mapping relation between the signal-to-noise ratio and the error rate and the signal-to-noise ratio information of each antenna combination corresponding to each incident direction angle under each subcarrier; calculating the average value of the error rates of each antenna combination corresponding to each incident direction angle under all subcarriers in the K subcarriers; and determining the combined equivalent signal-to-noise ratio of each antenna combination corresponding to each incident direction angle according to the reflection relation of the signal-to-noise ratio to the error rate and the error rate average value.

With reference to the first possible implementation manner, in a second possible implementation manner, the apparatus further includes a selection module configured to: acquiring packet loss rate of each antenna combination according to each incident direction angle; the determining the angle antenna combination quality relation table according to the combination signal-to-noise ratio information of each antenna combination corresponding to each incident direction angle comprises the following steps: according to the packet loss rate of each antenna combination corresponding to each incident direction angle, selecting N antenna combinations from L antenna combinations corresponding to each incident direction angle as candidate antenna combinations corresponding to each incident direction angle, wherein the packet loss rate of each candidate antenna combination corresponding to each incident direction angle is smaller than the packet loss rate of other antenna combinations corresponding to each incident direction angle in the L antenna combinations, and N is a positive integer smaller than or equal to L; and determining the angle antenna combination quality relation table according to the combination signal-to-noise ratio information of each alternative antenna combination corresponding to each incident direction angle.

With reference to the second possible implementation manner, in a third possible implementation manner, the selecting module is specifically configured to: s antenna combinations with the packet loss rate smaller than or equal to a packet loss rate threshold value in the L antenna combinations corresponding to each incident direction angle are obtained to be used as S initial antenna combinations corresponding to each incident direction angle; sequencing the S initial antenna combinations corresponding to each incident direction angle according to the sequence from small to large of the equivalent combined signal-to-noise ratio; when S is equal to N, S initial antenna combinations corresponding to each incident direction angle are used as N alternative antenna combinations corresponding to each incident direction angle; and when S is smaller than N, sequencing the S initial antenna combinations corresponding to each incident direction angle and other N-S antenna combinations according to the sequence from the small equivalent combined signal to noise ratio to the large equivalent combined signal to noise ratio to obtain N alternative antenna combinations corresponding to each incident direction angle, wherein the other N-S antenna combinations comprise one or more antenna combinations in the S initial antenna combinations.

In a fourth aspect, the present application proposes a selection device of antenna combinations, the device comprising: the acquisition module is used for acquiring a target incidence direction angle; a selection module, configured to select a target antenna combination from a target angular antenna quality relation table according to the target incident direction angle, where the target angular antenna quality relation table is an angular antenna quality relation table obtained by using the method according to the first aspect or any one of possible implementation manners of the first aspect.

In a fifth aspect, the present application provides a chip comprising at least one processor and a communication interface, the communication interface and the at least one processor being interconnected by a wire, the at least one processor being adapted to run a computer program or instructions to perform a method as described in the first aspect or any one of the possible implementations thereof.

In a sixth aspect, the application provides a computer readable medium storing program code for execution by a device, the program code comprising instructions for performing the method of the first aspect or any one of the possible implementations thereof.

In a seventh aspect, the present application provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method according to the first aspect or any one of the possible implementations thereof.

In an eighth aspect, the present application provides a computing device comprising at least one processor and a communication interface, the communication interface and the at least one processor being interconnected by a line, the communication interface being in communication with a target system, the at least one processor being operable to execute a computer program or instructions to perform a method as described in the first aspect or any one of the possible implementations thereof.

Drawings

FIG. 1 is a schematic architecture diagram of one embodiment of the present application;

FIG. 2 is an exemplary flow chart of a method of obtaining a table of angle antenna combination quality relationships in accordance with one embodiment of the present application;

FIG. 3 is a schematic diagram of an angular antenna combination quality relationship table according to an embodiment of the present application;

FIG. 4 is a schematic diagram of an angular antenna combination quality relationship table according to an embodiment of the present application;

FIG. 5 is a diagram of a receiver system layout according to one embodiment of the present application;

FIG. 6 is an exemplary flow chart of a method of obtaining a table of angle antenna combination quality relationships according to another embodiment of the application;

FIG. 7 is a diagram showing a table of initial angle antenna combination quality relationships according to another embodiment of the present application;

FIG. 8 is a diagram showing a quality relationship table of an angle antenna combination according to another embodiment of the present application;

Fig. 9 is an exemplary flow chart of a method of selecting antenna combinations in accordance with one embodiment of the present application;

fig. 10 is a schematic structural diagram of an apparatus for obtaining a quality relationship table of angle antenna combinations according to an embodiment of the present application;

fig. 11 is a schematic structural diagram of a selecting device for antenna combination according to an embodiment of the present application;

fig. 12 is a schematic structural diagram of an apparatus for obtaining a quality relationship table of angle antenna combinations according to another embodiment of the present application.

Detailed Description

In order to better describe embodiments of the present application, some concepts of the embodiments of the present application are described below.

MIMO technology refers to the use of multiple transmitting and receiving antennas at a transmitting end and a receiving end, respectively, so that signals are transmitted and received through the multiple antennas at the transmitting end and the receiving end, thereby improving communication quality. The system can fully utilize space resources, realize multiple transmission and multiple reception through a plurality of antennas, can doubly improve the system channel capacity under the condition of not increasing frequency spectrum resources and antenna transmitting power, shows obvious advantages and is regarded as a core technology of next generation mobile communication.

