CN104702325B - Virtual MIMO user's matching method based on MSE - Google Patents
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Abstract
Virtual MIMO user's matching method based on MSE in a kind of wireless communication field.The present invention proposes that three kinds calculate formula of each user to square mean error amount for that can not predict the problem of pairing user matches to square mean error amount, the unsuitable more different users of processing in the prior art.Each user is calculated to square mean error amount using the calculation formula using the present invention, choose the user couple for meeting that square mean error amount is not more than default mean square error threshold condition, as optional pairing user couple, the most pairing user of pairing number of users is chosen from optional pairing user pair set again to the method as system best pairing user couple, overcome the problem of can not ensureing system mean square error performance in the prior art, so that the present invention has guarantee system mean square error performance and system communication quality, while realize the advantages of dynamic, multi-user matches.
Description
Technical field
The invention belongs to communication technical field, further relate in wireless communication technology field based on mean square error
(Mean Square Error) MSE virtual multiple-input and multiple-output (Multiple Input Multiple Output) MIMO
User's matching method.The present invention can be realized in virtual multiple-input and multiple-output mimo system, dynamically adjusting pairing number of users
While, ensure that system mean square error MSE is maintained under a specific thresholding.
Background technology
Multiple-input and multiple-output MIMO technology is widely used for improving spectrum efficiency in various wireless communication systems
(Spectral efficiency)SE.However, due to the cost and size of user equipment, multiple-input and multiple-output MIMO's is up
The application of link is limited to due to the difficulty in customer-side practical operation.In order to solve this problem, multi-user is more
Input multi output MIMO transmission, also referred to as virtual multiple-input and multiple-output MIMO transmission, it is proposed that up-link distribute two or
Multiple users, single transmitting antenna is disposed in identical frequency band and each user of time slot.With the multiple-input and multiple-output MIMO of routine
System is compared, and virtual multiple-input and multiple-output MIMO obtains extra multi-user diversity by designing good user grouping strategy
Gain.How to select grouping user to form virtual multiple-input and multiple-output MIMO is a key issue for directly affecting its performance.
The patent application document of CHINA PUTIAN INSTITUTE OF TECHNOLOGY Co., Ltd " match somebody with somebody by multiple input/output system MU-MIMO user
To implementation method " disclosed in (publication number CN 102957468A, application number CN201110247744.X, applying date 2011.8.24)
One kind realizes multi-input multi-output system MIMO user's matching method.The invention, which uses, passes through maximum feedback channel quality information
(Channel Quality Information) CQI collects to choose pairing user, to pairing user collection and the letter of user to be selected collection
Road matrix does singular value decomposition, obtains corresponding null matrix, then concentrates each subscriber channel according to pairing user collection and user to be selected
Matrix and null matrix select the new user to enter the method for pairing user's collection to realize that MIMO user matches.Existing for the invention not
Foot is can not to predict pairing user to distribute mean square error MSE values, the unsuitable more different users of processing.
A kind of patent application document " virtual MIMO matching method for considering user QoS " (publication number of University Of Xiangtan
CN102291842A, application number CN201110274457.8, applying date 2011.9.16) in disclose one kind and realize that multi input is more
Output system MIMO user's matching method.The invention is used according to user service information, channel condition information, to calculate not on the same day
In line group user pairing after user data rate method come realize multiple-input and multiple-output MIMO user match.The invention is present
Deficiency be only to have carried out two antenna multiple-input and multiple-output MIMO users pairing, pairing number of users can not be dynamically selected and entered
Row user matches, and can only ensure throughput of system when antenna number increase, can not ensure the mean square error MSE performances of system.
The content of the invention
It is an object of the invention to the deficiency for above-mentioned prior art, proposes a kind of virtual MIMO user based on MSE
Matching method, throughput of system maximum is ensured while system mean square error MSE performances are ensured.
