CN105530696B - Multi-user interference elimination method and system - Google Patents
Multi-user interference elimination method and system Download PDFInfo
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- CN105530696B CN105530696B CN201510919804.6A CN201510919804A CN105530696B CN 105530696 B CN105530696 B CN 105530696B CN 201510919804 A CN201510919804 A CN 201510919804A CN 105530696 B CN105530696 B CN 105530696B
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Abstract
The invention discloses a multi-user interference elimination method, which comprises the following steps: generating an analog signal according to the set parameters and the related parameters of the appointed user, demodulating and recovering the analog learning signal, and recovering the signal by a single user; calculating the analog learning signal and the single-user recovery signal according to a preset algorithm to obtain a delay value of the single-user recovery signal relative to the learning signal; obtaining a delay calculation result of the appointed user according to the delay value; obtaining a delay calculation result of each appointed user; taking the maximum value in all delay calculation results as a calculation reference value; and adjusting the alignment of the multi-user signal and the single-user recovery signal on the time delay according to the reference value. The method provided by the embodiment of the invention automatically realizes that each user signal obtained by estimation and recovery is strictly aligned with the received signal in time so as to realize an extensible universal multi-user interference processing system compatible with different users.
Description
Technical Field
The present application relates to the field of communications technologies, and in particular, to a method and a system for eliminating multi-user interference.
Background
Since the CDMA (Code Division Multiple Access) system is a Multiple Access scheme of CDMA, in an actual system, inter-symbol Interference (ISO), Multiple Access Interference (MAI) and suppression of weak signals by strong signals in the system (near-far effect) become some main types of interference that the CDMA system must have. MAI limits the capacity of the system and ISO limits the rate of communication. The ISO mitigation may employ equalization or diversity techniques. MAI occurs because the user receiver cannot be fully synchronized and employ fully orthogonal spreading codes. The basic idea is that a signal is preliminarily judged at a receiving end, then the multi-access interference of each user to other users is estimated by using the preliminary value, then the multi-access interference generated by the user is subtracted from the received signals of other users, and a statistic value for reducing the influence of the multi-access interference is obtained and then the Detection is carried out.
This kind of detection method has a big problem, when the interference elimination process is performed, each user signal obtained by estimation recovery must be aligned with the received signal strictly in time, otherwise, not only the influence of multiple access interference is not mitigated, but also the multiple access interference is increased. When signals are preliminarily judged, the processing time delay of the signals is changed due to different key characteristics of the modulation mode, the pseudo code rate, the data rate and the like of the signals, so that a universal system is difficult to realize, and the signals with different modulation modes, pseudo code rates and data rates can be compatible to carry out multi-user interference elimination processing.
Disclosure of Invention
The embodiment of the invention provides a multi-user interference elimination method and a multi-user interference elimination system, which are used for solving the problem that in the prior art, due to different key characteristics of a signal such as a modulation mode, a pseudo code rate and a data rate, the processing time delay of the signal is changed, so that a universal system is difficult to realize, and the multi-user interference elimination processing can be carried out on the signals with different modulation modes, pseudo code rates and data rates.
The specific technical scheme is as follows:
a method of multi-user interference cancellation, the method comprising:
s1, generating a simulated learning signal according to the setting parameters and the relevant parameters of the appointed user;
s2, demodulating and restoring the analog learning signal, and restoring the signal by a single user;
s3, calculating the simulated learning signal and the single-user recovery signal according to a preset algorithm to obtain a delay value of the single-user recovery signal relative to the learning signal;
s4, obtaining the delay calculation result of the appointed user according to the delay value;
s5, circularly executing S1-S4 until obtaining the delay calculation result of each designated user;
s6, selecting a maximum value from all the obtained delay calculation results, and taking the maximum value as a calculation reference value;
and S7, adjusting the alignment of the multi-user signal and the single-user recovery signal in time delay according to the reference value.
Optionally, the simulated learning signal is generated according to the set parameter and the related parameter of the designated user, specifically:
and generating the analog learning signal according to a modulation mode and/or a data rate and/or a spread spectrum pseudo code and/or spread spectrum of a designated user according to set parameters.