Bit Error Rate (BER) is an index for measuring the accuracy of data transmission within a specified time, and can be used to measure the channel transmission quality. Error codes are generated because, during signal transmission, decay changes the voltage of the signal, causing the signal to be destroyed during transmission, thereby generating error codes. Noise, pulses caused by alternating current or lightning, transmission equipment failures, and other factors can all lead to bit errors (e.g., a transmitted signal is 1 and received is 0; and vice versa). The BER calculating method is direct, and the BER can be measured by sending more data packets. For example, the transmitter continuously transmits m data packets, the receiver can obtain the number m1 of the lost data packets according to the number of the received data packets, and count the data bits of the transmitted data packets and the data bits of the lost data packets, and divide the data bits of the lost data packets by the data bits of the transmitted data packets to obtain BER.

Packet loss rate (packet error rate, PER) refers to the ratio of the number of packets lost to the number of packets transmitted during testing, and can be used to measure the channel quality of the channel transmission, typically during testing in the throughput range. The packet loss rate is related to the packet length and the packet transmission frequency. Generally, when the flow rate of the gigabit network card is more than 200Mbps, the packet loss rate is less than five parts per million; when the flow is greater than 60Mbps, the packet loss rate of the hundred megacard is less than one ten thousandth. The method for calculating the PER is also direct, and the PER can be measured by sending more data packets. For example, the transmitter continuously transmits m data packets, the receiver can obtain the number m1 of lost data packets according to the number of received data packets, and the number m1/m of lost data packets divided by the number m1/m of transmitted data packets is the packet loss rate PER.

The signal-to-noise ratio (signal to noise ratio, SNR) refers to the ratio of signal to noise in an electronic device or electronic system, and is a technical indicator for measuring the transmission capability of a channel, where a signal refers to an electronic signal from outside the device that needs to be processed by the device, noise refers to an irregular additional signal (or information) that is not present in an original signal generated after the signal passes through the device, and the signal does not change with the change of the original signal. The SNR-based method can evaluate the channel quality by measuring only a small number of data packets, and is convenient for calculation, and the existing SNR calculation method is generally based on the sequence calculation of received signal strength (received signal strength, RSS) of the received signal within a continuous period of time, calculates the signal power according to the average value thereof, calculates the noise power according to the variance thereof, and further calculates the SNR for measuring the channel transmission capacity. For example, assume that the received signal RSS sequence has a mean of μ and a variance of σ ² Then the SNR is μ ² /σ ² 。

The combined equivalent signal-to-noise ratio (combined equivalent signal to noise ratio, CESNR) is a measurement index for measuring the channel quality of a multi-antenna and multi-carrier system, which is obtained by utilizing the maximum combination criterion to fusion process the SNR of each antenna and utilizing the relation function fusion process of BER and SNR to fusion process the SNR of each carrier, and can solve the channel SNR measurement problem in the multi-antenna and multi-carrier system.

Those skilled in the art can understand that the method provided by the embodiment of the application can be applied to a communication equipment receiving scene with multi-antenna receiving function such as Wifi or cellular. Fig. 1 is a schematic diagram of a system architecture in this scenario, where the architecture includes a communication device 100, and the communication device 100 may be a User Equipment (UE), or a radio access network device.

The user equipment may also be referred to as a terminal, a terminal device, a mobile terminal, or the like. The user equipment may be a mobile phone, a tablet computer, a computer with a wireless transceiving function, a virtual reality terminal device, an augmented reality terminal device, a wireless terminal in industrial control, a wireless terminal in unmanned operation, a wireless terminal in teleoperation, a wireless terminal in smart grid, a wireless terminal in transportation security, a wireless terminal in smart city, a wireless terminal in smart home, etc. The embodiment of the application does not limit the specific technology and the specific equipment form adopted by the terminal equipment.

The radio access network device may be a base station (base station), an evolved NodeB (eNodeB), a transmission and reception point (transmission reception point, TRP), a next generation NodeB (gNB) in a 5G mobile communication system, a base station in a future mobile communication system, or an access node in a WiFi system, etc.; the present application may also be a module or unit that performs a function of a base station part, for example, a Central Unit (CU) or a Distributed Unit (DU). The embodiment of the application does not limit the specific technology and the specific equipment form adopted by the wireless access network equipment. In the present application, the radio access network device is simply referred to as a network device, and if no special description is given, the network devices are all referred to as radio access network devices.

As shown in fig. 1, communication device 100 may include at least one or more transceivers 101, one or more processors 102, one or more memories 103, and a plurality of antennas 104. The processor 102 is connected with the transceiver 101 and the memory 103 through buses so as to realize data exchange; the transceiver 101 is connected to an antenna 104.

The memory 103 is used for storing relevant program instructions. The processor 102 may execute instructions in the memory 103 and control the transceiver 101 to select an appropriate antenna combination from the plurality of antennas 104 to transmit and receive signals.

One way of selecting an antenna combination is by means of an angular antenna combination quality relation table. Specifically, the channel quality of each antenna combination in each AOA direction is evaluated based on off-line measurement information, and an angle antenna combination quality relation table containing an incidence direction angle, an antenna combination and a channel quality mapping relation is generated according to an evaluation result, so that when antenna combination selection is performed on line, the angle antenna combination quality relation table can be directly and quickly searched according to the estimated AOA information to obtain proper antenna combinations.

