Performance Analysis of IRS-assisted Terahertz Communication System

被引:0
|
作者
Premanand, Rithwik [1 ]
Madhukumar, A. S. [1 ]
Sharma, Shubha [1 ]
Singh, Ranjan [1 ]
机构
[1] Nanyang Technol Univ, Singapore, Singapore
来源
2023 IEEE 34TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS, PIMRC | 2023年
基金
新加坡国家研究基金会;
关键词
alpha-mu fading; intelligent reflecting surface; multi-variate fox's H function; outage Probability; terahertz; PATH-LOSS; INTELLIGENT; MODEL;
D O I
10.1109/PIMRC56721.2023.10293764
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Intelligent reflecting surfaces (IRS), a new paradigm for controlling the wireless propagation environment, is an excellent cost-effective technology for terahertz (THz) systems. In this paper, the performance of an IRS-assisted THz system, with N reflective elements, is systematically analyzed over the deterministic IRS channel gain, the THz path loss model, and the sum of independent and non-identically distributed (i.ni.d.) cascaded alpha-mu fading channels. The probability density function (PDF) and the cumulative distribution function (CDF) of the proposed system are statistically characterized in terms of programmable multi-variate Fox's H function. Using derived statistical results, the closed-form solution for outage probability of THz-IRS system is reported along with its simple asymptotic expansions. The analytical results are validated using Monte-Carlo simulations. Results show that, sufficient signal-to-noise ratio (SNR) can be achieved with enough number of IRS antenna elements, making THz communication feasible.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] On outage performance of IRS-assisted wireless communication with user mobility following RWP model
    Zhao, Xiang
    Sun, Jinyong
    ELECTRONICS LETTERS, 2021, 57 (11) : 457 - 459
  • [32] Secrecy Capacity of IRS-Assisted Terahertz Wireless Communications With Pointing Errors
    Khel, Ahmad Massud Tota
    Hamdi, Khairi Ashour
    IEEE COMMUNICATIONS LETTERS, 2023, 27 (04) : 1090 - 1094
  • [33] Deep-Learning Channel Estimation for IRS-Assisted Integrated Sensing and Communication System
    Liu, Yu
    Al-Nahhal, Ibrahim
    Dobre, Octavia A.
    Wang, Fanggang
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2023, 72 (05) : 6181 - 6193
  • [34] Energy Efficiency Maximization in an IRS-Assisted Dual-Functional Radar and Communication System
    Yu, Zhenhao
    Zhou, Fuhui
    Zhong, Weizhi
    Wu, Yuhang
    Wu, Qihui
    2022 14TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING, WCSP, 2022, : 460 - 465
  • [35] Optimization of Quasi-Static Design for an IRS-Assisted Secure Wireless Communication System
    Shi, Changxin
    Cui, Ying
    Yang, Feng
    Ding, Lianghui
    Hu, Lingna
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2024, 23 (06) : 6546 - 6561
  • [36] On the performance of IRS-assisted OFDM system with non-ideal oscillator and amplifier
    Joshi, Khagendra
    Shaikh, Mohd Hamza Naim
    Naqvi, Sana Ali
    Ashok, Vivek
    INTERNET TECHNOLOGY LETTERS, 2022, 5 (04)
  • [37] Blockage Correlation in IRS-Assisted Millimeter Wave Communication Systems
    Yu, Fangzhou
    Zhang, Chao
    Quek, Tony Q. S.
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2024, 23 (06) : 5786 - 5800
  • [38] Joint Trajectory and Communication Design for IRS-Assisted UAV Networks
    Song, Xiaokai
    Zhao, Yanlong
    Wu, Zhilu
    Yang, Zhutian
    Tang, Jie
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2022, 11 (07) : 1538 - 1542
  • [39] On the secrecy performance of aerial IRS-assisted wireless communications
    Guo, Xiaolei
    Zhang, Shunliang
    MILCOM 2023 - 2023 IEEE MILITARY COMMUNICATIONS CONFERENCE, 2023,
  • [40] Detecting Abrupt Channel Changes for IRS-Assisted MIMO Communication
    Liu, Runnan
    Xu, Yin
    Wu, Yongpeng
    He, Dazhi
    Zhang, Wenjun
    Chen, Chang Wen
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2024, 13 (01) : 29 - 33