Performance Analysis of MMSE Pre-Coding Aided Spatial Modulation

You Li; Xia Lei; Wanbin Tang; Dongxiao He; Yue Xiao; Wei Xiang

doi:10.1109/ACCESS.2018.2864312

IEEE Access (Jan 2018)

Performance Analysis of MMSE Pre-Coding Aided Spatial Modulation

You Li,
Xia Lei,
Wanbin Tang,
Dongxiao He,
Yue Xiao,
Wei Xiang

Affiliations

You Li: National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China
Xia Lei: National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China
Wanbin Tang: ORCiD; National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China
Dongxiao He: National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China
Yue Xiao: ORCiD; National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China
Wei Xiang: College of Science and Engineering, James Cook University, Cairns, QLD, Australia

DOI: https://doi.org/10.1109/ACCESS.2018.2864312
Journal volume & issue: Vol. 6
pp. 44835 – 44845

Abstract

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Pre-coding aided spatial modulation (PSM) constitutes a flexible closed-loop multiple-input multiple-output transmission scheme, which attracts substantial research interest recently. In this paper, an upper bound of the average bit error probability (ABEP) for the PSM system based on the minimum mean square error (MMSE) pre-coding is investigated. In addition, a theoretical analysis is given based on the assumption that the numbers of transmit and receive antennas are large but their ratio θ is constrained. Furthermore, the theoretical analysis shows that the ABEP upper bound of the PSM system based on MMSE pre-coding depends only on ratio θ. Simulation results demonstrate that the upper bound is asymptotically tight as the signal-to-noise ratio increases, and the proposed system outperforms its benchmark that is based on zero-forcing pre-coding.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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