Secure High-Speed Train-to-Ground Communications Through ISAC

被引:0
|
作者
Li P. [1 ,2 ]
Niu Y. [2 ]
Wu H. [1 ,2 ]
Han Z. [3 ]
Wang N. [4 ]
Xiong L. [1 ,2 ]
Ai B. [1 ,2 ]
Yuen C. [5 ]
机构
[1] the Frontiers Science Center for Smart High-speed Railway System, the Key Laboratory of Railway Industry of Broadband Mobile Information Communications, State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, Beijing
[2] State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, Beijing
[3] Department of Electrical and Computer Engineering, University of Houston, Houston, TX
[4] School of Information Engineering, Zhengzhou University, Zhengzhou
[5] School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore
关键词
Array signal processing; Beamforming; Communication system security; High-Speed Railway; ISAC; Millimeter Wave (mmWave); Optimization; Receivers; Secure Communication; Security; Waveform Design; Wireless communication; Wireless sensor networks;
D O I
10.1109/JIOT.2024.3416494
中图分类号
学科分类号
摘要
As research on Integrated Sensing and Communication (ISAC) progresses, it has been discovered that ISAC can be effectively utilized to enhance the security of wireless communications. Its sensing function can assist in both eavesdropping detection and physical layer security techniques. In this paper, our focus lies on addressing the security challenges associated with high-speed train-to-ground communication using ISAC technology. We explore a novel secure communication scheme. Specifically, we exploit the sensing capabilities of ISAC to detect eavesdropping at the receiving end and subsequently establish a signal blind zone at the location where eavesdropping occurs through beamforming and waveform optimization techniques. This approach ensures the achievement of secure wireless communication. Mathematically modeling the problem as an optimization problem, we derive a lower bound for simplification purposes. Subsequently, we employ an alternating optimization algorithm to iteratively find suboptimal solutions for the optimization variables. Through extensive simulation experiments and comparative analysis, we demonstrate that our proposed algorithm not only guarantees communication security but also outperforms existing algorithms in terms of efficiency. IEEE
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页码:1 / 1
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