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Adaptive Trajectory Optimization for UAV-IRS Systems in 6G Thz Networks Using Multi Agent-DRL Cover

Adaptive Trajectory Optimization for UAV-IRS Systems in 6G Thz Networks Using Multi Agent-DRL

Transport and Telecommunication Journal
Volume 26 (2025): Issue 2 (April 2025)
By: Nahla Nur Elmadina,  Rashid A. Saeed,  Elsadig Saeid,  Ala Eldin Awouda,  Hana M. Mujlid and  Hashim Elshafie  
Open Access
|Apr 2025
DOI: https://doi.org/10.2478/ttj-2025-0011 | Journal eISSN: 1407-6179 | Journal ISSN: 1407-6160
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Language: English
Page range: 133 - 148
Published on: Apr 17, 2025
Published by: Transport and Telecommunication Institute
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Unmanned aerial vehicles-intelligent reflecting surface (UAV- IRS),
sixth-generation (6G),
Terahertz (THz) wireless communication,
multi-agent deep reinforcement learning (MADRL),
trajectory,
energy consumption
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2025 Nahla Nur Elmadina, Rashid A. Saeed, Elsadig Saeid, Ala Eldin Awouda, Hana M. Mujlid, Hashim Elshafie, published by Transport and Telecommunication Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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