Optionally, according to the setting parameter, the analog learning signal is generated according to the modulation mode and/or the data rate and/or the spreading pseudo code and/or the spreading of the designated user, specifically: and generating a simulated learning signal according to a modulation mode and/or a data rate and/or a spread spectrum pseudo code and/or spread spectrum of the appointed user in the multi-user signal according to the set parameters, wherein the simulated learning signal has a specific long-period data sequence, so that the simulated learning signal has set autocorrelation.
Optionally, calculating the simulated learning signal and the single-user recovery signal according to a preset algorithm to obtain a delay value of the single-user recovery signal relative to the learning signal, where the delay value includes:
obtaining N calculation results through Fourier transformation and inverse Fourier transformation according to the autocorrelation of the analog learning signal, wherein N is a positive integer greater than or equal to 1;
and selecting the maximum value from the N calculation results, and taking the maximum value as the delay value.
Optionally, adjusting, according to the reference value, alignment of the multi-user signal and the single-user recovery signal in terms of time delay includes:
subtracting the delay value of each path of user from the reference value to obtain a delay control value;
and adjusting the alignment of the multi-user signal and the single-user recovery signal on the time delay according to the time delay control value.
A multi-user interference cancellation system, comprising:
the learning signal generation module is used for generating a simulated learning signal according to the set parameters and the related parameters of the appointed user;
the signal switching module is used for demodulating and recovering the analog learning signal, and recovering the signal by a single user;
the time delay calculation module is used for calculating the simulated learning signal and the single-user recovery signal according to a preset algorithm to obtain a delay value of the single-user recovery signal relative to the learning signal;
the multi-user interference elimination algorithm control module is used for obtaining a delay calculation result of the specified user according to the delay value, and then performing a delay learning process of the next specific user according to the flow until the delay learning of all users is completed to obtain the delay calculation results of all the specified users;
the delay control module is used for selecting a maximum value from all the obtained delay calculation results and taking the maximum value as a calculation reference value;
the interference elimination processing module is used for adjusting the alignment of the multi-user signal and the single-user recovery signal on time delay according to the reference value;
and the signal demodulation and recovery module is used for completing demodulation and recovery processing of the multi-user signal or the learning signal and outputting a recovered modulation signal.
Optionally, the learning signal generation module is specifically configured to generate an analog learning signal according to a set parameter and according to a modulation scheme and/or a data rate and/or a spreading pseudo code and/or a spreading of the designated user in the multi-user signal, where the analog learning signal has a specific long-period data sequence, so that the analog learning signal has a set autocorrelation.
Optionally, the time delay calculating module is specifically configured to perform fourier transform and inverse fourier transform according to the autocorrelation of the analog learning signal; and selecting a maximum value from the N calculation results, and taking the maximum value as the delay value to obtain N calculation results, wherein N is a positive integer greater than or equal to 1.
Optionally, the interference cancellation processing module is specifically configured to subtract the delay value of each path of user from the reference value to obtain a delay control value; and adjusting the alignment of the multi-user signal and the single-user recovery signal on the time delay according to the time delay control value.
The invention provides a multi-user interference elimination method, which comprises the following steps: generating an analog signal according to the set parameters and the related parameters of the appointed user, demodulating and recovering the analog learning signal, and recovering the signal by a single user; calculating the analog learning signal and the single-user recovery signal according to a preset algorithm to obtain a delay value of the single-user recovery signal relative to the learning signal; obtaining a delay calculation result of the appointed user according to the delay value; obtaining a delay calculation result of each appointed user; selecting a maximum value from all the obtained delay calculation results, and taking the maximum value as a calculation reference value; and adjusting the alignment of the multi-user signal and the single-user recovery signal on the time delay according to the reference value. The method provided by the embodiment of the invention automatically realizes that each user signal obtained by estimation and recovery is strictly aligned with the received signal in time so as to realize an extensible universal multi-user interference processing system compatible with different users.
Drawings
Fig. 1 is a flowchart of a multi-user interference cancellation method according to an embodiment of the present invention;
FIG. 2 is a functional block diagram of delay value calculation in an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a multi-user interference cancellation system according to an embodiment of the present invention.