The present invention realizes that the concrete thought of above-mentioned purpose is the channel matrix calculating for the user couple for being first depending on base station selection
Its mean square error MSE values, then in the user couple that mean square error MSE values are less than threshold value, it is most to choose pairing number of users
User is to as optimal pairing user couple.Consider that channel matrix is constant in a time slot, using urgent in signal receiver
Zero detection algorithm carries out signal detection.
The present invention realizes comprising the following steps that for above-mentioned purpose：
(1) current time slots user to be paired is obtained：
In arrival user stream after being started shooting from base station, current time slots user to be paired is obtained；
(2) optional user pair set is determined：
Base station is to current time slots total number of users to be paired and can match number of users, carries out permutation and combination, forms optional user
To set；
(3) mean square error MSE value calculation formula are used, calculate the mean square error MSE values of each user couple；
(4) new user pair set is formed：
From optional user pair set, selection meets M≤M0The user couple of condition, new user pair set is formed, wherein,
M represents the mean square error MSE of each user couple value, M0Represent mean square error MSE threshold value；
(5) the most user couple of pairing number of users is chosen：
From new user pair set, choose the most pairing user couple of pairing number of users, as in current time slots most
Good pairing user couple；
(6) data-signal is sent：
Best pairing user is sent to signal receiver by base station to entrained data-signal；
(7) determine whether that new user flows to reach, if it is, performing step (8), otherwise, perform step (9)；
(8) base station obtains next time slot user to be paired in being flowed from newly arrived user, performs step (2)；
(9) pairing is completed.
The present invention has advantages below compared with prior art：
First, because the present invention is using the method for the mean square error MSE values for calculating each user couple, overcome in the prior art
The problem of pairing user matches to mean square error MSE values, the unsuitable more different users of processing can not be predicted so that present invention tool
The advantages of user is to mean square error MSE values can be predicted by having.
Second, choose the mean square error MSE doors for meeting that mean square error MSE values are not more than default because the present invention uses
The user couple of limit value condition, as the method for optional pairing user couple, system mean square error can not be ensured in the prior art by overcoming
The problem of poor MSE performances so that the present invention has the advantages of guarantee system mean square error MSE performances and system communication quality.
3rd, due to the present invention pairing user pair most using pairing number of users from new user pair set, is chosen
As the method for system best pairing user couple, pairing number of users can not be dynamically selected in the prior art by, which overcoming, carries out user
The problem of pairing so that the present invention, which has, realizes the advantages of dynamically multi-user matches.
Brief description of the drawings
Fig. 1 is the flow chart of the present invention；
It is averagely equal using the system of squeeze theorem after Fig. 2 is sends using present invention completion user's pairing with data-signal
The analogous diagram of square error MSE performances；
Fig. 3 is after being sent using present invention completion user pairing and data-signal, using the throughput of system of squeeze theorem
Analogous diagram.
Embodiment：
The present invention will be further described below in conjunction with the accompanying drawings.
Embodiments of the invention are that channel matrix is carried out under constant communication environment in single time slot.
Referring to the drawings 1, of the invention comprises the following steps that：
Step 1, base station obtains current time slots user to be paired.
In arrival user stream after being started shooting from base station, current time slots user to be paired is obtained.
Step 2, base station determines optional user pair set.
Base station is to current time slots total number of users to be paired and can match number of users, carries out permutation and combination, forms optional user
To set.Number of users can be matched [1, Nr] in select, wherein, NrRepresent the sum of reception antenna.It is 1 when number of users can be matched
When, a user formation pairing user couple is chosen from user to be paired；When it is 2 that can match number of users, from user to be paired
It is middle to choose two users formation pairing users couple；Class is pushed away successively, is N when that can match number of usersrWhen, chosen from user to be paired
NrIndividual user forms pairing user couple, wherein, NrRepresent the sum of reception antenna.
Step 3, using mean square error MSE value calculation formula, the mean square error MSE values of each user couple are calculated.
Appoint from following calculation formula 1, calculation formula 2, three kinds of mean square error MSE value calculation formula of calculation formula 3
Meaning chooses one kind, can realize the purpose of the present invention in systems in practice.
