Performance Analysis of the Reconfigurable Intelligent Surfaces Communication Systems

被引：0
|
作者：
Abu Ella O. [1 ]
机构：
[1] Department of Electrical and Electronic Engineering, Misurata University, 2659 Zawiat Almahjoub, Misurata
来源：
Journal of Communications and Information Networks | 2024年 / 9卷 / 02期
关键词：
bit error rate; effective capacity; ergodic capacity; outage probability; Rayleigh fading channel; RIS-assisted communication system;
D O I：
10.23919/JCIN.2024.10272380
中图分类号：
学科分类号：
摘要：
Reconfigurable intelligent surfaces (RIS) play a vital role in meeting the growing demand for higher data rates and reliability in wireless systems. This study focuses on analyzing the performance of RIS systems to gain a deeper understanding of their potential. The paper presents a mathematical analysis of the RIS system, deriving closed-form formulae that express its characteristics including signal-to-noise ratio (SNR) distribution, ergodic and effective capacity, outage, and error probability. The obtained formulae are newly derived and unconditionally valid solutions. Numerical results demonstrate a close agreement between the derived formulae and Monte-Carlo simulation outcomes. © 2024, Posts and Telecom Press Co Ltd. All rights reserved.
引用
收藏
页码：184 / 191
页数：7
相关论文
共 50 条
  • [41] Performance Analysis of Multi-Branch Reconfigurable Intelligent Surfaces-Assisted Optical Wireless Communication System in Environment With Obstacles
    Wang, Haibo
    Zhang, Zaichen
    Zhu, Bingcheng
    Dang, Jian
    Wu, Liang
    Wang, Lei
    Zhang, Kehan
    Zhang, Yidi
    Li, Geoffrey Ye
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (10) : 9986 - 10001
  • [42] Performance Analysis of Reconfigurable Intelligent Surface Assisted STBC and DSTBC Systems
    Sun, Yu
    Yue, Dian-Wu
    IEEE SYSTEMS JOURNAL, 2023, 17 (04): : 5899 - 5910
  • [43] Analysis and Mitigating Methods for Jamming in the Optical Reconfigurable Intelligent Surfaces-Assisted Dual-Hop FSO Communication Systems
    Wang, Jingyu
    Gao, Dingshan
    Li, Juan
    Huang, Linhe
    Ding, Haiyang
    Zhou, Shaohua
    ELECTRONICS, 2024, 13 (09)
  • [44] Enhancing Performance of Integrated Sensing and Communication via Joint Optimization of Hybrid and Passive Reconfigurable Intelligent Surfaces
    Zhang, Jingwen
    Wang, Siqiang
    Zheng, Zhong
    Fei, Zesong
    Yu, Hanxiao
    Zhang, Qin
    Han, Zhu
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (19): : 32041 - 32054
  • [45] Graph Attention Network-Based Precoding for Reconfigurable Intelligent Surfaces Aided Wireless Communication Systems
    Yang, Junjie
    Xu, Jie
    Zhang, Yinghui
    Zheng, Hao
    Zhang, Tiankui
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 73 (06) : 9098 - 9102
  • [46] Enhancing vehicular NOMA communication security through reconfigurable intelligent surfaces
    Serikov, Altynbek
    Shaikh, Mohd Hamza Naim
    Nauryzbayev, Galymzhan
    VEHICULAR COMMUNICATIONS, 2024, 50
  • [47] Reconfigurable Intelligent Surfaces aided Wireless Communication: Key Technologies and Challenges
    Jiao, Huiying
    Liu, Hui
    Wang, Zhiqin
    2022 INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING, IWCMC, 2022, : 1364 - 1368
  • [48] Energy-Efficient Wireless Communication With Irregular Reconfigurable Intelligent Surfaces
    Chen, Huashu
    He, Chunlong
    Qian, Gongbin
    Li, Xingquan
    IEEE COMMUNICATIONS LETTERS, 2024, 28 (12) : 2754 - 2758
  • [49] Multi-Functional Reconfigurable Intelligent Surfaces for Enhanced Sensing and Communication
    Singh, Khushboo
    Saikia, Mondeep
    Thiyagarajan, Karthick
    Thalakotuna, Dushmantha
    Esselle, Karu
    Kodagoda, Sarath
    SENSORS, 2023, 23 (20)
  • [50] Deep-Learning Based Reconfigurable Intelligent Surfaces for Intervehicular Communication
    Sagir, Bulent
    Aydin, Erdogan
    Ilhan, Haci
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 73 (11) : 17754 - 17759
12345