The antenna combination selection method based on the angle antenna combination quality relation table obviously reduces the time overhead of antenna combination selection and meets the requirement of a large-scale MIMO system on antenna combination selection. Therefore, the establishment of a reliable and effective angular antenna combination quality relation table is the core for determining the quality of antenna combination selection performance based on the table. Since the angular antenna combination quality relation table stores antenna combinations having excellent channel quality in each AOA direction, how to design reliable and efficient channel quality metric indicators becomes a key to determine the quality of the angular antenna combination quality relation table.

The channel quality measurement indexes include BER, PER, SNR, wherein BER and PER indexes can measure the channel transmission quality, but a lot of calculation time is required; SNR can be a good measure of channel transmission capacity, but currently there are only methods to calculate SNR for single antenna narrowband wireless systems.

In view of the above problems, the embodiments of the present application provide a new channel quality metric, CESNR, which is obtained by using a maximum combining criterion to process each antenna SNR and using a relationship function of BER and SNR to process each carrier SNR, and can be used to measure the channel transmission capability of a multi-antenna multi-carrier system, and further use the index to construct an effective and reliable quality relationship table of angle antenna combination, thereby providing technical support for antenna combination selection.

Further, considering that the channel transmission capability and the channel transmission quality are two dimensions for measuring the channel quality, for a multi-antenna multi-carrier system, it is difficult to measure the channel quality from only one dimension, and the situation that the channel transmission capability is strong but the transmission quality is poor often occurs, that is, the true channel quality cannot be judged when the channel is measured from only one dimension, so that the quality of each antenna combination cannot be objectively measured by an angle antenna combination quality relation table constructed based on a certain measurement index, and then the antenna combination with high quality cannot be selected.

Therefore, the application uses PER to measure the channel transmission quality, further optimizes the angle antenna combination quality relation table, and is specific: firstly, an initial angle antenna combination quality relation table is constructed by using CESNR, then, filtering processing is carried out on the table by using PER, and antenna combinations with higher PER are removed, so that a reliable and effective angle antenna combination quality relation table is further constructed, and therefore, when antennas are selected, the time cost of antenna combination selection can be reduced, the communication quality is improved, and the system performance is improved.

The technical scheme of the application is described in detail through specific embodiments.

Fig. 2 is an exemplary flow chart of a method of obtaining an angle antenna combination quality relationship table in accordance with one embodiment of the present application. As shown in fig. 2, the method may include S201, S202, S203, and S204. The method of this embodiment may be applied to a terminal device including a multi-antenna multi-carrier system, where the terminal device is generally used as a signal receiving end, the multi-antenna multi-carrier system includes R radio frequency channels, where each of the R radio frequency channels has K subcarriers, the K subcarriers are used to carry different data streams and are transmitted in corresponding radio frequency channels, and the R radio frequency channels correspond to L antenna combinations, where R, K, L is a positive integer. The R radio frequency channels may be understood as receiving or transmitting signals through any one of the L antenna combinations.

S201, for each incidence direction angle of M incidence direction angles of a transmitting end, acquiring complex channel state information of each antenna unit in each antenna combination in L antenna combinations on each subcarrier in K subcarriers, wherein M is a positive integer.

It is understood that, before S201 is performed, the plane space 360 may be quantized into M angles with equal intervals, that is, M angles of incidence (AOA) are obtained.

In this embodiment, the transmitting end is sequentially disposed on each of the M AOAs. When the transmitting end is arranged on any AOA, each antenna combination in L antenna combinations is sequentially selected for R radio frequency channels of the receiving end to receive signals sent by the transmitting end, and channel state information of complex forms of each antenna unit on each subcarrier in K subcarriers in each antenna combination is measured. Specifically, the channel state information of complex forms of each antenna unit on each subcarrier in the K subcarriers in each antenna combination can be measured by a manner that a transmitting end transmits a data packet and a receiving end receives the data packet.

Illustratively, the channel state information of a complex form of 1×r formed on the kth subcarrier of the K subcarriers by the antenna combinations of the L antenna combinations may be denoted as X _k Wherein X is _k And k is a positive integer, and is a row vector.

After this step is performed, when the transmitting end is set at each AOA, K X can be measured for each antenna combination _k These K X _k Corresponds to K subcarriers one by one, and the K are X _k X of k _k Channel state information in a complex form of 1×r formed on a kth subcarrier among the K subcarriers is combined for the antenna.

S202, combining complex channel state information of all antenna units in each antenna combination corresponding to each incident direction angle on each subcarrier according to a maximum ratio combining criterion to obtain signal-to-noise ratio information of each antenna combination corresponding to each incident direction angle under each subcarrier.

The complex channel state information of all antenna units in each antenna combination corresponding to each incident direction angle on each subcarrier can be understood as: when the transmitting end is set to each incidence direction angle of the M incidence direction angles, all antenna units in each antenna combination are subjected to channel state information in the repeated form on each subcarrier.

Illustratively, for each of the M AOAs, the signal-to-noise ratio information for one antenna combination at subcarrier k can be calculated by:

wherein, the liquid crystal display device comprises a liquid crystal display device,is X _k Is a conjugate transpose of (a).

After this step is performed, when the transmitting end is set at each AOA, K SNRs can be measured for each antenna combination _k These K SNR' s _k Corresponds to K subcarriers one by one, the K SNR _k K-th SNR of (a) _k The signal to noise ratio information at a kth subcarrier of the K subcarriers is combined for the antenna.

S203, determining the combined equivalent signal-to-noise ratio of each antenna combination corresponding to each incident direction angle according to the signal-to-noise ratio information of each antenna combination corresponding to each incident direction angle under each subcarrier.

