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

被引:0
作者
Li, Panpan [1 ,2 ]
Niu, Yong [1 ,2 ]
Wu, Hao [1 ,2 ]
Han, Zhu [3 ,4 ]
Wang, Ning [5 ]
Xiong, Lei [1 ,2 ]
Ai, Bo [1 ,2 ]
Yuen, Chau [6 ]
机构
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
[2] Beijing Engn Res Ctr High Speed Railway Broadband, Beijing 100044, Peoples R China
[3] Univ Houston, Dept Elect & Comp Engn, Houston, TX 77004 USA
[4] Dept Comp Sci & Engn, Kyung Hee Univ, Seoul 446701, South Korea
[5] Zhengzhou Univ, Sch Informat Engn, Zhengzhou 450001, Peoples R China
[6] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
来源
IEEE INTERNET OF THINGS JOURNAL | 2024年 / 11卷 / 19期
基金
日本科学技术振兴机构; 北京市自然科学基金; 中国国家自然科学基金;
关键词
Security; Wireless communication; Receivers; Communication system security; Array signal processing; Wireless sensor networks; Optimization; Beamforming; high-speed railway (HSR); integrated sensing and communication (ISAC); millimeter wave (mmWave); secure communication; waveform design; PHYSICAL-LAYER SECURITY; SYSTEMS; OPTIMIZATION; DESIGN; RADAR;
D O I
10.1109/JIOT.2024.3416494
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
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 article, 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.
引用
收藏
页码:31235 / 31248
页数:14
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