Large-scale MIMO system precoding method applied in gathered user scene

A large-scale, precoding technology, applied in the field of massive MIMO system precoding, can solve the problems of performance degradation, amplified transmission signal power, large number of users, etc., and achieve the effect of reducing computational complexity and good performance

Active Publication Date: 2017-09-15
HANGZHOU DIANZI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At this time, considering that the surrounding environment of the terminals gathered together is similar, and the relative positions of the antenna arrays are close, the downlink channel vectors from the base station to these terminals (assuming that the terminals are configured with a single antenna) have a large correlation. According to the precoding criterion, the downlink channel matrix composed of the base station and these terminals is quasi-ill-condit

Method used

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  • Large-scale MIMO system precoding method applied in gathered user scene
  • Large-scale MIMO system precoding method applied in gathered user scene
  • Large-scale MIMO system precoding method applied in gathered user scene

Examples

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Example Embodiment

[0060] Example 1

[0061] Set the number of base station antennas M=50, the number of user antennas is K=4, the users are divided into L=2 clusters, each group has Users, assuming that the users’ arrival angles are: with Users gather in pairs, such as figure 2 Shown. The present invention takes the user's perspective of the first cluster as with The perspective of the users in the second cluster is with The corresponding channels are h 1 ,h 2 ,h 3 ,h 4 The present invention can obtain the channel matrices of the first cluster and the second cluster as Therefore, the present invention can obtain the channel matrix composed of the i-th user in each cluster as with Correct with Do ZF precoding separately to get the precoding matrix with Therefore, the precoding matrix of the first cluster and the second cluster is with To get the equivalent channel matrix with Perform precoding design based on ZF-GMD-THP respectively, and obtain the first cluster of precoding matrix...

Example Embodiment

[0063] Example 2

[0064] Set the number of base station antennas M=100 and the number of user antennas to K=12, assuming that the user’s angle of arrival is: with Three of three users gather together. Therefore, the present invention can divide users into L=4 clusters, each group has Users, the present invention takes the perspective of the first cluster of users as with The perspective of the users in the second cluster is with The perspective of the third cluster of users is with The perspective of the fourth cluster of users is with See Figure 7 , Shows the performance simulation diagram of embodiment 2, the bit error rate of the system obtained by using three precoding methods respectively, where'ZF' represents the simulation performance of the base station using ZF precoding for all downlink CSI matrices H known :'ZF-GMD-THP' means the base station knows the simulation performance of all downlink CSI matrix H, using ZF-GMD-THP precoding;'ZF-GMD-THP Clusters' me...

Example Embodiment

[0065] Example 3

[0066] Set the number of base station antennas as M=100 and the number of user antennas as K=12. Suppose the user’s arrival angle is: with Four or four users are gathered together, and the users are divided into L=3 clusters, each group has Users, the present invention takes the perspective of the first cluster of users as with The perspective of the users in the second cluster is with The perspective of the third cluster of users is with See Picture 8 , Shows the performance simulation diagram of embodiment 3, the bit error rate of the system obtained by using three precoding methods respectively, where'ZF' represents the simulation performance of the base station using ZF precoding for all downlink CSI matrix H known :'ZF-GMD-THP' means that the base station knows the simulation performance of all downlink CSI matrices H, using ZF-GMD-THP precoding;'ZF-GMD-THPClusters' means that the base station knows all downlink CSI matrices H , The simulation ...

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Abstract

The invention discloses a large-scale MIMO system precoding method applied in a gathered user scene. The method comprises the following steps that 1, a base station acquires arrival angles of all terminal signals according to channel state information of user terminals; 2, the base station conducts clustering on the user terminals according to the arrival angles; 3, outer-layer precoding matrixes W of all user terminal clusters are designed according to the channel state information of the clusters; 4, equivalent channel state information matrixes are acquired according to the channel state information of all the clusters by combining the outer-layer precoding matrixes; 5, the base station designs inner-layer precoding matrixes Q1 according to the equivalent CSI matrixes on the basis of ZF-GMD-THP; and 6, precoding matrixes F (F=WQ) are obtained according to the outer-layer precoding matrixes W and the inner-layer precoding matrixes Q, and the base station sends data to a user through the precoding matrixes F. Compared with the prior art, the two-stage precoding method is adopted, therefore, the computing complexity can be effectively reduced, and the good performance can be achieved.

Description

technical field [0001] The invention belongs to the field of mobile communication technology and multi-antenna technology, and relates to an anti-interference method for intra-cell co-frequency interference, in particular to a massive MIMO system precoding method applied to a scenario of gathering users. Background technique [0002] At present, with the rapid development of wireless communication technology and mobile Internet, people continue to put forward higher requirements for mobile communication speed. However, system resources such as available spectrum and transmit power in wireless communication systems are limited, which cannot meet the increasing rate requirements. The massive MIMO (Multiple-Input Multiple-Output) system configures a large number of antennas (dozens or even hundreds) in the base station, and the number of base station antennas is far greater than the number of users served by the base station at the same time, so that the channel between the bas...

Claims

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Application Information

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IPC IPC(8): H04B7/0456H04B7/06
CPCH04B7/0456H04B7/0626
Inventor 王炜周语宁徐凌泽潘鹏
Owner HANGZHOU DIANZI UNIV
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