Empowering the Vehicular Network with RIS Technology: A State-of-the-Art Review

被引：2

作者：

Naaz, Farheen ^{[1
]}

Nauman, Ali ^{[1
]}

Khurshaid, Tahir ^{[2
]}

Kim, Sung-Won ^{[1
]}

机构：

[1] Yeungnam Univ, Informat & Commun Engn Dept, Gyongsan 38541, South Korea

[2] Yeungnam Univ, Dept Elect Engn, Gyongsan 38541, South Korea

来源：

SENSORS | 2024年 / 24卷 / 02期

关键词：

reconfigurable intelligent surface; vehicle-to-everything; NOMA; MEC; platooning; autonomous vehicles; intelligent transportation system; physical layer security (PLS); RECONFIGURABLE INTELLIGENT SURFACES; WIRELESS COMMUNICATIONS; V2X COMMUNICATIONS; CHALLENGES; EVOLUTION; SECURITY; DESIGN; ACCESS;

D O I：

10.3390/s24020337

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Reconfigurable intelligent surfaces (RIS) are expected to bring about a revolutionary transformation in vehicular networks, thus paving the way for a future characterized by connected and automated vehicles (CAV). An RIS is a planar structure comprising many passive elements that can dynamically manipulate electromagnetic waves to enhance wireless communication by reflecting, refracting, and focusing signals in a programmable manner. RIS exhibits substantial potential for improving vehicle-to-everything (V2X) communication through various means, including coverage enhancement, interference mitigation, improving signal strength, and providing additional layers of privacy and security. This article presents a comprehensive survey that explores the emerging opportunities arising from the integration of RIS into vehicular networks. To examine the convergence of RIS and V2X communications, the survey adopted a holistic approach, thus highlighting the potential benefits and challenges of this combination. In this study, we examined several applications of RIS-aided V2X communication. Subsequently, we delve into the fundamental emerging technologies that are expected to empower vehicular networks, encompassing mobile edge computing (MEC), non-orthogonal multiple access (NOMA), millimeter-wave communication (mmWave), Artificial Intelligence (AI), and visible light communication (VLC). Finally, to stimulate further research in this domain, we emphasize noteworthy research challenges and potential avenues for future exploration.

引用

页数：35

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