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Wireless Communications and Mobile Computing - Volume 2017 2017, Article ID 3463950, 6 pages - https:-doi.org-10.1155-2017-3463950

Research Article

Smart Radio Communication System Lab., Department of Electrical and Electronic Engineering, Chungbuk National University, Cheongju, Chungbuk 28644, Republic of Korea

5G Giga Communication Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon 34129, Republic of Korea

Correspondence should be addressed to Kyung-Seok Kim

Received 7 February 2017; Revised 5 May 2017; Accepted 22 May 2017; Published 18 June 2017

Academic Editor: Jung H. Lee

Copyright © 2017 Byung-Jin Lee et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Massive multiple-input multiple-output MIMO systems are a core technology designed to achieve the performance objectives defined for 5G wireless communications. They achieve high spectral efficiency, reliability, and diversity gain. However, the many radio frequency chains required in base stations equipped with a high number of transmit antennas imply high hardware costs and computational complexity. Therefore, in this paper, we investigate the use of a transmit-antenna selection scheme, with which the number of required radio frequency chains in the base station can be reduced. This paper proposes two efficient transmit-antenna selection TAS schemes designed to consider a trade-off between performance and computational complexity in massive MIMO systems. The spectral efficiency and computational complexity of the proposed schemes are analyzed and compared with existing TAS schemes, showing that the proposed algorithms increase the TAS performance and can be used in practical systems. Additionally, the obtained results enable a better understanding of how TAS affects massive MIMO systems.

Author: Byung-Jin Lee, Sang-Lim Ju, Nam-il Kim, and Kyung-Seok Kim

Source: https://www.hindawi.com/


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