Title

Optimization of a Power Splitting Protocol for Two-Way Multiple Energy Harvesting Relay System

Abstract

Energy harvesting (EH) combined with cooperative communications constitutes a promising solution for future wireless technologies. It enables additional efficiency and increased lifetime to wireless networks. This paper investigates a multiple-relay selection scheme for an EH-based two-way relaying (TWR) system. All relays are considered EH nodes that harvest energy from renewable energy and radio frequency (RF) sources. Some of them are selected to forward data to the destinations. The power splitting (PS) protocol, by which the EH node splits the input RF signal into two components for EH and information transmission, is adopted at the relay nodes. The objective is to jointly optimize: 1) the set of selected relays; 2) their PS ratios; and 3) their transmit power levels in order to maximize data rate-based utilities over multiple coherent time slots. A joint-optimization solution based on geometric programming (GP) and binary particle swarm optimization is proposed to solve non-convex problems for two utility functions reflecting the level of fairness in the TWR transmission. Numerical results illustrate the system's behavior versus various parameters and show that the performance of the proposed scheme is very close to that of the optimal branch-and-bound method and that GP outperforms the dual problem-based method.

Meeting Name

2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 (2017: Mar. 19-22, San Francisco, CA)

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

Cooperative communication; Energy harvesting; Mathematical programming; Numerical methods; Particle swarm optimization (PSO); Wireless telecommunication systems; Binary particle swarm optimization; Green communications; Information transmission; Multiple relay selections; Power splitting; Radio frequency source; Two-way relaying; Wireless technologies; Branch and bound method; Multiple-relay selection

International Standard Serial Number (ISSN)

2473-2400

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2017 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Dec 2017

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