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

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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