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Time domain spectrum sharing with wireless power transfer in cognitive radio network

机译:认知无线电网络中的无线功率传输时域频谱共享

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The spectrum sharing is able to meet the increasing data transmission requirements over the limited spectrum bands, while the energy harvesting is a promising technique to make the network sustainable by self-recharging the terminals. For the cognitive radio network with one primary link and one secondary link, we propose a time-domain spectrum sharing scheme based on the wireless energy transfer (WET). The secondary transmitter (ST) can wirelessly transfer energy along with the primary base station (PB) to the primary user equipment (UE). The UE can forward its primary data to the PB over the uplink using the harvested energy, while the ST is allowed to access the spectrum and transmit its own data for a time. The main idea is that the secondary system supplies energy to the primary system and acquires the spectrum for the secondary data transmission. Considering the dependence of the energy and data transfer, we analyze the throughput of both systems under the peak power constraint. The time allocations are determined by maximizing the throughput of secondary system while guaranteeing the throughput requirement of primary system. Simulation results are provided to validate our theoretical analysis and the numerical results reveal the impacts of various parameter configurations to the system performance.
机译:频谱共享能够满足在有限频谱范围内不断增长的数据传输要求,而能量收集是一种通过对终端进行自我充电来使网络可持续发展的有前途的技术。对于具有一个主链路和一个辅助链路的认知无线电网络,我们提出了一种基于无线能量传输(WET)的时域频谱共享方案。辅助发射器(ST)可以将能量与主要基站(PB)一起无线传输到主要用户设备(UE)。 UE可以使用所收集的能量在上行链路上将其主要数据转发到PB,同时允许ST在一段时间内访问频谱并发送其自己的数据。主要思想是,辅助系统将能量提供给主系统,并获取频谱以用于辅助数据传输。考虑到能量和数据传输的依赖性,我们分析了在峰值功率约束下两个系统的吞吐量。时间分配是通过在确保主系统吞吐量要求的同时最大化辅助系统的吞吐量来确定的。提供仿真结果以验证我们的理论分析,数值结果揭示了各种参数配置对系统性能的影响。

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