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http://dx.doi.org/10.6109/jkiice.2016.20.7.1249

Energy Efficient Transmit Antenna Selection Scheme in Multi-User Massive MIMO Networks  

Jeong, Moo-Woong (Department of Information and Communication Engineering, Gyeongsang National University)
Ban, Tae-Won (Department of Information and Communication Engineering, Gyeongsang National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.20, no.7, 2016 , pp. 1249-1254 More about this Journal
Abstract
Recently, there have been many researches which can achieve high data rate in multi-user massive MIMO networks while reducing the complexity in terms of both hardware and algorithm. In addition, many researches have been conduced to reduce the energy consumption in next generation mobile communication networks. In this paper, we thus investigated new transmit antenna selection scheme to achieve low computational complexity and enhance energy efficiency in multi-user massive MIMO networks. First, we introduced the optimal scheme based on Brute-Force searching to maximize the energy efficiency and then proposed new antenna selection scheme to dramatically reduce the computational complexity compared to the optimal scheme. As the number of transmit antennas increases, the complexity of the optimal scheme exponentially increases while the complexity of the proposed scheme linearly increases. Nevertheless, the energy efficiency performance gap between proposed and optimal schemes is not huge.
Keywords
MIMO; Multi-User Massive MIMO Networks; Energy Efficiency; Antenna Selection;
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