Calculation formula 1, base station according to the following formula, calculate the mean square error MSE values of each user couple
Wherein, M represents user to UiMean square error MSE value, UiRepresent i-th of user in optional user pair set
It is right, σ2Represent the channel noise power of current time slots, QiRepresent user to UiIn total number of users, Σ represent sum operation, λkTable
Show user to UiThe kth characteristic value of corresponding channel matrix.
Calculation formula 2, base station according to the following formula, calculate the mean square error MSE values of each user couple
Wherein, M represents user to UiMean square error MSE value, UiRepresent i-th in optional user pair set
User couple, σ2The channel noise power of current time slots is represented, λ represents user to UiThe minimal eigenvalue of corresponding channel matrix.
Calculation formula 3, base station according to the following formula, calculate the mean square error MSE values of each user couple
Wherein, M represents user to UiMean square error MSE value, UiRepresent i-th in optional user pair set
User couple, HiRepresent user to UiIn the channel matrix of current time slots, Hi HRepresent HiHermitian transposed matrix,F is sought in expression
Q is sought after norm operationi- 1 power operates, σ2The channel noise power of current time slots is represented, | | represent the operation that takes absolute value, det
() represents to ask determinant to operate, QiRepresent user to UiIn total number of users,Expression is askedPower operates.
Step 4, new user pair set is formed.
From optional user pair set, selection meets M≤M0The user couple of condition, new user pair set is formed, wherein,
M represents the mean square error MSE of each user couple value, M0Represent mean square error MSE threshold value, mean square error MSE threshold value M0
Setting be to be determined by the mean square error MSE performances needed for system.If for example, mean square error MSE after system requirements detection
Value is not more than 0.06, then we set M0For 0.06.
Step 5, the most user couple of pairing number of users is chosen.
From new user pair set, choose the most pairing user couple of pairing number of users, as in current time slots most
Good pairing user couple.
Step 6, best pairing user is sent to signal receiver by base station to entrained data-signal.
Step 7, determine whether that new user flows to reach, reached if new user flows, perform step (8), otherwise, perform
Step (9).
Step 8, base station obtains next time slot user to be paired in being flowed from newly arrived user, performs step (2).
Step 9, pairing is completed.
Below in conjunction with the accompanying drawings 2 and accompanying drawing 3 to the present invention effect be further described.
1. simulated conditions：
The emulation of the present invention is carried out in the radio communication scene of single base station, the number of users to be paired that base station obtains every time
8 are arranged to, the total N of reception antennar4 are arranged to, modulation system 16-QAM, detection mode is squeeze theorem, and the present invention is imitative
Calculation formula 1 that true experiment is respectively adopted in three kinds of calculation formula of mean square error MSE values, calculation formula 2, calculation formula 3 are carried out
The calculating of mean square error MSE values, initialization system mean square error MSE threshold value M0For 0.06.
2. analysis of simulation result：
Simulation result such as Fig. 2 of the present invention, shown in Fig. 3.Fig. 2 is to be sent out using present invention completion user pairing and data-signal
After sending, using the analogous diagram of the system Averaged Square Error of Multivariate MSE performances of squeeze theorem.Fig. 3 is to complete user using the present invention to match somebody with somebody
Pair and data-signal send after, using the analogous diagram of the throughput of system of squeeze theorem.The curve identified in Fig. 2 with prismatic represents
Mean square error MSE values are calculated using calculation formula 1, optimal user pairing is carried out and chooses, data-signal is sent, the system after detection
Averaged Square Error of Multivariate performance.Represent, using the calculating mean square error MSE values of calculation formula 2, to carry out with the curve of circular indicia in Fig. 2
Optimal user pairing is chosen, and data-signal is sent, the system Averaged Square Error of Multivariate performance after detection.With square mark in Fig. 2
Curve represents to calculate mean square error MSE values using calculation formula 3, carries out optimal user pairing and choose, data-signal is sent, detection