Detailed Description
In order to solve the problem that in the prior art, due to different key characteristics of a signal such as a modulation mode, a pseudo code rate and a data rate, processing delay is changed, so that a general system is difficult to realize, and multi-user interference elimination processing can be performed on signals with different modulation modes, pseudo code rates and data rates, an embodiment of the invention provides a multi-user interference elimination method, which comprises the following steps: generating an analog signal according to the set parameters and the related parameters of the appointed user, demodulating and recovering the analog learning signal, and recovering the signal by a single user; calculating the analog learning signal and the single-user recovery signal according to a preset algorithm to obtain a delay value of the single-user recovery signal relative to the learning signal; obtaining a delay calculation result of the appointed user according to the delay value; obtaining a delay calculation result of each appointed user; selecting a maximum value from all the obtained delay calculation results, and taking the maximum value as a calculation reference value; and adjusting the alignment of the multi-user signal and the single-user recovery signal on the time delay according to the reference value. The method provided by the embodiment of the invention automatically realizes that each user signal obtained by estimation and recovery is strictly aligned with the received signal in time so as to realize an extensible universal multi-user interference processing system compatible with different users.
The technical solutions of the present invention are described in detail with reference to the drawings and the specific embodiments, and it should be understood that the embodiments and the specific technical features in the embodiments of the present invention are merely illustrative of the technical solutions of the present invention, and are not restrictive, and the embodiments and the specific technical features in the embodiments of the present invention may be combined with each other without conflict.
Fig. 1 is a flowchart of a multi-user interference cancellation method according to an embodiment of the present invention, where the method includes:
s1, generating a simulated learning signal according to the setting parameters and the relevant parameters of the appointed user;
specifically, in the embodiment of the present invention, the analog learning signal is generated according to the modulation scheme and/or data rate and/or spreading pseudo code and/or spreading of the designated user according to the setting parameters. The analog learning signal adopts a special long-period data sequence, so that the analog signal has good autocorrelation.
S2, demodulating and restoring the analog learning signal, and restoring the signal by a single user;
after the analog learning signal is obtained, the analog learning signal and the signal of a specific user are superposed, so that the demodulation and recovery processing of the multi-user signal is completed, and the single-user recovery signal is output.
S3, calculating the analog learning signal and the single-user recovery signal according to a preset algorithm to obtain a delay value of the single-user recovery signal relative to the learning signal;
obtaining N calculation results through Fourier transformation and inverse Fourier transformation according to the autocorrelation of the analog learning signal, wherein N is a positive integer greater than or equal to 1; and selecting the maximum value from the N calculation results, and taking the maximum value as the delay value.
Specifically, the automatic calculation of the processing delay is realized by learning a signal and a single-user recovery signal, utilizing the long-period sub-correlation characteristic of the learning signal and adopting a calculation method of Fourier transform FFT and inverse Fourier transform IFFT, and the calculation process is as shown in FIG. 2, firstly, 2048-point FFT is respectively carried out on the analog learning signal and the single-user recovery signal, then, after conjugate transformation is carried out on the learning analog signal after FFT, multiplication calculation is carried out on the learning analog signal and data after single-user signal FFT, then, a maximum value is selected from a calculation result, and the serial number of the value in 2048 data is the delay value of the single-user recovery signal relative to the analog learning signal.
S4, obtaining the delay calculation result of the appointed user according to the delay value;
and after the delay value of the specified user is obtained, the delay value is brought into a specified formula for calculation, so that the delay calculation result of the specified user is obtained.
S5, circularly executing S1-S4 until obtaining the delay calculation result of each designated user;
s6, selecting a maximum value from all the obtained delay calculation results, and taking the maximum value as a calculation reference value;
in all the calculations, the maximum value is chosen, which characterizes the maximum delay that occurs, which ensures that the other delays are included.
And S7, adjusting the alignment of the multi-user signal and the single-user recovery signal in time delay according to the reference value.
Subtracting the delay value of each path of user from the reference value to obtain a delay control value; and adjusting the alignment of the multi-user signal and the single-user recovery signal on the time delay according to the time delay control value.
