Distributed Power Splitting for SWIPT in Relay Interference Channels using Game Theory
He Chen, Yonghui Li, Yunxiang Jiang, Yuanye Ma, Branka Vucetic

TL;DR
This paper proposes a game-theoretic distributed power splitting method for SWIPT in relay interference channels, enabling relays to optimize their energy and information transfer strategies for improved network performance.
Contribution
It introduces a novel game-theoretic framework for distributed power splitting in SWIPT relay networks, including analysis of Nash equilibria and a convergent algorithm for both AF and DF relays.
Findings
Achieves near-optimal network performance on average.
Convergent distributed algorithm for power splitting ratios.
Effective in low and moderate interference scenarios.
Abstract
In this paper, we consider simultaneous wireless information and power transfer (SWIPT) in relay interference channels, where multiple source-destination pairs communicate through their dedicated energy harvesting relays. Each relay needs to split its received signal from sources into two streams: one for information forwarding and the other for energy harvesting. We develop a distributed power splitting framework using game theory to derive a profile of power splitting ratios for all relays that can achieve a good network-wide performance. Specifically, non-cooperative games are respectively formulated for pure amplify-and-forward (AF) and decode-and-forward (DF) networks, in which each link is modeled as a strategic player who aims to maximize its own achievable rate. The existence and uniqueness for the Nash equilibriums (NEs) of the formulated games are analyzed and a distributed…
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