Evaluation of Reconfigurable Intelligent Surface-Assisted Underwater Wireless Optical Communication System

被引:36
|
作者
Naik, Ramavath Prasad [1 ]
Chung, Wan-Young [2 ]
机构
[1] Pukyong Natl Univ, Res Inst Artificial Intelligence Convergence, Busan 48513, South Korea
[2] Pukyong Natl Univ, Dept Elect Engn, Busan 48513, South Korea
基金
新加坡国家研究基金会;
关键词
Occlusion or blockage channel; Reconfigurable intelligent surface (RIS); underwater turbulence and pointing errors; underwater wireless optical communications; PERFORMANCE;
D O I
10.1109/JLT.2022.3162627
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
Reconfigurable intelligent surfaces (RISs) are an emerging technology aimed to enhance the energy and spectrum efficiency of wireless communication links by reconfiguring the propagation environment of radio-frequency (RF)/optical waves. Planar phased meta-material surfaces or reflect-arrays for RF RIS and multiple smart mirrors have been used for activating optical RIS. In this article, we analyze the underwater optical wireless communication (UWOC) system performance in terms of bit error rate (BER), outage probability (OP) and channel capacity (CC) under the influence of underwater turbulence, beam attenuation, pointing errors and occlusion or blockage due to obstacles. A RIS-assisted UWOC proposed to mitigate the effects obstacles, pointing errors and turbulence and improve the system performances. The probability density function and cumulative distribution functions of N RIS elements based UWOC system are evaluated over the underwater turbulence, pointing errors and blockage due to obstacles. The novel closed-form expressions for BER under binary phase shift keying and binary frequency shift keying modulation schemes using with and without coherent detection, OP, and CC for intensity modulation-direct detection and heterodyne detection cases are obtained and plotted according to the number of RIS elements with respect to the average signal-to-noise ratio. The numerical BER results are validated with the Monte-Carlo simulations.
引用
收藏
页码:4257 / 4267
页数:11
相关论文
共 50 条
  • [31] Channel Estimation for Reconfigurable Intelligent Surface-Assisted Wireless Communications Considering Doppler Effect
    Sun, Shu
    Yan, Hangsong
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2021, 10 (04) : 790 - 794
  • [32] Reconfigurable Intelligent Surface-Assisted Passive Beamforming Attack
    Niu, Hong
    Xiao, Yue
    Lei, Xia
    Dan, Lilin
    Xiang, Wei
    Yuen, Chau
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2024, 19 : 8236 - 8247
  • [33] Aerial Reconfigurable Intelligent Surface-Assisted Terrestrial Communications
    Gu X.
    Duan W.
    Zhang G.
    Wen M.
    Choi J.
    Ho P.-H.
    IEEE Internet of Things Magazine, 2024, 7 (02): : 54 - 60
  • [34] Reconfigurable Intelligent Surface-Assisted Space Shift Keying
    Canbilen, Ayse E.
    Basar, Ertugrul
    Ikki, Salama S.
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2020, 9 (09) : 1495 - 1499
  • [35] Passive Beamforming and Trajectory Optimization for Reconfigurable Intelligent Surface-Assisted UAV Secure Communication
    Wang, Dawei
    Zhao, Yang
    He, Yixin
    Tang, Xiao
    Li, Lixin
    Zhang, Ruonan
    Zhai, Daosen
    REMOTE SENSING, 2021, 13 (21)
  • [36] Reconfigurable intelligent surface-assisted non-line-of-sight secure communication scheme
    Gao J.
    Gao G.
    Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University, 2023, 50 (02): : 64 - 70
  • [37] Machine Learning Strategies for Reconfigurable Intelligent Surface-Assisted Communication Systems-A Review
    Ibarra-Hernandez, Roilhi F.
    Castillo-Soria, Francisco R.
    Gutierrez, Carlos A.
    Garcia-Barrientos, Abel
    Vasquez-Toledo, Luis Alberto
    Del-Puerto-Flores, J. Alberto
    FUTURE INTERNET, 2024, 16 (05)
  • [38] Intelligent Reflecting Surface-Assisted Wireless Communication Using RNNs: Comprehensive Insights
    Tabassum, Rana
    Sejan, Mohammad Abrar Shakil
    Rahman, Md Habibur
    Aziz, Md Abdul
    Song, Hyoung-Kyu
    MATHEMATICS, 2024, 12 (19)
  • [39] Minimization of Secrecy Outage Probability in Reconfigurable Intelligent Surface-Assisted MIMOME System
    Liu, Yiliang
    Su, Zhou
    Zhang, Chi
    Chen, Hsiao-Hwa
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2023, 22 (02) : 1374 - 1387
  • [40] Reinforcement Learning-based MAC for Reconfigurable Intelligent Surface-Assisted Wireless Sensor Networks
    Ahmed, Faisal
    Shitiri, Ethungshan
    Cho, Ho-Shin
    2022 THIRTEENTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN), 2022, : 253 - 255