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International Journal of Antennas and Propagation
Volume 2014, Article ID 159375, 11 pages
http://dx.doi.org/10.1155/2014/159375
Research Article

Low-Complexity Transmit Antenna Selection and Beamforming for Large-Scale MIMO Communications

School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China

Received 21 January 2014; Revised 29 April 2014; Accepted 19 May 2014; Published 6 August 2014

Academic Editor: Ahmed Iyanda Sulyman

Copyright © 2014 Kun Qian 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.

Abstract

Transmit antenna selection plays an important role in large-scale multiple-input multiple-output (MIMO) communications, but optimal large-scale MIMO antenna selection is a technical challenge. Exhaustive search is often employed in antenna selection, but it cannot be efficiently implemented in large-scale MIMO communication systems due to its prohibitive high computation complexity. This paper proposes a low-complexity interactive multiple-parameter optimization method for joint transmit antenna selection and beamforming in large-scale MIMO communication systems. The objective is to jointly maximize the channel outrage capacity and signal-to-noise (SNR) performance and minimize the mean square error in transmit antenna selection and minimum variance distortionless response (MVDR) beamforming without exhaustive search. The effectiveness of all the proposed methods is verified by extensive simulation results. It is shown that the required antenna selection processing time of the proposed method does not increase along with the increase of selected antennas, but the computation complexity of conventional exhaustive search method will significantly increase when large-scale antennas are employed in the system. This is particularly useful in antenna selection for large-scale MIMO communication systems.