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Distributed power splitting for SWIPT in relay interference channels using game theory

机译:基于博弈论的中继干扰信道中SWIPT的分布式功率分配

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摘要

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 algorithm with provable convergence to achieve the NEs is also developed. Subsequently, the developed framework is extended to the more general network setting with mixed AF and DF relays. All the theoretical analyses are validated by extensive numerical results. Simulation results show that the proposed game-theoretical approach can achieve a near-optimal network-wide performance on average, especially for the scenarios with relatively low and moderate interference.
机译:在本文中,我们考虑了中继干扰信道中的同时无线信息和功率传输(SWIPT),其中多个源-目标对通过其专用的能量收集中继进行通信。每个中继都需要将其从源接收的信号分成两个流:一个流用于信息转发,另一个流用于能量收集。我们使用博弈论开发了分布式功率分配框架,以得出所有继电器的功率分配比的概况,这些继电器可以实现良好的全网性能。具体而言,分别为纯放大转发(AF)网络和解码转发(DF)网络制定了非合作游戏,其中每个链接均被建模为旨在最大化其自身可实现速率的战略参与者。分析了制定博弈的纳什均衡(NE)的存在性和唯一性,并开发了一种可证明收敛的分布式算法来实现NE。随后,使用混合的AF和DF中继将开发的框架扩展到更通用的网络设置。所有的理论分析都得到了广泛的数值结果的验证。仿真结果表明,所提出的博弈论方法平均可以在网络范围内达到最佳性能,特别是对于干扰程度相对较低和中等的情况。

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