Enhanced receive spatial modulation based on power allocation

Yang, Ping, Xiao, Yue, Xiao, Ming, Zhu, Jing, Li, Shaoqian, and Xiang, Wei (2019) Enhanced receive spatial modulation based on power allocation. IEEE Journal on Selected Topics in Signal Processing, 13 (6). pp. 1312-1325.

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Abstract

In this paper, we investigate the benefits of power allocation (PA) for multiple-input multiple-output (MIMO) receive spatial modulation (RSM) with both a total transmit power constraint (TTPC) and a per-antenna power constraint (PAPC). First, we derive optimal PA closed-form solutions that maximize the minimum distance d(min) between the received signal points for (N-t x 2)-element RSM with arbitrary phase-shift keying schemes (where N-t is the number of transmit antennas) subject to a TTPC. Based on the derived solutions and the error vector reduction (EVR) method, we propose a low-complexity iterative algorithm to identify PA parameters for high numbers of receive antennas (N-r >= 2). Specifically, the EVR-based PA (EVR-PA) algorithm resembles its traditional exhaustive-search-based counterpart, but only exploits the receive distances of a few dominant error vectors to iteratively optimize the PA matrix. Then, a more strict yet practical PAPC is considered for PA in RSM-MIMO systems, and a well-designed approximate convex optimization (ACO)-based iterative PA algorithm is proposed. Compared to EVR-PA, the ACO-based PA (ACO-PA) algorithm first formulates the PA problems with the PAPC in RSM into constrained quadratic program problems and then utilizes the powerful augmented Lagrangian multiplier to find their optimal solutions. Our simulation results show that the proposed EVR-PA- and ACO-PA-aided RSM schemes outperform the equal-power-allocated RSM- and PA-aided spatial multiplexing schemes.

Item ID: 61220
Item Type: Article (Research - C1)
ISSN: 1941-0484
Keywords: Link adaptation, pre-coding aided spatial modulation (PSM), per-antenna power constraints, power allocation (PA), receive spatial modulation (RSM)
Copyright Information: © 2019 IEEE.
Funders: National Key R&D Program of China (NKRDPC), National Science Foundation of China (NSFC), Fundamental Research Funds for the Central Universities (FRFCU), Swedish Strategic Research Foundation (SSRF), European Union (EU)
Projects and Grants: NKRDPC Grant 2017YFE0121500, NSFC Grant 61501095, FRFCU Grant 2672018ZYGX2018J090, SSRF Project “High-reliable low-latency industrial wireless communications”, EU Marie Sklodowska-Curie Actions Project entitled “Highreliability low-latency communications with network coding.”
Date Deposited: 18 Dec 2019 07:54
FoR Codes: 40 ENGINEERING > 4006 Communications engineering > 400602 Data communications @ 100%
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