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Impact of RIS Orientation on Throughput in UAV-Assisted Wireless Systems

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper investigates the impact of Reconfigurable Intelligent Surface (RIS) orientation on the throughput performance of Unmanned Aerial Vehicle (UAV)-assisted wireless communication systems. Specifically, we study how physical rotation of the RIS, through controlled azimuth and elevation adjustments, influences the effective channel and data rate. A UAV-mounted RIS enables directional alignment to serve ground users in scenarios where the direct Base Station (BS)-to-user path is blocked. Using the SimRIS channel simulator, we analyze the system under various rotation angles and present performance heatmaps that highlight optimal RIS orientations. The study shows that RIS alignment has a substantial effect on achievable rates, thereby motivating orientation-aware optimization in practical deployments.

Original languageEnglish
Title of host publicationProceedings - 12th International Conference on Wireless Networks and Mobile Communications, WINCOM 2025
EditorsBandar Alrami, Khaled Suwais, Ahmed Drissi El Maliani, Mohamed El Kamili, Khalil Ibrahimi, Abdellatif Kobbane
PublisherInstitute of Electrical and Electronics Engineers Inc.
Edition2025
ISBN (Electronic)9798331598785
DOIs
StatePublished - 2025
Event12th International Conference on Wireless Networks and Mobile Communications, WINCOM 2025 - Riyadh, Saudi Arabia
Duration: 25 Nov 202527 Nov 2025

Conference

Conference12th International Conference on Wireless Networks and Mobile Communications, WINCOM 2025
Country/TerritorySaudi Arabia
CityRiyadh
Period25/11/2527/11/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

Keywords

  • Line-of-Sight (LoS)
  • Multiple Input Multiple Output (MIMO)
  • Reconfigurable Intelligent Surface (RIS)
  • Signal to Noise Ratio (SNR)
  • Unmanned Aerial Vehicles (UAVs)

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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