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Energy Efficiency Fairness for Multi-Pair Wireless-Powered Relaying Systems
Date Issued
2018-09-27
Date Available
2019-05-29T07:30:31Z
Abstract
We consider a multi-pair amplify-and-forward relay network where the energy-constrained relays adopting the time-switching protocol harvest energy from the radio-frequency signals transmitted by the users for assisting user data transmission. Both one-way and two-way relaying techniques are investigated. Aiming at energy efficiency (EE) fairness among the user pairs, we construct an energy consumption model incorporating rate-dependent signal processing power, the dependence on output power level of power amplifiers’ efficiency, and nonlinear energy harvesting (EH) circuits. Then, we formulate the max-min EE fairness problems in which the data rates, users’ transmit power, relays’ processing coefficient, and EH time are jointly optimized under the constraints on the quality of service and users’ maximum transmit power. To achieve efficient suboptimal solutions to these nonconvex problems, we devise monotonic descent algorithms based on the inner approximation (IA) framework, which solve a second-order-cone program in each iteration. To further simplify the designs, we propose an approach combining IA and zero-forcing beamforming, which eliminates inter-pair interference and reduces the numbers of variables and required iterations. Finally, extensive numerical results are presented to validate the proposed approaches. More specifically, the results demonstrate that ignoring the realistic aspects of power consumption might degrade the performance remarkably, and jointly designing parameters involved could significantly enhance the EE.
Sponsorship
Science Foundation Ireland
Other Sponsorship
Academy of Finland
HPY Research Foundation
Nokia Foundation
Walter Ahlström Foundation
Finnish Foundation for Technology Promotion
Tauno Tönning Foundation
Type of Material
Journal Article
Publisher
IEEE
Journal
IEEE Journal on Selected Areas in Communications
Volume
37
Issue
2
Start Page
357
End Page
373
Copyright (Published Version)
2018 IEEE
Language
English
Status of Item
Peer reviewed
ISSN
0733-8716
This item is made available under a Creative Commons License
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