Skip to main navigation Skip to search Skip to main content

Performance Analysis of RIS-Assisted V2X Communication over FR1 and FR2 Frequency Bands with Keyhole Effect

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This paper examines the effects of adverse weather conditions, like rain and keyhole effect, on the performance of Vehicle-to-Everything (V2X) communication systems operating at 6 GHz (FR1) as well as 28 GHz (FR2, n257 band)-key frequencies in future wireless networks for selfdriving vehicles and intelligent transport systems. Millimeter wave bands such as 28 GHz have high susceptibility to signal degradation because of environmental factors. The present study evaluates vital metrics including signal attenuation, path loss effect, and communication reliability over the channel through simulations performed under realistic Nakagami-m fading scenarios. To mitigate this problem, the paper discusses the feasibility of incorporating Reconfigurable Intelligent Surfaces (RIS) as an innovative solution to combat weatherinduced signal degradation and improve network resilience. The results demonstrate severe performance degradations at 28 GHz in inclement weather conditions, which shows that the RIS can significantly improve signal quality by reducing attenuation and increasing the reliability of signal information that could be useful for developing robust V2X communication systems resilient to weather effects.

    Original languageEnglish
    Title of host publicationInternational Conference on Smart Systems for Applications in Electrical Sciences, ICSSES 2025
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9798331507671
    DOIs
    Publication statusPublished - 2025
    Event3rd International Conference on Smart Systems for applications in Electrical Sciences, ICSSES 2025 - Tumakuru, India
    Duration: 21-03-202522-03-2025

    Publication series

    NameInternational Conference on Smart Systems for Applications in Electrical Sciences, ICSSES 2025

    Conference

    Conference3rd International Conference on Smart Systems for applications in Electrical Sciences, ICSSES 2025
    Country/TerritoryIndia
    CityTumakuru
    Period21-03-2522-03-25

    All Science Journal Classification (ASJC) codes

    • Artificial Intelligence
    • Computer Science Applications
    • Signal Processing
    • Energy Engineering and Power Technology
    • Electrical and Electronic Engineering
    • Modelling and Simulation
    • Health Informatics

    Fingerprint

    Dive into the research topics of 'Performance Analysis of RIS-Assisted V2X Communication over FR1 and FR2 Frequency Bands with Keyhole Effect'. Together they form a unique fingerprint.

    Cite this