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Energy Efficient Artificial Noise-Aided Precoding Design for Visible Light Communication Systems

机译:可见光通信系统的高能效人工噪声辅助预编码设计

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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.
机译:在过去的几年中,物理层安全性(PLS)在可见光通信(VLC)的研究与开发中受到了广泛的关注。在本文中,我们考虑通过人工噪声(AN)辅助的预编码,在存在多个窃听者的情况下改善VLC系统中的PLS。我们的重点是使承载信息的信号和AN的平均总发射功率最小,这要受到合法用户和窃听者的信噪比(SINR)的特定限制。具体而言,该设计旨在保证合法用户的SINR达到最小阈值,同时将窃听者的SINR限制为预定义的最大允许值。最优设计问题被证明是非凸的,因此很难在合理的时间内最优地解决。我们没有找到最优解,而是研究了两种不同的次优但低复杂度的方法来解决该问题,即:连续凸逼近(SCA)和半定松弛(SDR)。数值结果表明了这两种技术的效率。

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