System Averaged Square Error of Multivariate performance afterwards.The curve identified in Fig. 3 with prismatic represents to calculate mean square error using calculation formula 1
MSE values, carry out optimal user pairing and choose, data-signal is sent, the throughput of system after detection.With circular indicia in Fig. 3
Curve represents to calculate mean square error MSE values using calculation formula 2, carries out optimal user pairing and choose, data-signal is sent, detection
Throughput of system afterwards.Represent, using the calculating mean square error MSE values of calculation formula 3, to carry out most with the curve of square mark in Fig. 3
Excellent user, which matches, to be chosen, and data-signal is sent, the system Averaged Square Error of Multivariate handling capacity after detection.We can be from Fig. 2
Go out, the three kinds of mean square error MSE referred to using the present invention calculation formula, calculate each user to mean square error MSE values, Jin Erxuan
Best pairing user couple is taken, the method that data-signal is sent to signal receiver is carried, all successfully by system signal noise ratio
The Averaged Square Error of Multivariate MSE values of system between [4,30] dB have been limited under system mean square error MSE threshold value.I
Combine Fig. 2, the three kinds of mean square error MSE calculation formula referred to using the present invention, each use can be calculated as seen from Figure 3
Family is to mean square error MSE values, and then the method for choosing best pairing user couple, under different system signal to noise ratio environment, all has
Different throughput of system, so as to illustrate that the present invention has the function of realizing dynamic subscriber's pairing.
Claims (6)
1. virtual MIMO user's matching method based on MSE, its step includes as follows：
(1) current time slots user to be paired is obtained：
In arrival user stream after being started shooting from base station, current time slots user to be paired is obtained；
(2) optional user pair set is determined：
Base station is to current time slots total number of users to be paired and can match number of users, carries out permutation and combination, forms optional user to collection
Close；Number of users can be matched [1, Nr] in select, wherein, NrRepresent the sum of reception antenna；
(3) mean square error MSE value calculation formula are used, calculate the mean square error MSE values of each user couple；
(4) new user pair set is formed：
From optional user pair set, selection meets M≤M0The user couple of condition, new user pair set is formed, wherein, M is represented
The mean square error MSE of each user couple value, M0Represent mean square error MSE threshold value；
(5) the most user couple of pairing number of users is chosen：
From new user pair set, the most pairing user couple of pairing number of users is chosen, as most preferably matching somebody with somebody in current time slots
To user couple；
(6) data-signal is sent：
Best pairing user is sent to signal receiver by base station to entrained data-signal；
(7) determine whether that new user flows to reach, if it is, performing step (8), otherwise, perform step (9)；
(8) base station obtains next time slot user to be paired in being flowed from newly arrived user, performs step (2)；
(9) pairing is completed.
2. virtual MIMO user's matching method according to claim 1 based on MSE, it is characterised in that step (2) is described
The mode of permutation and combination is, when it is 1 that can match number of users, a user formation pairing user is chosen from user to be paired
It is right；When it is 2 that can match number of users, two users formation pairing users couple are chosen from user to be paired；The like, when can
Pairing number of users is NrWhen, choose N from user to be pairedrIndividual user forms pairing user couple, wherein, NrRepresent that base station receives
The sum of antenna.
3. virtual MIMO user's matching method according to claim 1 based on MSE, it is characterised in that step (3) is described
Mean square error MSE value calculation formula it is as follows：
<mrow>
<mi>M</mi>
<mo>=</mo>
<mfrac>
<msup>
<mi>&sigma;</mi>
<mn>2</mn>
</msup>
<msub>
<mi>Q</mi>
<mi>i</mi>
</msub>
</mfrac>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>k</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msub>
<mi>Q</mi>
<mi>i</mi>
</msub>
</munderover>
<mfrac>
<mn>1</mn>
<msub>
<mi>&lambda;</mi>
<mi>k</mi>
</msub>
</mfrac>
</mrow>
Wherein, M represents user to UiMean square error MSE value, UiRepresent i-th of user couple in optional user pair set, σ2
Represent the channel noise power of current time slots, QiRepresent user to UiIn total number of users, ∑ represent sum operation, λkRepresent to use
Family is to UiK-th of characteristic value of corresponding channel matrix.
