Low Complexity Antenna Subset Selection for Massive MIMO Systems with Multi-cell Cooperation

被引：0
|
作者：
Hanif, Muhammad [1 ]
Yang, Hong-Chuan [1 ]
Boudreau, Gary [2 ]
Sich, Edward [2 ]
Seyedmehdi, Hossein [2 ]
机构：
[1] Univ Victoria, Dept Elect & Comp Engn, Victoria, BC, Canada
[2] Ericsson Canada Inc, Ottawa, ON, Canada
来源：
2015 IEEE GLOBECOM WORKSHOPS (GC WKSHPS) | 2015年
关键词：
Antenna subset selection; coordinated multiple point (CoMP); Gram-Schmidt orthogonalization; massive MIMO; zero-forcing beamforming;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Cooperative massive MIMO systems have emerged as an attractive solution to meet the demands of the next generation wireless communication systems. Antenna selection at the base stations can significantly reduce the hardware and computational complexities of such systems. In this paper, we propose three sub-optimal antenna subset selection schemes based on the SNR maximization at the scheduled users with zero-forced beamforming transmission at the base stations. Simulation results show that our proposed schemes outperform other schemes with similar computational complexities and even surpass some of the higher computational complexity schemes in a massive MIMO setting.
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页数：5
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