Specifically, after the delay calculation results of all users are recorded, the value with the largest delay value is selected as a calculation reference value, and the calculation reference value is used as a delay control value for multi-user signal input multi-user interference cancellation. And then subtracting the processing time delay value of each path of user from the reference value to obtain the time delay control value of the time delay control module of the path of user. And the alignment of the multi-user signal and the single-user recovery signal on time delay is realized.
By the method, each user signal obtained by estimation and recovery can be aligned with the received signal strictly in time, so that the extensible universal multi-user interference processing system which can be compatible with different modulation modes, pseudo code rates and data rates is realized.
In response to a method for eliminating multi-user interference in the embodiment of the present invention, an embodiment of the present invention further provides a multi-user interference elimination system, and as shown in fig. 3, a schematic structural diagram of a multi-user interference elimination system in the embodiment of the present invention is shown, where the system includes:
a learning signal generation module 301, configured to generate a simulated learning signal according to a set parameter and a relevant parameter of a specified user;
specifically, the learning signal generation module 301 is specifically configured to generate the analog learning signal according to a modulation scheme and/or a data rate and/or a spreading pseudo code and/or a spreading spectrum of a specific user according to a setting parameter.
A signal switching module 302, configured to demodulate and recover the analog learning signal, so that a single user recovers the signal;
a time delay calculating module 303, configured to calculate the simulated learning signal and the single-user recovery signal according to a preset algorithm, so as to obtain a delay value of the single-user recovery signal relative to the learning signal;
obtaining N calculation results through Fourier transformation and inverse Fourier transformation according to the autocorrelation of the analog learning signal, wherein N is a positive integer greater than or equal to 1; and selecting the maximum value from the N calculation results, and taking the maximum value as the delay value.
Specifically, the automatic calculation of the processing delay is realized by learning a signal and a single-user recovery signal, utilizing the long-period sub-correlation characteristic of the learning signal and adopting a calculation method of Fourier transform FFT and inverse Fourier transform IFFT, and the calculation process is as shown in FIG. 2, firstly, 2048-point FFT is respectively carried out on the analog learning signal and the single-user recovery signal, then, after conjugate transformation is carried out on the learning analog signal after FFT, multiplication calculation is carried out on the learning analog signal and data after single-user signal FFT, then, a maximum value is selected from a calculation result, and the serial number of the value in 2048 data is the delay value of the single-user recovery signal relative to the analog learning signal.
The multi-user interference cancellation algorithm control module 304 obtains the delay calculation result of the designated user according to the delay value, and then performs the delay learning process of the next specific user according to the above process until the delay learning of all users is completed, so as to obtain the delay calculation results of all designated users.
A delay control module 305, configured to select a maximum value from all obtained delay calculation results, and use the maximum value as a calculation reference value;
the interference elimination processing module 306 is configured to adjust the multi-user signal and the single-user recovery signal to be aligned in time delay according to the reference value;
and a signal demodulation and recovery module 307, configured to complete demodulation and recovery processing on the multi-user signal or the learning signal, and output a recovered modulation signal.
Specifically, the multi-user interference cancellation algorithm control module 304 is configured to control a multi-user interference cancellation processing procedure implemented by the method, and may automatically control the interference cancellation processing procedure.
The multi-user interference cancellation algorithm control module 304 firstly controls the learning signal generation module 301 to generate a simulated learning signal according to the modulation mode, data rate, spreading pseudo code and spreading rate of a specific user in the multi-user signal according to the set parameters, and the simulated learning signal adopts a special long-period data sequence, so that the simulated signal has a good autocorrelation characteristic.
Then, the multi-user interference cancellation algorithm control module 304 controls the signal switching module to switch the input of the signal demodulation and recovery module 307 of a specific user to the learning signal, the signal demodulation and recovery module 307 completes the demodulation and recovery processing of the multi-user signal, and outputs the single-user recovery signal to the delay calculation module 305.
