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Secrecy Energy Efficiency Optimization for Downlink Two-User OFDMA Networks With SWIPT

机译:带有SWIPT的下行链路两用户OFDMA网络的保密能效优化

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摘要

Simultaneous wireless information and power transfer (SWIPT), as a promising technology by which mobile devices are designed by both information decoding and energy harvesting at the same time, has recently drawn significant interests. However, in multiuser scenario, a challenging physical layer security issue arises as the confident messages sent to the intended information receivers may be eavesdropped by other receivers. To address this problem, in this paper, secrecy energy efficiency maximization (SEEM) problem is investigated for two-user orthogonal frequency-division multiple access networks with SWIPT. Specifically, a power splitting scheme is adopted for each user, which would split received radio frequency signals into two independent parts for information decoding and energy harvesting, respectively. Taking both the individual secrecy quality of service requirement and the individual harvested energy constraint into consideration, the SEEM problem is formulated as a nonlinear fractional programming problem. Moreover, according to Dinkelbach's method, a power allocation and power splitting (PAPS) algorithm is proposed by solving the equivalent convex optimization problem. Finally, numerical results verify the impact of static circuit power consumption, maximum transmit power, power split ratio, subcarrier bandwidth, and path loss on secrecy energy efficiency of our PAPS algorithm.
机译:作为一种有前途的技术,同时通过信息解码和能量收集来设计移动设备的同时,无线信息和功率传输(SWIPT)技术引起了人们的极大兴趣。但是,在多用户方案中,由于发送给预期信息接收者的可信消息可能被其他接收者窃听,因此出现了具有挑战性的物理层安全性问题。为了解决这个问题,本文研究了带有SWIPT的两用户正交频分多址网络的保密能效最大化(SEEM)问题。具体地,针对每个用户采用功率分配方案,该功率分配方案会将接收到的射频信号分成两个独立的部分,分别用于信息解码和能量收集。考虑到个人保密服务质量要求和个人收集的能量约束,将SEEM问题表述为非线性分数规划问题。此外,根据Dinkelbach的方法,通过解决等效凸优化问题,提出了一种功率分配和功率分配(PAPS)算法。最后,数值结果验证了静态电路功耗,最大发射功率,功率分配比,子载波带宽和路径损耗对我们PAPS算法的保密能效的影响。

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