Energy Efficient Artificial Noise-Aided Precoding Design for Visible Light Communication Systems
Energy Efficient Artificial Noise-Aided Precoding Design for Visible Light Communication Systems
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DOI：
10.1109/icnc47757.2020.9049803
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发表时间：
2020-02
期刊：
影响因子：
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通讯作者：
Thanh V. Pham;A. Pham
中科院分区：
文献类型：
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作者：
Thanh V. Pham;A. Pham
过去几年，物理层安全（PLS）在可见光通信（VLC）的研究和开发中获得了广泛关注。在本文中，我们考虑通过人工噪声（AN）辅助预编码来改进存在多个窃听者的 VLC 系统中的 PLS。我们的重点是在合法用户和窃听者的信号与干扰加噪声比 (SINR) 的特定限制下，最大限度地降低信息承载信号和 AN 的平均总发射功率。特别是，该设计旨在保证合法用户的 SINR 的最小阈值，同时将窃听者的 SINR 限制在预定义的最大允许值。优化设计问题被证明是非凸的，因此很难在合理的时间内进行优化求解。我们没有寻找最优解，而是研究了两种不同的次优但低复杂度的方法来解决问题，即：连续凸逼近（SCA）和半定松弛（SDR）。给出的数值结果说明了两种技术的效率。
Physical layer security (PLS) has gained a lot of attention in the research and development of visible light communication (VLC) over the past few years. In this paper, we consider improving PLS in VLC systems with the presence of multiple eavesdroppers by means of artificial noise (AN)-aided precoding. Our focus is on minimizing the average total transmit power of the information-bearing signal and the AN subject to specific constraints on the signal-to-interference-plusnoise ratios (SINRs) of the legitimate user and eavesdroppers. In particular, the design aims at guaranteeing a minimum threshold on the legitimate user’s SINR while limiting the eavesdroppers’ SINRs to a predefined maximum allowable value. The optimal design problem is shown to be non-convex, thus it is difficult to optimally solve in reasonable time. Instead of finding the optimal solution, we investigate two different sub-optimal yet low-complexity approaches to solve the problem, namely: Successive Convex Approximation (SCA) and Semidefinite Relaxation (SDR). Numerical results are presented to illustrate the efficiency of the two techniques.