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Joint Power and Time Resource Optimization in Full-Duplex Wireless-Powered Communication Networks

机译:全双工无线通信网络中的联合功率和时间资源优化

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Full-duplex wireless-powered communication networks (FD-WPCNs) permit wireless devices (WDs) to transmit information while simultaneously harvesting energy from radio signals. This paper studies the protocol designs for fair resource allocation in FD-WPCNs. We design a Harvest-and-Transmit protocol to coordinate information transmission and energy harvesting in FD-WPCNs. Based on this protocol, the sum-capacity maximization problem under the minimum user rate constraint and the max-min rate optimization problem are formulated in the FD-WPCN with an information access point (IAP) that is separate from the energy access point (EAP). Using the difference of convex programming (DCP), iterative algorithms with low computational complexity are designed to obtain the global optimal solution, and their convergence is proven. Simulation results indicate that an FD-WPCN can achieve double the throughput compared with that of a half-duplex WPCN. Moreover, the proposed iterative algorithms are able to achieve the performance nearly identical to the theoretical upper bound.
机译:全双工无线通信网络(FD-WPCN)允许无线设备(WD)传输信息,同时从无线电信号中获取能量。本文研究了FD-WPCN中公平资源分配的协议设计。我们设计了一个“收集并传输”协议来协调FD-WPCN中的信息传输和能量收集。基于此协议,在FD-WPCN中用与能量访问点(EAP)分开的信息访问点(IAP)来阐述最小用户速率约束下的总容量最大化问题和最大最小速率优化问题。 )。利用凸规划(DCP)的差异,设计了计算复杂度低的迭代算法来获得全局最优解,并证明了它们的收敛性。仿真结果表明,与半双工WPCN相比,FD-WPCN可以实现两倍的吞吐量。此外,所提出的迭代算法能够实现几乎与理论上限相同的性能。

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