Skip to main content

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

.blurhash-client-img { display: none !important; }

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

Download Article

Download the full article as a PDF file.

Articles in this issue

DOI: https://doi.org/10.2478/ttj-2025-0011 | Journal eISSN: 1407-6179 | Journal ISSN: 1407-6160

Journal RSS Feed

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),

energy consumption

Related subjects:

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.

Volume 26 (2025): Issue 2 (April 2025)

Previous article