4. virtual MIMO user's matching method according to claim 1 based on MSE, it is characterised in that step (3) is described
Mean square error MSE value calculation formula it is as follows：
<mrow>
<mi>M</mi>
<mo>=</mo>
<mfrac>
<msup>
<mi>&sigma;</mi>
<mn>2</mn>
</msup>
<mi>&lambda;</mi>
</mfrac>
</mrow>
Wherein, M represents user to UiMean square error MSE value, UiRepresent i-th of user in optional user pair set
It is right, σ2The channel noise power of current time slots is represented, λ represents user to UiThe minimal eigenvalue of corresponding channel matrix.
5. virtual MIMO user's matching method according to claim 1 based on MSE, it is characterised in that step (3) is described
Mean square error MSE value calculation formula it is as follows：
<mrow>
<mi>M</mi>
<mo>=</mo>
<mfrac>
<mrow>
<mo>|</mo>
<mo>|</mo>
<msup>
<msub>
<mi>H</mi>
<mi>i</mi>
</msub>
<mi>H</mi>
</msup>
<msub>
<mi>H</mi>
<mi>i</mi>
</msub>
<mo>|</mo>
<msubsup>
<mo>|</mo>
<mi>F</mi>
<mrow>
<msub>
<mi>Q</mi>
<mi>i</mi>
</msub>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msubsup>
<mo>&times;</mo>
<msup>
<mi>&sigma;</mi>
<mn>2</mn>
</msup>
</mrow>
<mrow>
<mo>|</mo>
<mi>det</mi>
<mrow>
<mo>(</mo>
<msup>
<msub>
<mi>H</mi>
<mi>i</mi>
</msub>
<mi>H</mi>
</msup>
<msub>
<mi>H</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>|</mo>
<mo>&times;</mo>
<msup>
<mrow>
<mo>(</mo>
<msub>
<mi>Q</mi>
<mi>i</mi>
</msub>
<mo>-</mo>
<mn>1</mn>
<mo>)</mo>
</mrow>
<mfrac>
<mrow>
<msub>
<mi>Q</mi>
<mi>i</mi>
</msub>
<mo>-</mo>
<mn>1</mn>
</mrow>
<mn>2</mn>
</mfrac>
</msup>
</mrow>
</mfrac>
</mrow>
Wherein, M represents user to UiMean square error MSE value, UiRepresent i-th of user couple in optional user pair set, Hi
Represent user to UiIn the channel matrix of current time slots, Hi HRepresent HiHermitian transposed matrix,After expression asks F norms to operate
Seek Qi- 1 power operates, σ2The channel noise power of current time slots is represented, | | the operation that takes absolute value is represented, det () represents to ask
The operation of determinant, QiRepresent user to UiIn total number of users,Expression is askedPower operates.
6. virtual MIMO user's matching method according to claim 1 based on MSE, it is characterised in that step (4) is described
Mean square error MSE threshold value M0Setting be to be determined by the mean square error MSE performances needed for system.
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| CN101222267A (en) * | 2007-01-08 | 2008-07-16 | 中兴通讯股份有限公司 | User matching method in MIMO transmission and method for confirming match factor |
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| WO2014161134A1 (en) * | 2013-04-01 | 2014-10-09 | 华为技术有限公司 | Method for determining paired users, user equipment, base station, and joint detection method |
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| CN101222267A (en) * | 2007-01-08 | 2008-07-16 | 中兴通讯股份有限公司 | User matching method in MIMO transmission and method for confirming match factor |
| CN103973350A (en) * | 2013-02-04 | 2014-08-06 | 普天信息技术研究院有限公司 | Multi-user pairing method of multi-user transmission mode |
| WO2014161134A1 (en) * | 2013-04-01 | 2014-10-09 | 华为技术有限公司 | Method for determining paired users, user equipment, base station, and joint detection method |
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| LTE-Advanced上行虚拟MIMO系统用户配对算法研究;李博伟;《现代电信科技》;20111231(第12期);5-11页 * |
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