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Secure D2D Communication in Large-Scale Cognitive Cellular Networks: A Wireless Power Transfer Model

机译:大规模认知蜂窝网络中的安全D2D通信:无线功率传输模型

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摘要

In this paper, we investigate secure device-to-device (D2D) communication in energy harvesting large-scale cognitive cellular networks. The energy constrained D2D transmitter harvests energy from multiantenna equipped power beacons (PBs), and communicates with the corresponding receiver using the spectrum of the primary base stations (BSs). We introduce a power transfer model and an information signal model to enable wireless energy harvesting and secure information transmission. In the power transfer model, three wireless power transfer (WPT) policies are proposed: 1) co-operative power beacons (CPB) power transfer, 2) best power beacon (BPB) power transfer, and 3) nearest power beacon (NPB) power transfer. To characterize the power transfer reliability of the proposed three policies, we derive new expressions for the exact power outage probability. Moreover, the analysis of the power outage probability is extended to the case when PBs are equipped with large antenna arrays. In the information signal model, we present a new comparative framework with two receiver selection schemes: 1) best receiver selection (BRS), where the receiver with the strongest channel is selected; and 2) nearest receiver selection (NRS), where the nearest receiver is selected. To assess the secrecy performance, we derive new analytical expressions for the secrecy outage probability and the secrecy throughput considering the two receiver selection schemes using the proposed WPT policies. We presented Monte carlo simulation results to corroborate our analysis and show: 1) secrecy performance improves with increasing densities of PBs and D2D receivers due to larger multiuser diversity gain; 2) CPB achieves better secrecy performance than BPB and NPB but consumes more power; and 3) BRS achieves better secrecy performance than NRS but demands more instantaneous feedback and overhead. A pivotal conclusion- is reached that with increasing number of antennas at PBs, NPB offers a comparable secrecy performance to that of BPB but with a lower complexity.
机译:在本文中,我们研究了能量收集大型认知蜂窝网络中的安全设备到设备(D2D)通信。受能量限制的D2D发送器从配备多天线的功率信标(PB)收集能量,并使用主要基站(BS)的频谱与相应的接收器进行通信。我们介绍了一种功率传输模型和一个信息信号模型,以实现无线能量收集和安全的信息传输。在功率传输模型中,提出了三种无线功率传输(WPT)策略:1)协作功率信标(CPB)功率传输; 2)最佳功率信标(BPB)功率传输;以及3)最近功率信标(NPB)动力传递。为了表征所提出的三种策略的电力传输可靠性,我们得出了精确的停电概率的新表达式。而且,断电概率的分析扩展到了PB配备大型天线阵列的情况。在信息信号模型中,我们提出了一种具有两种接收器选择方案的新的比较框架:1)最佳接收器选择(BRS),即选择具有最强信道的接收器; 2)最近的接收者选择(NRS),其中选择了最近的接收者。为了评估保密性能,我们考虑了使用建议的WPT策略的两种接收器选择方案,得出了保密中断概率和保密吞吐量的新分析表达式。我们给出了蒙特卡罗仿真结果以证实我们的分析,并表明:1)由于更大的多用户分集增益,保密性能随着PB和D2D接收机密度的增加而提高; 2)CPB的保密性能比BPB和NPB更好,但消耗的功率更多; (3)BRS比NRS具有更好的保密性能,但是需要更多的瞬时反馈和开销。一个关键的结论是,随着PB天线数量的增加,NPB的保密性能可与BPB媲美,但复杂度较低。

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