Power allocation for pre-coding-aided spatial modulation

Li, You, Lei, Xia, Xiao, Yue, Yang, Ping, Zheng, Chen, and Xiang, Wei (2018) Power allocation for pre-coding-aided spatial modulation. IEEE Communications Letters, 22 (5). pp. 1094-1097.

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In this letter, power allocation (PA) algorithms based on the minimization of the upper bound of the instantaneous bit error probability (BEP) are investigated in pre-coding-aided spatial modulation (PSM) systems. First, an upper bound of the instantaneous REP is derived when PA is taken into account for the antennas in the PSM system. Moreover, the optimal solution of the PA matrix is derived with the aid of convex optimization techniques, in order to minimize the REP obtained. Furthermore, a low-complexity suboptimal PA algorithm is proposed, where only the dominant part of the BEP upper bound is considered in the optimization process. Simulation results demonstrate that the proposed algorithms improve on the conventional PSM scheme. Furthermore, when the number of receive antennas is large, the performance of the low-complexity suboptimal PA algorithm is close to that of the optimal PA algorithm.

Item ID: 53798
Item Type: Article (Research - C1)
ISSN: 1558-2558
Keywords: pre-coding aided spatial modulation (PSM), power allocation (PA), multiple-input multiple-output (MIMO)
Copyright Information: 1558-2558 © 2018 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
Funders: National Science Foundation of China (NSFC), National Mobile Communications Research Laboratory (NMCRL), National Key Laboratory of Science and Technology on Communications (NKLSTC)
Projects and Grants: NSFC 61471090, NSFC 61671134, NMCRL 2015D09, NKLSTC 6142102010702
Date Deposited: 30 May 2018 07:43
FoR Codes: 40 ENGINEERING > 4006 Communications engineering > 400608 Wireless communication systems and technologies (incl. microwave and millimetrewave) @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8901 Communication Networks and Services > 890103 Mobile Data Networks and Services @ 100%
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