An exemplary implementation of determining a combined equivalent signal-to-noise ratio for each antenna combination corresponding to each incident direction angle includes the steps of:

step one, determining the error rate of each antenna combination corresponding to each incident direction angle under each subcarrier according to the mapping relation of the signal-to-noise ratio to the error rate and the signal-to-noise ratio information of each antenna combination corresponding to each incident direction angle under each subcarrier.

The mapping relationship between the signal-to-noise ratio and the bit error rate may be preset.

And step two, calculating the average value of the error rate of each antenna combination corresponding to each incident direction angle under all subcarriers in the K subcarriers.

And thirdly, determining the combined equivalent signal-to-noise ratio of each antenna combination corresponding to each incident direction angle according to the reflection relation from the signal-to-noise ratio to the bit error rate and the average value of the bit error rate. The mapping relation between the signal to noise ratio and the bit error rate can be obtained based on the mapping relation between the signal to noise ratio and the bit error rate.

For each of the M AOAs, the step S202 obtains the complex form of the K1 xr channel state information of any one of the L antenna combinations as X _k The channel state information X of the complex form of K1 xR _k An exemplary calculation of the combined equivalent signal to noise ratio information CESNR for the antenna combination, corresponding to K subcarriers, is as follows:

wherein B {. Cndot. } represents a mapping function of SNR to BER, B ^-1 {. The } represents the SNR to BER reflection function, E _k Representing averaging BER data for K subcarriers.

An exemplary mapping function of signal-to-noise ratio to bit error rate is as follows

Wherein Q is a standard Gaussian function.

It can be understood that the above method for calculating the CESNR of the antenna combination is merely an example, and after the error rate is calculated, the average value of the error rate corresponding to each incident direction angle of all the K subcarriers of each antenna combination may be calculated according to other manners.

In this embodiment, after this step is performed, when the transmitting end is set at each AOA, a corresponding CESNR may be calculated for each antenna combination. That is, when the transmitting end is set at each AOA, L CESNRs corresponding one by one are obtained for L antenna combinations.

S204, determining an angle antenna combination quality relation table according to the combined signal-to-noise ratio information of each antenna combination corresponding to each incident direction angle, wherein the angle antenna combination quality relation table comprises channel quality measurement indexes of each antenna combination corresponding to each incident direction angle in M incident direction angles.

In this step, the CESNR of each of the M AOA-corresponding antenna combinations is sequentially processed to obtain an angular antenna combination quality relation table.

In some implementations, the combined signal-to-noise ratio information for each antenna combination corresponding to each incident direction angle may be directly used as a channel quality metric that measures the antenna combination corresponding to the respective incident direction angle. Taking the angular antenna combination quality relation table shown in fig. 3 as an example, it can be seen from fig. 3 that the angular antenna combination quality relation table includes a value of CESNR corresponding to each of M incident direction angles for each of L antenna combinations.

In other implementations, the combined signal-to-noise ratio information of each antenna combination corresponding to each incident direction angle and other channel information of each antenna combination corresponding to each incident direction angle may be combined as a channel quality metric measuring the channel quality of the antenna combination corresponding to the corresponding incident direction angle, for specific implementations see below.

In this embodiment, the combined signal-to-noise ratio information of each antenna combination corresponding to each incident direction angle is obtained first, and then the channel quality of the antenna combination corresponding to the corresponding incident direction angle is measured based on the combined signal-to-noise ratio information of each antenna combination corresponding to each incident direction angle, so as to construct an angle relation combination quality table, thereby not only solving the problem of measuring the channel transmission capability of the multi-antenna multi-carrier system, but also providing technical support for antenna combination selection and reducing the time cost of antenna combination selection.

Further, the CESNR is found to be used for evaluating the channel transmission capability by analysis, and the channel transmission quality is not considered, so in order to further optimize the angular antenna combination quality relation table, so as to select a proper antenna combination based on the angular antenna combination quality relation table, the application further provides the following technical scheme: in constructing the angle antenna combination quality relation table, PER for evaluating channel transmission quality is comprehensively considered.

As an example, after calculating the combined signal-to-noise ratio information for each antenna combination corresponding to each incident direction angle, or the initial angular antenna combination quality relationship table as shown in fig. 3, the initial angular antenna combination quality relationship table as shown in fig. 3 may be optimized based on the PER for each antenna combination corresponding to each incident direction angle to obtain a better angular antenna combination quality relationship table.

One exemplary implementation of optimizing the initial angle antenna combination quality relationship table based on PER includes the following steps 11 through 15.

And 11, acquiring the packet loss rate of each antenna combination according to each incident direction angle.

In this step, the PER metric index of each antenna combination at each incident direction angle is measured by the manner in which the transmitting end transmits the data packet and the receiving end receives the data packet, and the index can be used to measure the channel transmission quality.

For example, the transmitter continuously transmits m data packets, the receiver may obtain the number m1 of lost data packets according to the number of received data packets, and the PER may be calculated by dividing the number of lost packets by the number m1/m of transmitted data packets.

It is understood that the measurement of the PER and CESNR indicators may use the same data packet.

Step 12, for each incident direction angle, obtaining the combined equivalent signal-to-noise ratio information CESNR of each antenna combination.

In this step, the method for obtaining the combined equivalent snr information CESNR of each antenna combination is the same as that of the foregoing embodiment, and will not be described herein.

And 13, constructing an initial angle antenna combination quality relation table according to PER and CESNR indexes.

