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Title: Optimization and analysis of wireless powered multi-antenna cooperative systems
Authors: Liang, Han
Zhong, Caijun
Suraweera, Himal A.
Zheng, Gan
Zhang, Zhaoyang
Keywords: Beamforming
Wireless powered communications
Issue Date: 2017
Publisher: © IEEE
Citation: LIANG, H. ... et al, 2017. Optimization and analysis of wireless powered multi-antenna cooperative systems. IEEE Transactions on Wireless Communications, 16 (5), pp. 3267-3281.
Abstract: In this paper, we consider a three-node cooperative wireless powered communication system consisting of a multi-antenna hybrid access point (H-AP) and a single-antenna relay and a single-antenna user. The energy constrained relay and user first harvest energy in the downlink and then the relay assists the user using the harvested power for information transmission in the uplink. The optimal energy beamforming vector and the time split between harvest and cooperation are investigated. To reduce the computational complexity, suboptimal designs are also studied, where closed-form expressions are derived for the energy beamforming vector and the time split. For comparison purposes, we also present a detailed performance analysis in terms of the achievable outage probability and the average throughput of an intuitive energy beamforming scheme, where the H-AP directs all the energy towards the user. The findings of the paper suggest that implementing multiple antennas at the H-AP can significantly improve the system performance, and the closed-form suboptimal energy beamforming vector and time split yields near optimal performance. Also, for the intuitive beamforming scheme, a diversity order of N+1/2 can be achieved, where N is the number of antennas at the H-AP.
Description: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor: This work was supported in part by the National Natural Science Foundation of China under Grant 61671406, in part by the Zhejiang Provincial Natural Science Foundation of China under Grant LR15F010001, and in part by the Opening Project of Key Laboratory of Cognitive Radio and Information Processing through the Ministry of Education (Guilin University of Electronic Technology) under Grant CRKL160201. The work of G. Zheng was supported by UK EPSRC under Grant EP/N007840/1.
Version: Accepted for publication
DOI: 10.1109/TWC.2017.2679005
URI: https://dspace.lboro.ac.uk/2134/25932
Publisher Link: http://dx.doi.org/10.1109/TWC.2017.2679005
ISSN: 1536-1276
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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