Blind reconfigurable intelligent surface-aided fixed non-orthogonal multiple access for intelligent vehicular networks

EURASIP Journal on Wireless Communications and Networking

Research

Md. Abdul Latif Sarker¹  Poongundran Selvaprabhu²  Vinoth Babu Kumaravelu²  Arthi Murugadass³  C. Suganthi Evangeline⁴  Thiruvengadam Sundarrajan Jayaraman⁵  Velmurugan Periyakarupan Gurusamy Sivabalan⁵  Dong Seog Han⁶ 

[1] Centre for ICT & Automotive Convergence, Kyungpook National University, 41566, Daegu, Republic of Korea;Department of Communication Engineering, School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India;Department of Computer Science and Engineering (AI&ML), Sreenivasa Institute of Technology and Management Studies, Chittoor, Andhra Pradesh, India;Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India;Department of Electronics and Communication Engineering, Thiagarajar College of Engineering, Madurai, Tamil Nadu, India;School of Electronic and Electrical Engineering, Kyungpook National University, 41566, Daegu, Republic of Korea;

关键词: Fixed non-orthogonal multiple access (FNOMA);    Next-generation networks;    Outage probability;    Reconfigurable intelligent surfaces (RIS);    Throughput;    Vehicle-to-infrastructure (V2I);   

DOI  :  10.1186/s13638-023-02291-y

 received in 2023-04-25, accepted in 2023-08-07,  发布年份 2023

来源: Springer

【 摘 要 】

In intelligent vehicular networks, vehicles should be able to communicate with their surroundings while traveling. This results in more efficient, safer, and comfortable driving experiences, as well as new commercial prospects in a variety of industries. Connected vehicles and autonomous vehicles expect 100% reliable connectivity without any compromise in quality. However, due to challenges such as difficult channel terrains in urban scenarios and dead zones, the reliability of current vehicle-to-infrastructure (V2I) and vehicle-to-vehicle communication systems cannot be guaranteed. The performance of vehicular networks can be considerably enhanced with reconfigurable intelligent surfaces (RIS). Non-orthogonal multiple access (NOMA) allows for massive connectivity with the surroundings. In vehicular networks, the RIS-assisted NOMA can ensure regulated channel gains, better coverage, throughput, and energy efficiency. In this work, a blind RIS-assisted fixed NOMA (FNOMA) system is proposed for a downlink V2I scenario. The closed-form analytical outage probability and throughput expressions are derived by considering RIS as an intelligent reflector and as a roadside unit. It is observed that the analytical and Monte Carlo simulation results are closely related. In simulations, it has been discovered that RIS-assisted FNOMA outperforms the traditional NOMA variants in terms of outage and throughput. Even without precise channel knowledge, blind RIS transmission outperforms traditional NOMA variants due to huge array gain. The increase in the number of reflective elements also results in a significant improvement in signal-to-noise ratio gains.

【 授权许可】

CC BY   
© Springer Nature Switzerland AG 2023

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