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Cooperative Power Management in Energy Harvesting Communication Systems in Presence of a Helper

机译:在助手帮助下的能量收集通信系统中的协作电源管理

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We investigate end-to-end throughput maximization problem for an energy harvesting (EH) single user channel in presence of an energy cooperating helper. The EH helper transfers energy to the EH battery-limited transmitter and receiver nodes. These nodes impose energy causality and energy saving constraints on the power consumption. Both of the transmitter and the receiver harvest energy from nature, and also from the helper via energy cooperation links. The EH receiver requires energy for message decoding process which is called the decoding cost. Then, based on status of the batteries at the transmitter and the receiver, five scenarios are investigated. To maximize the achievable throughput, we propose iterative directional waterfilling algorithms based on minimum and maximum constraint violations. Then as a general model, a backward iterative algorithm (based on combination of optimization in feasibility tunnel and directional waterfilling with variable minimum constraints) is presented. Finally, numerical results are presented to highlight the advantages of energy cooperating helper.
机译:我们调查在存在能量协作助手的情况下,能量收集(EH)单用户通道的端到端吞吐量最大化问题。 EH帮助程序将能量传输到受EH电池限制的发送器和接收器节点。这些节点对功耗施加了因果关系和节能约束。发射器和接收器都从自然界以及通过能量合作链接从助手中收集能量。 EH接收机需要用于消息解码过程的能量,这称为解码成本。然后,根据发射器和接收器处电池的状态,研究了五种情况。为了最大化可实现的吞吐量,我们提出了基于最小和最大约束违例的迭代定向注水算法。然后,作为通用模型,提出了一种反向迭代算法(基于可行性隧道中的优化和可变最小约束的定向注水的组合)。最后,数值结果表明了能量协同助手的优势。

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