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首页> 外文期刊>IEEE systems journal >On Residual Energy Maximization in Cognitive Relay Networks With Eavesdropping
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On Residual Energy Maximization in Cognitive Relay Networks With Eavesdropping

机译:窃听的认知中继网络中的剩余能量最大化

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This paper addresses a residual energy maximization problem on a two-hop decode-and-forward relay-assisted cognitive radio network operating in a time-slotted mode in the presence of an eavesdropper. In the first time slot, spectrum sensing (SS) and energy harvesting (EH) from the received signal of the primary user (PU) are done simultaneously by the secondary transmitter through power splitting mode. On the next time slot, the secondary transmitter either harvests energy or transmits its own data to the relay node based on the SS decision result. The relay node subsequently either forwards this data or harvests energy based on the activity followed by the secondary transmitter node. Considering both linear and EH models, an optimization nonlinear problem of residual energy maximization is explored under the constraints of sensing reliability of the PU, secondary outage probability, and secrecy outage probability. Closed-form expressions of the sensing time and secondary and relay transmit power are derived both in the presence and absence of an eavesdropper. The impact of eavesdropping on detection probability, false alarm probability, secondary outage probability, and residual energy are analyzed. Simulation results show that about similar to 21.19% and similar to 42.84% gain in total residual energy values are achieved compared to the existing works.
机译:本文研究了在存在窃听者的情况下在时隙模式下工作的两跳解码和转发中继辅助认知无线电网络上的剩余能量最大化问题。在第一个时隙中,辅助发射机通过功率分配模式同时进行主要用户(PU)接收信号的频谱感测(SS)和能量收集(EH)。在下一个时隙,辅助发射机根据SS判决结果收获能量或将其自己的数据发送到中继节点。继而,中继节点随后转发该数据或基于次要发射机节点所遵循的活动来收集能量。同时考虑线性模型和EH模型,在感知PU可靠性,二次中断概率和保密中断概率的约束下,探索了剩余能量最大化的优化非线性问题。在存在和不存在窃听器的情况下,都可以得出感应时间以及辅助和中继发射功率的闭式表达式。分析了窃听对检测概率,虚警概率,二次中断概率和剩余能量的影响。仿真结果表明,与现有工作相比,总剩余能量值大约增加了21.19%,增加了42.84%。

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