含人工噪声的能量清除覆盖网络保密吞吐量分析

Ngoc Pham-Thi-Dan, Bao Ho-Quoc, Khuong Ho‐Van, Thiem Do-Dac, Phong Nguyen-Huu, Son Vo-Que, Son Pham-Ngoc, Lien Pham-Hong
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引用次数: 4

摘要

具有人工噪声的能量清除覆盖网络(ESONwAN)集成了三种新兴技术(能量收集、认知无线电、物理层安全),以提高频谱利用效率、能源效率和信息安全性,充分满足现代无线系统中大量用户的安全通信需求。本文分析了这些网络在Nakagami-m衰落信道上的保密吞吐量。大量的结果证实了理论分析,并表明二级网络和主网络的保密吞吐量在较好的衰落条件下显着增加,并通过各种选项进行调整,权衡和最大化。
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Secrecy Throughput Analysis of Energy Scavenging Overlay Networks with Artificial Noise
Energy scavenging overlay networks with artificial noise (ESONwAN) integrate three emerging (energy harvesting, cognitive radio, physical layer security) technologies to boost spectrum utilization efficiency, energy efficiency, and message security, which sufficiently provide secured communication demands of an immense number of users in modern wireless systems. This paper analyzes secrecy throughput of these networks over Nakagami-m fading channels. Numerous results corroborate the theoretical analysis and demonstrate that the secrecy throughput of both secondary and primary networks increases significantly with better fading conditions and is adjusted, traded-off and maximized by various options.
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