And 14, selecting N antenna combinations from L antenna combinations corresponding to each incident direction angle as alternative antenna combinations corresponding to each incident direction angle according to the packet loss rate of each antenna combination corresponding to each incident direction angle.

The packet loss rate of each alternative antenna combination corresponding to each incident direction angle is smaller than the packet loss rate of other antenna combinations corresponding to each incident direction angle in the L antenna combinations, and N is a positive integer smaller than or equal to L.

In this step, one exemplary method of selecting N antenna combinations from the L antenna combinations corresponding to each incident direction angle may include steps 141 through 143.

Step 141, obtaining S antenna combinations with packet loss rate smaller than or equal to the packet loss rate threshold value in the L antenna combinations corresponding to each incident direction angle as S initial antenna combinations corresponding to each incident direction angle.

Wherein the threshold may be set based on historical experience.

And 142, sequencing S initial antenna combinations corresponding to each incident direction angle according to the sequence from small to large of the equivalent combined signal to noise ratio.

In this step, the S antenna combinations at each incident direction angle may be ordered by the magnitude of the CESNR value.

Step 143, if S is equal to N, using S initial antenna combinations corresponding to each incident direction angle as N candidate antenna combinations corresponding to each incident direction angle; if S is smaller than N, sequencing S initial antenna combinations corresponding to each incident direction angle and other N-S antenna combinations according to the sequence from the small equivalent combined signal to noise ratio to the large equivalent combined signal to noise ratio to obtain N alternative antenna combinations corresponding to each incident direction angle; if S is larger than N, N antenna combinations with larger CESNR values are selected from S initial antenna combinations corresponding to each incident direction angle to serve as N alternative antenna combinations corresponding to each incident direction angle.

In this step, the further N-S antenna combinations include one or more of the S initial antenna combinations, and the further N-S antenna combinations are identical and are the antenna combinations of the S initial antenna combinations having the largest equivalent combined signal-to-noise ratio, i.e. the antenna combinations having the largest CESNR values.

It should be understood that the steps 141 to 143 are only one example of selecting N candidate antenna combinations from the L antenna combinations corresponding to each incident direction angle, which is not limited in this embodiment. For example, the L antenna combinations corresponding to each incident direction angle may be ordered in order of from large to small CESNR, and then the N antenna combinations arranged in the first N bits may be obtained; if each PER corresponding to the N antenna combinations is larger than or equal to a preset value, the N antenna combinations are used as N alternative antenna combinations under the incident direction angle; if the N PER of the N antenna combinations are in one-to-one correspondence, the antenna combinations with PER values smaller than the preset value are removed, and the removed antenna combinations are filled with the antenna combination with the largest CESNR in the N antenna combinations, so that N alternative antenna combinations are completed.

And 15, constructing an angle antenna combination quality relation table according to the N alternative combinations. For example, the N candidate antenna combinations may be ordered in order of increasing CESNR to construct an angular antenna combination quality relationship table. As shown in fig. 4, each AOA in the angular antenna combination quality relationship table contains N candidate antenna combinations of high quality, and the N candidate antenna combinations are ordered in order of CESNR from high to low.

As can be seen from fig. 4, unlike the conventional channel evaluation index which considers the signal-to-noise ratio or the packet loss ratio separately, the present application simultaneously considers two parameters of the packet loss ratio and the combined equivalent signal-to-noise ratio, so that when constructing the angle antenna combined quality relation table, not only the channel transmission capability but also the channel transmission quality are considered, the disadvantage that only one of them can be considered in the prior art is improved, and then N alternative antenna combinations with better channel quality are selected.

An exemplary method for obtaining the angle antenna combination quality relation table is described below by taking a 3×3 triangular array system as an example of a mimo system at the receiving end.

Since the method of obtaining the angle antenna combination quality relation table is applied to the receiving end, an exemplary configuration of the 3×3 receiver system will be described.

The receiver system works at 2.4GHz/5GHz double frequency; each radio frequency channel is provided with 3 double-frequency antennas, wherein 1 omni-directional antenna and 2 directional antennas; the system has 3 radio frequency channels, each radio frequency channel can be connected to one antenna in the 3 antennas through a radio frequency selection switch, and in consideration of all the possibility that each radio frequency channel is connected to different antennas, 27 antenna combinations are total; the space distribution of the antennas and the radio frequency channels is shown in figure 5, the antennas 1, 2 and 3 form a linear array with the space of 6.25 cm, the antennas 4, 5 and 6 form a linear array with the space of 6.25 cm, and the antennas 7, 8 and 9 form a linear array with the space of 6.25 cm; the antennas 2, 5 and 8 form an equidistant triangular array with the interval of 62.5 cm; each radio frequency channel adopts 30 subcarriers for communication; the modulation mode adopts quadrature phase shift keying (quadrature phase shift keying, QPSK); the radio frequency selective switch has an operating frequency of 0.1 gigahertz (GHz) to 6.0GHz; the radio frequency channels 1, 2 and 3 adopt three-channel WiFi modules to form a 3-channel receiver.

In addition, before introducing the method for acquiring the angle antenna combination quality relation table, the system hardware for constructing the angle antenna combination quality relation table according to the present application is described as follows: the receiver adopts a three-channel WiFi module, and each radio frequency channel can select one of 3 antennas through a radio frequency selection switch; the transmitter adopts a WiFi module as well, only one path of radio frequency channel is enabled, and an omni-directional antenna is externally connected. The transmitter continuously transmits wireless signals at various angles with a transmission power of 10dBm, and the receiver receives the signals and acquires complex channel quality information from three-channel hardware for subsequent calculation of CESNR and PER indexes.

