Improving Semi-Blind Uplink Interference Suppression on Multicell Massive MIMO Systems: A Beamspace Approach

被引:5
作者
Maruta, Kazuki [1 ]
Ahn, Chang-Jun [1 ]
机构
[1] Chiba Univ, Grad Sch Engn, Chiba 2638522, Japan
关键词
massive MIMO; multicell; pilot contamination; adaptive array; constant modulus algorithm; channel estimation; decision feedback; beamspace; CHANNEL ESTIMATION; TRANSMISSION; CAPACITY; INDOOR; BAND;
D O I
10.1587/transcom.2018TTP0005
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper improves our previously proposed semi-blind uplink interference suppression scheme for multicell multiuser massive MIMO systems by incorporating the beamspace approach. The constant modulus algorithm (CMA), a known blind adaptive array scheme, can fully exploit the degree of freedom (DoF) offered by massive antenna arrays to suppress inter-user interference (IUI) and inter-cell interference (ICI). Unfortunately, CMA wastes a lot of the benefit of DoF for null-steering even when the number of incoming signal is fewer than that of receiving antenna elements. Our new proposal introduces the beamspace method which degenerates the number of array input for CMA from element-space to beamspace. It can control DoF expended for subsequent interference suppression by CMA. Optimizing the array beamforming gain and null-steering ability, can further improve the output signal-to-interference and noise power ratio (SINR). Computer simulation confirmed that our new proposal reduced the required number of data symbols by 34.6%. In addition, the 5th percentile SINR was also improved by 14.3 dB.
引用
收藏
页码:1503 / 1511
页数:9
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