8 papers
Multi-Agent DRL for QoS and Energy Optimization in RIS-Enabled Open-RAN Industrial 6G TN/NTN Networks
Marwan Dhuheir, Thang X. Vu, Symeon Chatzinotas
Industrial 6G networks require ultra-reliable, low-latency, and energy-efficient connectivity in dynamic and blockage-prone environments, where conventional terrestrial deployments…
Digital Twin-Assisted Adaptive Multi-Agent DRL for Intelligent Spectrum and Resource Management in Open-RAN UAV-Enabled 6G Networks
Marwan Dhuheir, Thang X. Vu, Symeon Chatzinotas
The evolution toward 6G wireless networks envisions a seamlessly intelligent, Open-RAN-enabled architecture where unmanned aerial vehicles (UAVs) play a pivotal role in extending c…
Constrained MARL for Coexisting TN-NTN Resource Allocation: Scalability and Flexibility
Cuong Le, Thang X. Vu, Stefano Andrenacci +1
This paper considers the joint TN-NTN constrained resource allocation, where terrestrial base stations and non-terrestrial base stations coexist in the spectrum. We focus on large-…
Cooperative UAVs for Remote Data Collection under Limited Communications: An Asynchronous Multiagent Learning Framework
Cuong Le, Symeon Chatzinotas, Thang X. Vu
This paper addresses the joint optimization of trajectories and bandwidth allocation for multiple Unmanned Aerial Vehicles (UAVs) to enhance energy efficiency in the cooperative da…
SCA-LLM: Spectral-Attentive LLM-Based Wireless World Modeling for Agentic Communications
Ke He, Le He, Lisheng Fan +4
Future AI-native wireless networks are moving from reactive optimization to agentic decision-making that can sense, predict, and plan under fast-varying channels. This calls for wi…
Asynchronous Risk-Aware Multi-Agent Packet Routing for Ultra-Dense LEO Satellite Networks
Ke He, Thang X. Vu, Le He +3
The rise of ultra-dense LEO constellations creates a complex and asynchronous network environment, driven by their massive scale, dynamic topologies, and significant delays. This u…