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Optimal Time Switching-Based Policies for Efficient Transmit Power in Wireless Energy Harvesting Small Cell Cognitive Relaying Networks

机译:基于最佳时间切换的无线能量收集小型电池认知中继网络的高效发射功率策略

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摘要

In this paper, we consider a half-duplex decode-and-forward small cell cognitive relay network, in which the source and the relay node are allocated with spectrum shared by the macro cell primary transmitter (MPT). In order to develop a practical design, we propose two time switching-based policies to optimize the maximum transmit power at source and relay so-called Optimal Time for Transmit Power at Source and Optimal Time for Transmit Power at Relay related to wireless energy harvesting for the considered network, thanks to the advantages of MPT. Additionally, we provide closed-form expressions for outage probability for the proposed policies. Furthermore, to achieve more genuine understandings of the successful data transmission of the small cells, we also consider the delay-constraint throughput, the rate-energy trade-off and the average energy efficiency by giving numerical and simulation results.
机译:在本文中,我们考虑了一个半双工解码和前进的小单元认知中继网络,其中源和中继节点被分配,通过宏小区主发送器(MPT)共享的频谱分配。 为了开发实用的设计,我们提出了两次基于切换的策略,以优化源的最大发射功率和中继的最佳时间,以及用于在与无线能量收集相关的中继的传输功率的发射功率的最佳时间。 由于MPT的优点,所考虑的网络。 此外,我们提供了拟议政策的中断概率的封闭式表达式。 此外,为了实现更真实的对小细胞数据传输的更真实理解,我们还通过提供数值和模拟结果来考虑延迟约束吞吐量,速率 - 能量折衷和平均能效。

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