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Chapter

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Title

Enhancing V2X Communications with UAV-mounted Reconfigurable Intelligent Surfaces

Authors

[ 1 ] Instytut Radiokomunikacji, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2024

Chapter type

chapter in monograph / paper

Publication language

english

Keywords
EN
  • Artificial Intelligence
  • UAV
  • RIS
  • Communication Reliability
Abstract

EN This paper addresses the crucial need for reliable wireless communication in vehicular networks, particularly vital for the safety and efficacy of (semi-)autonomous driving amid increasing traffic. We explore the use of Reconfigurable Intelligent Surfaces (RISes) mounted on Drone Relay Stations (DRS) to enhance communication reliability. Our study formulates an optimization problem to pinpoint the optimal location and orientation of the DRS, thereby creating an additional propagation path for vehicle-to-everything (V2X) communications. We introduce a heuristic approach that combines trajectory optimization for DRS positioning and a Q-learning scheme for RIS orientation. Our results confirm the convergence of the Q-learning algorithm and demonstrate significant communication improvements achieved by integrating a DRS into V2X networks.

Pages (from - to)

708 - 713

DOI

10.1109/PerComWorkshops59983.2024.10502957

URL

https://ieeexplore.ieee.org/document/10502957

Book

PerCom 2024 Workshops and Affiliated Events

Presented on

The 22nd IEEE International Conference on Pervasive Computing and Communications, PerCom 2024, 11-15.03.2024, Biarritz, France

Ministry points / chapter

20

Ministry points / conference (CORE)

200

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