Artificial Noise Aided Energy Efficiency Optimization in MIMOME System With SWIPT

Artificial Noise Aided Energy Efficiency Optimization in MIMOME System With SWIPT
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使用 SWIPT 的 MIMOME 系统中的人工噪声辅助能效优化

DOI:
10.1109/lcomm.2017.2697951
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发表时间:
2017-04
期刊:
IEEE Communications Letters
影响因子:
--
通讯作者:
Fang Jun
Fang Jun
中科院分区:
其他
文献类型:
--
作者:
Mei Weidong;Chen Zhi;Fang Jun

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本文研究了一般多输入多输出多重窃听系统的能量效率优化问题,在该系统中,合法接收者使用功率分裂(PS)方案来同时解码信息和获取能量。为了削弱窃听者的接收,并为合法的接收者提供能量进行收割,发射机还在传输过程中发出人工噪声(AN)。我们在这封信中感兴趣的是传输协方差矩阵和PS比的联合设计,使得保密能量效率(参见)最大化。SEE最大化问题是一个非凸分数次问题。为了处理它,我们求助于分式规划,把它的目标函数转换成更容易处理的减法形式。此外,通过将其重塑为服从交替优化的等价形式,我们证明了所得到的问题是原始可分解的。数值结果表明,加入AN和PS有利于SEE的增强。
This letter studies energy efficient optimization problem for a general multiple-input multiple-output multiple-eavesdropper system, in which the legitimate receiver exploits a power splitting (PS) scheme for decoding information and harvesting energy simultaneously. In order to cripple the eavesdroppers’ reception and provide energy for the legitimate receiver to harvest, the transmitter also emits artificial noise (AN) in the transmission. Our interest in this letter lies in the joint design of the transmit covariance matrices and PS ratio, such that the secrecy energy efficiency (SEE) is maximized. The SEE maximization problem is a nonconvex fractional problem. To handle it, we resort to the fractional programming to transform its objective function into a more tractable subtractive form. Furthermore, we show that the resultant problem is primal decomposable by recasting it as an equivalent form amenable to alternating optimization. Numerical results indicate that incorporating AN and PS is beneficial to the SEE enhancement.
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