In the method of the embodiment, an initial angle antenna combination quality relation table is obtained by calculating CESNR and PER of 27 antenna combinations under each incidence direction angle in 360 incidence direction angles; then, the low transmission quality combination with PER more than 10% is removed by PER filtering, so that the remaining antenna combination is ensured to have higher transmission quality; and finally, sequencing the rest antenna combinations from high to low according to CESNR measurement indexes, selecting 5 antenna combinations with high transmission capacity corresponding to higher CESNR, and constructing an angle antenna combination quality relation table which comprises 5 antenna combinations corresponding to each incidence direction angle in 360 incidence direction angles.

The construction method of the angle antenna combination quality relation table is described below with reference to fig. 6. Fig. 6 is an exemplary flow chart of a method of obtaining a table of angle antenna combination quality relationships according to another embodiment of the application. As shown in fig. 6, the method may include S601, S602, S603, S604, and S605.

S601, constructing an initial angle antenna combination quality relation table with the content of 0 according to the quantitative number of the angle A0A and the number of the antenna combinations.

In this embodiment, the planar space 360 is quantized to 360 angles equally spaced, i.e., the number of AOA angle quantization is 360.

Further, according to the number of antenna combinations 27 and the number of AOA angle quantification 360, an initial angle antenna combination quality relation table with the content of 0 is constructed, and then the measured values are filled in the table.

S602, calculating CESNR for a certain antenna combination at a certain AOA angle using a maximum ratio combining criterion and a functional relation of BER and SNR based on channel state information, and measuring PER.

In this embodiment, at an AOA angle, the transmitter is placed at a direction 5 meters from the center of the 3-channel receiver antenna array at that angle, and the PER and CESNR index of a certain antenna combination of the 27 antenna combinations of the receiving terminal are measured.

For this antenna combination, the transmitter continuously transmits 500 data packets, the receiver receives these data packets, counts the number of lost data packets by using the number of data packets, and divides the number of lost data packets by 500 to obtain a PER metric; and, for each data packet, measuring the complex channel state information of 3 radio frequency channels on 30 subcarriers, calculating CESNR metric value of each data packet, and taking the average value of CESNR metric values of all data packets as CESNR metric index of the antenna combination.

S603, traversing all AOA and all antenna combinations, and constructing an initial angle antenna combination quality table by using the calculated CESNR and PER.

In this embodiment, the processing in step S602 is sequentially performed on 360 AOA angles, that is, the PER and CESNR indexes of all 27 antenna combinations of the receiving terminal under each AOA angle are measured in a traversing manner, and an initial angle antenna combination quality relation table is constructed, where each unit in the table stores CESNR and PER values, and an example of the initial angle antenna combination quality relation table is shown in fig. 7.

S604, according to CESNR and PER of each antenna combination under each AOA angle, eliminating the antenna combination with low channel transmission quality by using PER, and selecting the antenna combination with high channel transmission capability based on CESNR.

In this embodiment, based on 27 antenna combinations corresponding to each AOA angle in the initial angle antenna combination quality table, firstly, filtering the 27 antenna combinations, removing the antenna combinations with PER higher than 10% threshold, then, sorting the rest antenna combinations according to the value of its CESNR index from high to low, and selecting 5 high quality antenna combinations, which can form a row of the angle antenna combination quality relation table; if the number of antenna combinations remaining after filtering is less than 5, the highest quality antenna combination is used to fill the empty table cells.

Further, 360 AOA angles are sequentially processed, so that 5 antenna combinations which meet the channel transmission quality and the channel transmission capacity of each AOA angle are obtained.

S605, constructing an angle antenna combination quality relation table by utilizing the antenna combination with good channel transmission capacity and good channel transmission quality.

In this step, an angle antenna combination quality relation table is constructed according to 5 antenna combinations with good channel transmission capacity and good channel transmission quality corresponding to each AOA angle under 360 AOA angles obtained in step S604.

Fig. 8 is an example of an angular antenna combination quality relation table constructed in the present embodiment. The table visually shows antenna combinations with good channel transmission capability and transmission quality at any angle of incidence. For example: when the AOA is 1 degree, the antenna combination with the optimal channel quality is the antenna combination No. 20, and the channel quality is the antenna combination No. 18, the antenna combination No. 5, the antenna combination No. 8 and the antenna combination No. 10 from high to low in sequence.

It will be appreciated that some steps or operations in this embodiment may refer to the relevant content in the foregoing embodiment, and will not be described herein.

The following describes how to use the angular antenna combination quality relation table for the selection of antenna combinations. Fig. 9 is an exemplary flowchart of a method for selecting an antenna combination according to an embodiment of the present application. As shown in fig. 9, the method may include S901 and S902. The method may be performed by a receiving end of the signal.

S901, a target incident direction angle is acquired. The target incident direction angle may be understood as an incident direction angle of a channel received by the receiving end, and may be estimated or configured. The target incidence direction angle may be determined in a manner that is not limited in this embodiment, referring to the prior art.

S902, selecting a target antenna combination from a target angle antenna quality relation table according to the target incidence direction angle.

In the step, a target incident direction angle can be obtained according to S901, and a target angle antenna combination quality relation table obtained through discrete measurement can be queried online to obtain a target antenna combination for signal transmission.

