Transmit Power Analysis in RIS Based Vehicular Communications
5G and 6G technologies are set to play a transformative role in Intelligent Transportation Systems (ITS) and Vehicular communications. ITS integrates advanced communication and data technologies to optimize traffic flow, enhance safety, and enable autonomous driving. With low latency communications in 5G, high-speed connectivity, and increased reliability, it supports real-time data exchange between vehicles, infrastructure, and pedestrians, improving traffic management and safety features. As we look toward 6G, the next generation of networks promises even greater advancements, offering ultrareliable, high-bandwidth connections that will enable even more sophisticated applications, such as full vehicle autonomy and seamless integration with smart city infrastructure. Vehicle-to-everything (V2X) connectivity is the enabler of futuristic ITS, since it enables vehicles to intelligently interact with their surroundings. Reconfigurable Intelligent Surfaces (RISs) has unlocked the full potential of V2X communication. In this paper, we propose an analytical study of dual RISbased vehicle-to-infrastructure (V2I) communication scheme. Some relevant conclusions are provided related to the tradeoff between transmit power reduction and communication's outage probability increasing. The impact of the number of RIS elements are investigated. Deduction to single RIS case was provided. Finally, the analytical findings are corroborated by simulations, demonstrating the importance of our findings.
Authors
- Ouadoudi Zytoune (ORCID: https://orcid.org/0000-0003-3089-9793)
- Hacène Fouchal (ORCID: https://orcid.org/0000-0002-9584-3566)
- Adil Boumaalif (ORCID: https://orcid.org/0000-0002-0581-3460)
- Alaeddine Sahtouti
Institutions
- Université Ibn-Tofail (MA)
- Université de Reims Champagne-Ardenne (FR)
Publication Details
- Published
- 2025-06-08
- DOI
- https://doi.org/10.1109/icc52391.2025.11161624
- Primary Topic
- Wireless Body Area Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00