The delay calculating module 305 implements automatic calculation of processing delay by learning the signal and the single-user recovery signal, utilizing the long-period autocorrelation characteristic of the learning signal, and adopting the calculation methods of FFT (fourier transform) and IFFT (inverse fourier transform), and the calculation process is as shown in fig. 2. Firstly, respectively carrying out 2048-point FFT on a learning signal and a single-user recovery signal, then carrying out conjugate transformation on the learning signal after the FFT, multiplying the learning signal after the FFT with data after the FFT of the single-user recovery signal, and then selecting a maximum value from the calculation results, wherein the serial number of the value in 2048 data is the delay value of the single-user recovery signal relative to the learning signal.
The multi-user interference cancellation algorithm control module 304 receives the time delay calculation result obtained by the time delay calculation module 303, and completes the time delay learning process of one user. And then, carrying out the time delay learning process of the next specific user according to the flow until the time delay learning of all the users is completed.
After the multi-user interference cancellation algorithm control module 304 records the processing delays of all users, the value with the largest delay value is selected as a calculation reference value, and the calculation reference value is used as the delay control value of the delay control module of the multi-user signal input interference cancellation processing module 307. Then, the processing delay value of each path of user is subtracted from the reference value, which is the delay control value of the delay control module 305 for the path of user. Alignment of the multi-user signal and the single-user recovered signal input to the interference cancellation processing module 306 in terms of time delay is achieved.
The multi-user interference cancellation algorithm control module 304 controls the signal switching module to switch the signal demodulation and recovery module 307 input to the multi-user signal, and starts the multi-user interference cancellation processing.
A signal demodulation and recovery module 307, which completes demodulation and recovery processing of the multi-user signal or the learning signal and outputs a recovered modulation signal, and the specific algorithm adopted by the signal demodulation and recovery module is irrelevant to the invention;
the interference elimination processing module 306 completes the elimination processing of the multi-user interference, and the specific adopted algorithm is irrelevant to the invention;
the method for eliminating the multi-user interference provided by the embodiment of the invention has the following advantages that:
1. the invention adopts a processing algorithm based on learning to realize the automatic calculation of the processing time delay of each user in the multi-user data chain transmission signal;
2. the invention automatically controls the delay of each user recovery signal and input signal in the multi-user interference elimination processing process through a multi-user interference elimination algorithm control module, thereby realizing the alignment of the user recovery signal and the input signal;
3. the invention can flexibly adapt to various transmission requirements aiming at different modulation modes and data rates;
4. the invention adopts the modular design, and can conveniently increase the number of users when needed.
While the preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (7)
1. A method for multi-user interference cancellation, the method comprising:
s1, generating a simulated learning signal according to the setting parameters and the relevant parameters of the appointed user;
s2, demodulating and restoring the analog learning signal, and restoring the signal by a single user;
s3, calculating the simulated learning signal and the single user recovery signal according to a preset algorithm, to obtain a delay value of the single user recovery signal with respect to the learning signal, including:
obtaining N calculation results through Fourier transformation and inverse Fourier transformation according to the autocorrelation of the analog learning signal, wherein N is a positive integer greater than or equal to 1;
selecting a maximum value from the N calculation results, and taking the maximum value as the delay value;
s4, obtaining the delay calculation result of the appointed user according to the delay value;
s5, circularly executing S1-S4 until obtaining the delay calculation result of each designated user;
s6, selecting a maximum value from all the obtained delay calculation results, and taking the maximum value as a calculation reference value;
and S7, adjusting the alignment of the multi-user signal and the single-user recovery signal in time delay according to the reference value.
2. The method of claim 1, wherein the simulated learning signal is generated according to the setting parameters and the related parameters of the designated user, specifically:
and generating the analog learning signal according to a modulation mode and/or a data rate and/or a spread spectrum pseudo code and/or spread spectrum of a designated user according to set parameters.
3. The method as claimed in claim 2, wherein the analog learning signal is generated according to the modulation scheme and/or data rate and/or spreading pseudo code and/or spreading of the designated user according to the setting parameters, and specifically: and generating a simulated learning signal according to a modulation mode and/or a data rate and/or a spread spectrum pseudo code and/or spread spectrum of the appointed user in the multi-user signal according to the set parameters, wherein the simulated learning signal has a specific long-period data sequence, so that the simulated learning signal has set autocorrelation.
