113 citations · 159 across the 14 of their papers we have counts for
8 papers · 1 filter
Resilience Optimization in 6G and Beyond Integrated Satellite-Terrestrial Networks: A Deep Reinforcement Learning Approach
Dinh-Hieu Tran, Nguyen Van Huynh, Van Nhan Vo +3
Ensuring network resilience in 6G and beyond is essential to maintain service continuity during base station (BS) outages due to failures, disasters, attacks, or energy-saving oper…
Collaborative Intelligence for UAV-Satellite Network Slicing: Towards a Joint QoS-Energy-Fairness MADRL Optimization
Thanh-Dao Nguyen, Ngoc-Tan Nguyen, Thai-Duong Nguyen +3
Non terrestrial networks are critical for achieving global 6G coverage, yet efficient resource management in aerial and space environments remains challenging due to limited onboar…
Quantum Reinforcement Learning for 6G and Beyond Wireless Networks
Dinh-Hieu Tran, Thai Duong Nguyen, Thanh-Dao Nguyen +10
While 5G is being deployed worldwide, 6G is receiving increasing attention from researchers to meet the growing demand for higher data rates, lower latency, higher density, and sea…
UAV-Assisted Resilience in 6G and Beyond Network Energy Saving: A Multi-Agent DRL Approach
Dao Lan Vy Dinh, Anh Nguyen Thi Mai, Hung Tran +6
This paper investigates the unmanned aerial vehicle (UAV)-assisted resilience perspective in the 6G network energy saving (NES) scenario. More specifically, we consider multiple gr…
Network Digital Twin for 6G and Beyond: An End-to-End View Across Multi-Domain Network Ecosystems
Dinh-Hieu Tran, Nazar Waheed, Yuris Mulya Saputra +12
With the rapid development of technology, the number of smart mobile users is increasing, accompanied by growing demands from applications such as virtual/augmented reality (VR/XR)…
Dynamic Spectrum Access for Ambient Backscatter Communication-assisted D2D Systems with Quantum Reinforcement Learning
Nguyen Van Huynh, Bolun Zhang, Dinh-Hieu Tran +5
Spectrum access is an essential problem in device-to-device (D2D) communications. However, with the recent growth in the number of mobile devices, the wireless spectrum is becoming…
Deep Reinforcement Learning for Network Energy Saving in 6G and Beyond Networks
Dinh-Hieu Tran, Nguyen Van Huynh, Soumeya Kaada +3
Network energy saving has received great attention from operators and vendors to reduce energy consumption and CO2 emissions to the environment as well as significantly reduce cost…
Emerging Technologies for 6G Non-Terrestrial-Networks: From Academia to Industrial Applications
Cong T. Nguyen, Yuris Mulya Saputra, Nguyen Van Huynh +7
Terrestrial networks form the fundamental infrastructure of modern communication systems, serving more than 4 billion users globally. However, terrestrial networks are facing a wid…