Design of Energy-Efficient Artificial Noise for Physical Layer Security in Visible Light Communications

IF 5.3 2区 计算机科学 Q1 TELECOMMUNICATIONS IEEE Transactions on Green Communications and Networking Pub Date : 2024-01-18 DOI:10.1109/TGCN.2024.3355894
Thanh V. Pham;Anh T. Pham;Susumu Ishihara
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Abstract

This paper studies the design of energy-efficient artificial noise (AN) schemes in the context of physical layer security in visible light communications (VLC). Two different transmission schemes termed selective AN-aided single-input single-output (SISO) and AN-aided multiple-input single-output (MISO) are examined and compared in terms of secrecy energy efficiency (SEE). In the former, the closest LED luminaire to the legitimate user (Bob) is the information-bearing signal’s transmitter. At the same time, the rest of the luminaries act as jammers transmitting AN to degrade the channels of eavesdroppers (Eves). In the latter, the information-bearing signal and AN are combined and transmitted by all luminaries. When Eves’ CSI is unknown, an indirect design to improve the SEE is formulated by maximizing Bob’s channel’s energy efficiency. A low-complexity design based on the zero-forcing criterion is also proposed. In the case of known Eves’ CSI, we study the design that maximizes the minimum SEE among those corresponding to all eavesdroppers. At their respective optimal SEEs, simulation results reveal that when Eves’ CSI is unknown, the selective AN-aided SISO transmission can archive twice as good SEE as the AN-aided MISO does. In contrast, when Eves’ CSI is known, the AN-aided MISO outperforms by 30%.
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为可见光通信物理层安全设计高能效人工噪声
本文在可见光通信(VLC)物理层安全的背景下,研究了高能效人工噪声(AN)方案的设计。本文研究了两种不同的传输方案,分别称为选择性人工噪音辅助单输入单输出(SISO)和人工噪音辅助多输入单输出(MISO),并从保密能效(SEE)的角度进行了比较。在前者中,离合法用户(Bob)最近的 LED 灯具是信息信号的发射器。同时,其他灯具充当干扰器,发射 AN 以削弱窃听者(Eves)的信道。在后一种情况下,信息信号和 AN 合并后由所有灯具发射。当 Eves 的 CSI 未知时,可以通过最大化 Bob 信道的能效来间接设计改进 SEE。此外,还提出了一种基于零强迫准则的低复杂度设计。在已知 Eves CSI 的情况下,我们研究了在所有窃听者对应的设计中使最小 SEE 最大化的设计。仿真结果表明,在各自的最佳 SEE 下,当 Eves 的 CSI 未知时,选择性 AN 辅助 SISO 传输的 SEE 是 AN 辅助 MISO 的两倍。相比之下,当已知 Eves 的 CSI 时,AN 辅助 MISO 的性能要高出 30%。
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来源期刊
IEEE Transactions on Green Communications and Networking
IEEE Transactions on Green Communications and Networking Computer Science-Computer Networks and Communications
CiteScore
9.30
自引率
6.20%
发文量
181
期刊最新文献
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