Interference alignment scheme for massive MIMO system

doi:10.1016/S1005-8885(14)60311-3

中国邮电高校学报(英文) ›› 2014, Vol. 21 ›› Issue (4): 19-24.doi: 10.1016/S1005-8885(14)60311-3

Interference alignment scheme for massive MIMO system

姜静,LV Wei, SUN Bo LU Guang-yue, XIE Yong-bin

1. School of Communication and Information Engineering, Xi'an University of Posts & Telecommunications, Xi’an 710061, China 2. Wireless Technology Pre-research Unit, ZTE Cooperation, Xi’an 710065, China

收稿日期:2014-02-26 修回日期:2014-05-21 出版日期:2014-08-31 发布日期:2014-08-30
通讯作者: 姜静 E-mail:longweiba3000@sina.com
基金资助:
国家科技重大专项“新一代宽带无线移动通信网”;国家863项目“高效能5G无线传输关键技术研发课题”;国家自然科学基金资助项目

Interference alignment scheme for massive MIMO system

1. School of Communication and Information Engineering, Xi'an University of Posts & Telecommunications, Xi’an 710061, China 2. Wireless Technology Pre-research Unit, ZTE Cooperation, Xi’an 710065, China

Received:2014-02-26 Revised:2014-05-21 Online:2014-08-31 Published:2014-08-30

摘要/Abstract

摘要：

The performance of massive multiple-input multiple-output (MIMO) system is limited by pilot contamination. To reduce the pilot contamination, uplink and downlink precoding algorithms are put forward based on interference alignment criterion. In the uplink receiving processing, the target function aligns the pilot contamination and the interference signals to the same null space and acquires the maximal space degree of the desired signals. The uplink receiving precoding matrix is solved on maximal signal to interference plus noise ratio (SINR) criterion considering the impact of the pilot contamination on channel estimations. The uplink receiving precoding matrix is used as the downlink transmitting precoding matrix. Exploiting the channel reciprocity, it is proved that, if the uplink receiving precoding matrix achieves maximal SINR, the identical precoding matrix can be used in the downlink transmission and acquires maximal signal to leakage plus noise ratio (SLNR). Simulations show that the spectrum efficiency of the proposed algorithm can reach about 1.5 times higher than that of popular matched filtering (MF) precoding algorithm, and about 1.1 times higher than multi-cell minimum mean square error (MMSE) precoding algorithm. The performance of the proposed algorithm can be improved approximately linearly with the increasing of the number of antennas.

关键词:

massive MIMO, large scale MIMO, pilot contamination, precoding, interference alignment

Abstract:

Key words:

massive MIMO, large scale MIMO, pilot contamination, precoding, interference alignment

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Interference alignment scheme for massive MIMO system

Interference alignment scheme for massive MIMO system

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