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Performance Investigation of RIS-Assisted Smart City Communication System Under Log-Distance Path Loss and Rician Fading Effects

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

    Abstract

    The rapid growth of interconnected devices, services, and infrastructure drives the need for real-time, reliable communication in smart cities. Advances in technology enable cost-effective solutions using reconfigurable intelligent surfaces (RIS). This paper presents RIS-assisted smart city environments, addressing key issues such as coverage and energy efficiency while evaluating RIS performance in urban and rural settings. Using various deployment scenarios, Rician fading channels illustrate RIS's flexibility. We simulate a Rician fading channel to assess RIS integration's impact on 5G RAN performance. The analysis considers Signal-to-Noise Ratio (SNR), coverage in obstructed areas, and other parameters. Rician fading models complement simulations by depicting urban communication with multipath and line-of-sight (LOS) components, alongside basic rural channel models. Results show RIS systems consume less energy than conventional systems. Findings confirm RIS's effectiveness in reducing path loss, enhancing wireless performance, and supporting cost-effective communication networks in both rural and urban areas.

    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

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy
    2. SDG 11 - Sustainable Cities and Communities
      SDG 11 Sustainable Cities and Communities

    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

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