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

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

Future 6th Generation (6G) networks will rely on Terahertz (THz) wireless communication as their main enabler for delivering both ultra-high data speed and minimal delay. THz wireless systems become crucial for upcoming communications by using Unmanned Aerial Vehicles (UAVs) together with Intelligen...

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Bibliographic Details
Main Authors: Elmadina Nahla Nur, Saeed Rashid A., Saeid Elsadig, Awouda Ala Eldin, Mujlid Hana M., Elshafie Hashim
Format: Article
Language:English
Published: Sciendo 2025-04-01
Series:Transport and Telecommunication
Subjects:
unmanned aerial vehicles-intelligent reflecting surface (uav- irs)
sixth-generation (6g)
terahertz (thz) wireless communication
multi-agent deep reinforcement learning (madrl)
trajectory
energy consumption
Online Access:https://doi.org/10.2478/ttj-2025-0011
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https://doi.org/10.2478/ttj-2025-0011

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