Reinforcement Learning for Resilient Aerial-IRS Assisted Wireless Communications Networks in the Presence of Multiple Jammers

Reinforcement Learning for Resilient Aerial-IRS Assisted Wireless Communications Networks in the Presence of Multiple Jammers

<p dir="ltr">The evolving landscape of beyond 5G and 6G wireless communication systems in smart urban environments faces numerous interference-related challenges posed by legitimate and illicit devices. In this context, Intelligent Reflecting Surfaces (IRS) have emerged as a promisin...

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Bibliographic Details
Main Author: Zain Ul Abideen Tariq (17984107) (author)
Other Authors: Emna Baccour (16896366) (author), Aiman Erbad (14150589) (author), Mounir Hamdi (14150652) (author)
Published: 2024
Subjects:
Information and computing sciences
Distributed computing and systems software
Jamming
Wireless communication
Autonomous aerial vehicles
Optimization
Mobile handsets
Trajectory
Interference
Reinforcement learning
anti-jamming
intelligent reflecting surfaces
re-configurable intelligent surfaces
deep deterministic policy gradient
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