For example, if the obtained target incident direction angle is 6 degrees, as can be seen from the angular antenna combination quality relationship table in fig. 8, an appropriate antenna combination of 16, 2, 4, 9, and 19 may be selected as the target antenna combination.

Fig. 10 is a schematic structural diagram of an apparatus for obtaining a quality relation table of angle antenna combination according to an embodiment of the present application. The apparatus shown in fig. 10 may be used to perform the method described in fig. 2. As shown in fig. 10, the apparatus 1000 for acquiring an angle antenna combination quality relation table according to the present embodiment may include: an acquisition module 1001, a combination module 1002 and a determination module 1003.

For example, the acquisition module 1001 may be used to perform S201, the merging module 1002 may be used to perform S202, and the determination module 1003 may be used to perform S203, S204.

Optionally, the apparatus 1000 may further include a selection module to implement the relevant functions in the method shown in fig. 2. For example, the selection module may be used to implement the selection-related functions of the method described in fig. 2.

Fig. 11 is a schematic structural diagram of a selection device for antenna combination according to an embodiment of the present application. The apparatus shown in fig. 11 may be used to perform the method described in fig. 9. As shown in fig. 11, the antenna combination selecting apparatus 1100 of the present embodiment may include: an acquisition module 1101 and a selection module 1102.

For example, the acquisition module 1101 may be used to perform S901, and the selection module 1102 may be used to perform S902.

Fig. 12 is a schematic structural diagram of an apparatus for obtaining a quality relationship table of angle antenna combinations according to another embodiment of the present application. The apparatus shown in fig. 12 may be used to perform the method of obtaining the angle antenna combination quality relation table according to any of the foregoing embodiments.

As shown in fig. 12, the apparatus 1200 of the present embodiment includes: memory 1201, processor 1202, communication interface 1203, and bus 1204. Wherein the memory 1201, the processor 1202 and the communication interface 1203 are communicatively coupled to each other via a bus 1204.

The memory 1201 may be a Read Only Memory (ROM), a static storage device, a dynamic storage device, or a random access memory (random access memory, RAM). The memory 1201 may store a program that, when executed by the processor 1202, the processor 1202 is operable to perform the various steps of the method shown in fig. 2.

The processor 1202 may employ a general-purpose central processing unit (central processing unit, CPU), microprocessor, application specific integrated circuit (application specific integrated circuit, ASIC), or one or more integrated circuits for executing associated programs to implement the methods of obtaining an angular antenna combination quality relationship table of a method embodiment of the present application.

The processor 1202 may also be an integrated circuit chip with signal processing capabilities. In implementation, the steps of the method for obtaining the angle antenna combination quality relation table according to the embodiment of the present application may be implemented by an integrated logic circuit of hardware or an instruction in software form in the processor 1202.

The processor 1202 may also be a general purpose processor, a digital signal processor (digital signal processing, DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (field programmable gate array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The steps of the method disclosed in connection with the embodiments of the present application may be embodied directly in the execution of a hardware decoding processor, or in the execution of a combination of hardware and software modules in a decoding processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in the memory 1201 and the processor 1202 reads the information in the memory 1201 and in combination with its hardware performs the functions that the unit comprised by the device for obtaining the angular antenna combination quality relation table according to the application needs to perform, for example, the steps/functions of the embodiment shown in fig. 2 can be performed.

The communication interface 1203 may enable communication between the apparatus 1200 and other devices or communication networks using, but is not limited to, a transceiver-like transceiver.

The bus 1204 may include a path to transfer information between various components of the apparatus 1200 (e.g., the memory 1201, the processor 1202, the communication interface 1203).

It should be understood that the apparatus 1200 shown in the embodiment of the present application may be an electronic device, or may be a chip configured in an electronic device.

It is to be appreciated that the processor in embodiments of the application may be a central processing unit (central processing unit, CPU), but may also be other general purpose processors, digital signal processors (digital signal processor, DSP), application specific integrated circuits (application specific integrated circuit, ASIC), off-the-shelf programmable gate arrays (field programmable gate array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

It should also be appreciated that the memory in embodiments of the present application may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The nonvolatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an electrically Erasable EPROM (EEPROM), or a flash memory. The volatile memory may be random access memory (random access memory, RAM) which acts as an external cache. By way of example but not limitation, many forms of random access memory (random access memory, RAM) are available, such as Static RAM (SRAM), dynamic Random Access Memory (DRAM), synchronous Dynamic Random Access Memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced Synchronous Dynamic Random Access Memory (ESDRAM), synchronous Link DRAM (SLDRAM), and direct memory bus RAM (DR RAM).

The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.

It should be understood that the term "and/or" is merely an association relationship describing the associated object, and means that three relationships may exist, for example, a and/or B may mean: there are three cases, a alone, a and B together, and B alone, wherein a, B may be singular or plural. In addition, the character "/" herein generally indicates that the associated object is an "or" relationship, but may also indicate an "and/or" relationship, and may be understood by referring to the context.

In the present application, "at least one" means one or more, and "a plurality" means two or more. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b, or c may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or plural.

It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.

In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a mobile hard disk, a read-only memory, a random access memory, a magnetic disk or an optical disk.