4. The method of claim 1, wherein adjusting the alignment of the multi-user signal and the single-user recovered signal in terms of time delay based on the reference value comprises:
subtracting the delay value of each path of user from the reference value to obtain a delay control value;
and adjusting the alignment of the multi-user signal and the single-user recovery signal on the time delay according to the time delay control value.
5. A multi-user interference cancellation system, comprising:
the learning signal generation module is used for generating a simulated learning signal according to the set parameters and the related parameters of the appointed user;
the signal switching module is used for demodulating and recovering the analog learning signal, and recovering the signal by a single user;
the time delay calculation module is used for calculating the simulated learning signal and the single-user recovery signal according to a preset algorithm to obtain a delay value of the single-user recovery signal relative to the learning signal; the time delay calculation module is specifically configured to obtain N calculation results through fourier transform and inverse fourier transform according to the autocorrelation of the analog learning signal, where N is a positive integer greater than or equal to 1; selecting a maximum value from the N calculation results, and taking the maximum value as the delay value;
the multi-user interference elimination algorithm control module obtains a delay calculation result of the specified user according to the delay value, and then performs a delay learning process of the next specific user according to the flows of the learning signal generation module, the signal switching module, the delay calculation module and the multi-user interference elimination algorithm control module until the delay learning of all users is completed to obtain the delay calculation results of all the specified users; the delay control module is used for selecting a maximum value from all the obtained delay calculation results and taking the maximum value as a calculation reference value;
the interference elimination processing module is used for adjusting the alignment of the multi-user signal and the single-user recovery signal on time delay according to the reference value;
and the signal demodulation and recovery module is used for completing demodulation and recovery processing of the multi-user signal or the learning signal and outputting a recovered modulation signal.
6. The system according to claim 5, wherein the learning signal generation module is specifically configured to generate an analog learning signal according to a modulation scheme and/or a data rate and/or a spreading pseudo code and/or a spreading of the designated user in the multi-user signal according to a set parameter, wherein the analog learning signal has a specific long-period data sequence, so that the analog learning signal has a set autocorrelation.
7. The system according to claim 5, wherein the interference cancellation processing module is specifically configured to subtract the delay value of each path of user from the reference value to obtain a delay control value; and adjusting the alignment of the multi-user signal and the single-user recovery signal on the time delay according to the time delay control value.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101227443A (en) * | 2007-01-19 | 2008-07-23 | 华为技术有限公司 | Apparatus and method for generating training symbol and estimating bias of training symbol |
| CN101729118A (en) * | 2005-09-01 | 2010-06-09 | 夏普株式会社 | Wireless transmitting device and wireless transmitting method |
| CN102684737A (en) * | 2011-03-10 | 2012-09-19 | 北京化工大学 | Method for realizing multi-user spread spectrum broadcasting station based on parallel interference cancellation algorithm |
| CN103906222A (en) * | 2012-12-27 | 2014-07-02 | 中兴通讯股份有限公司 | Uplink-data synchronization method, system and device |
| CN103997761A (en) * | 2014-05-20 | 2014-08-20 | 东南大学 | Optimal frame length selection method of downlink communication of multi-user MIMO system |
-
2015
- 2015-12-11 CN CN201510919804.6A patent/CN105530696B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101729118A (en) * | 2005-09-01 | 2010-06-09 | 夏普株式会社 | Wireless transmitting device and wireless transmitting method |
| CN101227443A (en) * | 2007-01-19 | 2008-07-23 | 华为技术有限公司 | Apparatus and method for generating training symbol and estimating bias of training symbol |
| CN102684737A (en) * | 2011-03-10 | 2012-09-19 | 北京化工大学 | Method for realizing multi-user spread spectrum broadcasting station based on parallel interference cancellation algorithm |
| CN103906222A (en) * | 2012-12-27 | 2014-07-02 | 中兴通讯股份有限公司 | Uplink-data synchronization method, system and device |
| CN103997761A (en) * | 2014-05-20 | 2014-08-20 | 东南大学 | Optimal frame length selection method of downlink communication of multi-user MIMO system |
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