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SWIPT for MISO Wiretap Networks: Channel Uncertainties and Nonlinear Energy Harvesting Features

机译:MISO窃听网络的SWIPT:通道不确定性和非线性能量收集功能

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This paper investigates the power minimization problem for a simultaneous wireless information and power transfer (SWIPT) system in MISO wiretap networks, where one multiple-antenna transmitter intends to transmit required amount of information and energy to its legitimate receiver while restrict the information leakage to an eavesdropper (Eve). The nonlinear EH model is employed for SWIPT. Two uncertainty MISO channel models are considered for the legitimate receiver, i.e. the deterministic uncertainty model (DUM) and the stochastic uncertainty model (SUM), and the Eve is assumed not to feed back its channel to the transmitter. For the DUM, the worst-case design with global optimum is solved by our proposed method based on semidefinite relaxation (SDR) and S-procedure. For the SUM, the statistically robust design with a tight upper bound to global optimum is obtained by our proposed method based on SDR and Bernstein-type inequality. Numerous simulation results demonstrate the validity and efficiency of our proposed robust transmit design methods. Compared with the traditional linear EH model, employing the nonlinear EH model can avoid false output power at the legitimate receiver or save power consumption at the transmitter as the real circuits are working in the nonlinear output field rather than the linear one.
机译:本文研究了MISO窃听网络中同时进行无线信息和功率传输(SWIPT)系统的功率最小化问题,在该系统中,一个多天线发射器打算向其合法接收器发射所需量的信息和能量,同时将信息泄漏限制在一个范围之内。窃听者(夏娃)。非线性EH模型用于SWIPT。对于合法接收者,考虑了两个不确定性MISO信道模型,即确定性不确定性模型(DUM)和随机不确定性模型(SUM),并且假定Eve不将其信道反馈给发射机。对于DUM,我们提出的基于半定松弛(SDR)和S过程的方法解决了具有全局最优的最坏情况设计。对于SUM,通过我们基于SDR和Bernstein型不等式的拟议方法,获得了具有全局最优上限严格的统计鲁棒性设计。大量仿真结果证明了我们提出的鲁棒传输设计方法的有效性和效率。与传统的线性EH模型相比,采用非线性EH模型可以避免在合法接收器处产生错误的输出功率,或节省发射器中的功耗,因为实际电路是在非线性输出领域而不是线性领域中工作。

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