A full-duplex, amplify-and-forward multiple relay system employing simultaneous wireless information and power transfer receivers operating in interference channels is studied. Since all links want to maximize their own achievable rate, a power allocation problem under transmit power and energy harvesting constraints is developed. Through alternative optimization, a distributed iterative water-filling algorithm based on game theory with provable convergence is devised. The existence and uniqueness of a Nash equilibrium point are both guaranteed and the convergence of the proposed algorithm is examined using a diagonally strict concavity condition. Numerical results show that the proposed algorithm is convergent and can achieve a higher sum rate than previous schemes.

中文翻译：

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使用博弈论在全双工 AF 中继干扰信道中为 SWIPT 分配功率

研究了一种采用同步无线信息和功率传输接收器在干扰信道中工作的全双工、放大转发多中继系统。由于所有链路都希望最大化其自身可实现的速率，因此开发了发射功率和能量收集约束下的功率分配问题。通过交替优化，设计了一种基于博弈论的具有可证明收敛性的分布式迭代注水算法。纳什均衡点的存在性和唯一性都得到保证，并且使用对角严格凹面条件检查所提出算法的收敛性。数值结果表明，所提出的算法是收敛的，可以实现比以前的方案更高的求和率。