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RF-Based Energy Harvesting in Decode-and-Forward Relaying Systems: Ergodic and Outage Capacities

机译:解码转发中继系统中基于射频的能量收集:遍历和中断能力

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摘要

Radio-frequency energy harvesting constitutes an effective way to prolong the lifetime of wireless networks, wean communication devices off the battery and power line, benefit the energy saving and lower the carbon footprint of wireless communications. In this paper, an interference aided energy harvesting scheme is proposed for cooperative relaying systems, where energy-constrained relays harvest energy from the received information signal and co-channel interference signals, and then use that harvested energy to forward the correctly decoded signal to the destination. The time-switching scheme (TS), in which the receiver switches between decoding information and harvesting energy, as well as the power-splitting scheme (PS), where a portion of the received power is used for energy harvesting and the remaining power is utilized for information processing, are adopted separately. Applying the proposed energy harvesting approach to a decode-and-forward relaying system with the three-terminal model, the analytical expressions of the ergodic capacity and the outage capacity are derived, and the corresponding achievable throughputs are determined. Comparative results are provided and show that PS is superior to TS at high signal-to-noise ratio (SNR) in terms of throughput, while at low SNR, TS outperforms PS. Furthermore, considering different interference power distributions with equal aggregate interference power at the relay, the corresponding system capacity relationship, i.e., the ordering of capacities, is obtained.
机译:射频能量收集是延长无线网络寿命,使通信设备脱离电池和电源线,降低能耗并降低无线通信碳足迹的有效方法。本文提出了一种用于协作中继系统的干扰辅助能量收集方案,其中受能量限制的中继从接收到的信息信号和同信道干扰信号中收集能量,然后使用该收集的能量将正确解码的信号转发给接收器。目的地。时间切换方案(TS),其中接收机在解码信息和收获能量之间进行切换,以及功率分配方案(PS),其中一部分接收功率用于能量收集,剩余功率为用于信息处理的信息,单独采用。将所提出的能量收集方法应用于具有三终端模型的解码转发中继系统中,得出了遍历容量和中断容量的解析表达式,并确定了相应的可实现吞吐量。提供的比较结果表明,在吞吐量方面,PS在高信噪比(SNR)方面优于TS,而在低SNR时,TS优于PS。此外,考虑中继器处具有相等的总干扰功率的不同干扰功率分布,可以获得对应的系统容量关系,即容量的排序。

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