The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. The method for obtaining the angle antenna combination quality relation table is characterized in that the angle antenna combination quality relation table is applied to a multi-antenna multi-carrier system, the multi-antenna multi-carrier system comprises R radio frequency channels, each radio frequency channel in the R radio frequency channels has K subcarriers, the R radio frequency channels correspond to L antenna combinations, R, K and L are positive integers, and the method comprises the following steps:

for each incidence direction angle of M incidence direction angles of a transmitting end, acquiring complex channel state information of each antenna unit in each antenna combination in the L antenna combinations on each subcarrier in the K subcarriers, wherein M is a positive integer;

combining complex channel state information of all antenna units in each antenna combination corresponding to each incident direction angle on each subcarrier according to a maximum ratio combining criterion to obtain signal-to-noise ratio information of each antenna combination corresponding to each incident direction angle under each subcarrier;

Determining a combined equivalent signal-to-noise ratio of each antenna combination corresponding to each incident direction angle according to the signal-to-noise ratio information of each antenna combination corresponding to each incident direction angle under each subcarrier;

and determining the angle antenna combination quality relation table according to the combination equivalent signal-to-noise ratio information of each antenna combination corresponding to each incidence direction angle, wherein the angle antenna combination quality relation table comprises channel quality measurement indexes of each antenna combination in the L antenna combinations corresponding to each incidence direction angle in the M incidence direction angles.

2. The method of claim 1, wherein said determining a combined equivalent signal-to-noise ratio for each antenna combination corresponding to each incident direction angle based on signal-to-noise ratio information for each antenna combination corresponding to each incident direction angle for each subcarrier comprises:

determining the error rate of each antenna combination corresponding to each incident direction angle under each subcarrier according to the mapping relation between the signal-to-noise ratio and the error rate and the signal-to-noise ratio information of each antenna combination corresponding to each incident direction angle under each subcarrier;

Calculating the average value of the error rates of each antenna combination corresponding to each incident direction angle under all subcarriers in the K subcarriers;

and determining the combined equivalent signal-to-noise ratio of each antenna combination corresponding to each incident direction angle according to the reflection relation of the signal-to-noise ratio to the error rate and the error rate average value.

3. The method according to claim 2, wherein the method further comprises:

acquiring packet loss rate of each antenna combination according to each incident direction angle;

the determining the angle antenna combination quality relation table according to the combination equivalent signal-to-noise ratio information of each antenna combination corresponding to each incident direction angle comprises the following steps:

according to the packet loss rate of each antenna combination corresponding to each incident direction angle, selecting N antenna combinations from L antenna combinations corresponding to each incident direction angle as candidate antenna combinations corresponding to each incident direction angle, wherein the packet loss rate of each candidate antenna combination corresponding to each incident direction angle is smaller than the packet loss rate of other antenna combinations corresponding to each incident direction angle in the L antenna combinations, and N is a positive integer smaller than or equal to L;

And determining the angle antenna combination quality relation table according to the combination equivalent signal-to-noise ratio information of each alternative antenna combination corresponding to each incident direction angle.

4. The method of claim 3, wherein selecting N antenna combinations from the L antenna combinations corresponding to each incident direction angle as the candidate antenna combinations corresponding to each incident direction angle according to the packet loss rate corresponding to each incident direction angle of each antenna combination, comprises:

s antenna combinations with the packet loss rate smaller than or equal to a packet loss rate threshold value in the L antenna combinations corresponding to each incident direction angle are obtained to be used as S initial antenna combinations corresponding to each incident direction angle;

sequencing the S initial antenna combinations corresponding to each incident direction angle according to the sequence of the combined equivalent signal to noise ratio from small to large;

when S is equal to N, S initial antenna combinations corresponding to each incident direction angle are used as N alternative antenna combinations corresponding to each incident direction angle;

when S is smaller than N, sequencing S initial antenna combinations corresponding to each incident direction angle and other N-S antenna combinations according to the sequence from small to large in combined equivalent signal to noise ratio to obtain N alternative antenna combinations corresponding to each incident direction angle, wherein the other N-S antenna combinations comprise one or more antenna combinations in the S initial antenna combinations;

And when S is greater than N, selecting N antenna combinations with larger combined equivalent signal-to-noise ratio values from the S initial antenna combinations corresponding to each incident direction angle as N alternative antenna combinations corresponding to each incident direction angle.

5. The method of claim 4, wherein the additional N-S antenna combinations are the same and are the antenna combinations of the S initial antenna combinations that have the greatest combined equivalent signal-to-noise ratios.

6. A method of selecting an antenna combination, the method comprising:

acquiring a target incident direction angle;

selecting a target antenna combination from a target angle antenna combination quality relation table according to the target incident direction angle, wherein the target angle antenna combination quality relation table is an angle antenna combination quality relation table obtained by using the method according to any one of claims 1 to 5.

7. An apparatus for obtaining a table of angular antenna combination quality relationships, comprising respective functional modules for implementing the method of any one of claims 1 to 5.

8. An antenna combination selection device comprising functional modules for implementing the method of claim 6.

9. An apparatus for obtaining a table of quality relationships for angle antenna combinations, comprising: a memory and a processor;

the memory is used for storing program instructions;

the processor is configured to invoke program instructions in the memory to perform the method of any of claims 1 to 5.

10. An antenna combination selection apparatus, comprising: a memory and a processor;

the memory is used for storing program instructions;

the processor is configured to invoke program instructions in the memory to perform the method of claim 6.

11. A chip comprising at least one processor and a communication interface, the communication interface and the at least one processor being interconnected by wires, the at least one processor being configured to execute a computer program or instructions to perform the method of any of claims 1-6.

12. A computer readable medium, characterized in that the computer readable medium stores a program code for computer execution, the program code comprising instructions for performing the method of any of claims 1 to 6.