Secrecy Capacity of IRS-Assisted Terahertz Wireless Communications With Pointing Errors

被引:8
作者
Khel, Ahmad Massud Tota [1 ]
Hamdi, Khairi Ashour [1 ]
机构
[1] Univ Manchester, Dept Elect & Elect Engn, Manchester M13 9PL, England
关键词
Quantization (signal); Absorption; Signal to noise ratio; Wireless communication; Eavesdropping; Physical layer security; Phase shifters; Colluding eavesdroppers; intelligent reflecting surface; non-colluding eavesdroppers; pointing errors; terahertz; INTELLIGENT; PERFORMANCE;
D O I
10.1109/LCOMM.2023.3246169
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
This letter considers an intelligent reflecting surface (IRS)-assisted terahertz (THz) communication system in the presence of an arbitrary number of colluding/non-colluding eavesdroppers (Eves). Although the instantaneous channel state information (CSI) of the legitimate user (Bob) is assumed to be available, the IRS with discrete phase shifters cannot achieve optimal phase shifts, and thus Bob suffers from phase shift quantization errors. By taking into account the availability of the statistical CSI of Eves, pointing errors caused by highly-directional THz antennas, and the phase shift quantization errors, new expressions for the secrecy capacity in both cases of Eves are derived. The accuracy of the expressions is then verified by Monte-Carlo simulations. These expressions are used to investigate the impacts of pointing errors and quantization errors on the physical layer security of IRS-assisted THz systems in the presence of colluding and non-colluding Eves.
引用
收藏
页码:1090 / 1094
页数:5
相关论文
共 50 条
  • [41] DRL-Based Sequential Scheduling for IRS-Assisted MIMO Communications
    Pereira-Ruisanchez, Dariel
    Fresnedo, Oscar
    Perez-Adan, Darian
    Castedo, Luis
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 73 (06) : 8445 - 8459
  • [42] Training Optimization for Subarray-Based IRS-Assisted MIMO Communications
    Dai, Hui
    Zhang, Zhongshan
    Gong, Shiqi
    Xing, Chengwen
    An, Jianping
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (04) : 2890 - 2905
  • [43] IRS-Assisted Ambient Backscatter Communications Utilizing Deep Reinforcement Learning
    Jia, Xiaolun
    Zhou, Xiangyun
    [J]. IEEE WIRELESS COMMUNICATIONS LETTERS, 2021, 10 (11) : 2374 - 2378
  • [44] Spectral Efficiency Analysis for IRS-Assisted MISO Wireless Communication: A Metaverse Scenario Proposal
    Rahman, Md Habibur
    Sejan, Mohammad Abrar Shakil
    Aziz, Md Abdul
    Kim, Dong-Sun
    You, Young-Hwan
    Song, Hyoung-Kyu
    [J]. MATHEMATICS, 2023, 11 (14)
  • [45] Energy Minimization for Wireless Powered Data Offloading in IRS-assisted MEC for Vehicular Networks
    Tan, Yuanzheng
    Long, Yusi
    Zhao, Songhan
    Gong, Shimin
    Hoang, Dinh Thai
    Niyato, Dusit
    [J]. 2022 INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING, IWCMC, 2022, : 731 - 736
  • [46] Dynamic Network Service Selection in IRS-Assisted Wireless Networks: A Game Theory Approach
    Nguyen Luong
    Thi Thanh Van Nguyen
    Feng, Shaohan
    Nguyen, Huy T.
    Niyato, Tao Dusit
    Kim, Dong In
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (05) : 5160 - 5165
  • [47] Power Measurement Enabled Channel Autocorrelation Matrix Estimation for IRS-Assisted Wireless Communication
    Yan, Ge
    Zhu, Lipeng
    Zhang, Rui
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2025, 24 (03) : 1832 - 1848
  • [48] Optimization of Quasi-Static Design for an IRS-Assisted Secure Wireless Communication System
    Shi, Changxin
    Cui, Ying
    Yang, Feng
    Ding, Lianghui
    Hu, Lingna
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2024, 23 (06) : 6546 - 6561
  • [49] Capacity and Optimal Resource Allocation for IRS-Assisted Multi-User Communication Systems
    Mu, Xidong
    Liu, Yuanwei
    Guo, Li
    Lin, Jiaru
    Al-Dhahir, Naofal
    [J]. IEEE TRANSACTIONS ON COMMUNICATIONS, 2021, 69 (06) : 3771 - 3786
  • [50] Hybrid IRS-Assisted Secure Satellite Downlink Communications: A Fast Deep Reinforcement Learning Approach
    Ngo, Quynh Tu
    Phan, Khoa Tran
    Mahmood, Abdun
    Xiang, Wei
    [J]. IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2024, 8 (04): : 2858 - 2869