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Throughput Maximization in Dual-Hop Wireless Powered Communication Networks

机译:双跳无线供电通信网络中的吞吐量最大化

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In this paper, we study a dual-hop wireless powered communication network, where the communication between a hybrid access point (HAP) and a number of users is assisted by energy-constrained relays, which need to harvest energy from radio-frequency (RF) signals broadcast by the HAP. In order to power the relays for assisting the uplink communication, the HAP broadcasts a dedicated energy signal in the downlink. Each relay harvests energy from this signal and utilizes the harvested energy in forwarding its corresponding user's data to the HAP. In downlink communication, relays exploit a power-splitting strategy and use the information signal broadcast by the HAP for both energy harvesting and information forwarding. Under this setup, we are interested in maximizing the total uplink and downlink throughput. First, we propose an algorithm for solving uplink throughput maximization problem, which optimizes time allocations for energy and information transfer. For downlink throughput maximization, we obtain a near-optimal solution by optimizing time allocations and power splitting ratios iteratively. Finally, we conduct numerical simulations to evaluate the performance of the proposed algorithms.
机译:在本文中,我们研究了一种双跳无线供电的通信网络,其中混合接入点(HAP)与许多用户之间的通信由能量受限的中继器协助,该中继器需要从射频(RF)收集能量。 )由HAP广播的信号。为了给中继器供电以辅助上行链路通信,HAP在下行链路中广播专用能量信号。每个中继都从该信号中收集能量,并利用收集的能量将其相应的用户数据转发到HAP。在下行链路通信中,中继利用功率分配策略,并将HAP广播的信息信号用于能量收集和信息转发。在这种设置下,我们对最大化总的上行链路和下行链路吞吐量感兴趣。首先,我们提出了一种解决上行链路吞吐量最大化问题的算法,该算法优化了能量和信息传输的时间分配。对于下行链路吞吐量最大化,我们通过迭代优化时间分配和功率分配比来获得接近最佳的解决方案。最后,我们进行数值模拟以评估所提出算法的性能。

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