113 citations · 159 across the 14 of their papers we have counts for
15 papers
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…
Toward a Unified Semantic Loss Model for Deep JSCC-based Transmission of EO Imagery
Ti Ti Nguyen, Thanh-Dung Le, Vu Nguyen Ha +6
Modern Earth Observation (EO) systems increasingly rely on high-resolution imagery to support critical applications such as environmental monitoring, disaster response, and land-us…
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…
Security and Reliability Analysis of Satellite-Terrestrial Multi-Relay Networks with Imperfect CSI
Tan N. Nguyen, Dinh-Hieu Tran, Trinh Van Chien +3
This work investigates the security and reliability analysis for a novel satellite-terrestrial (SatTer) network. Specifically, a satellite attempts to transmit confidential informa…
Security-Reliability Trade-Off Analysis for SWIPT- and AF-Based IoT Networks with Friendly Jammers
Tan N. Nguyen, Dinh-Hieu Tran, Trinh Van Chien +6
Radio-frequency (RF) energy harvesting (EH) in wireless relaying networks has attracted considerable recent interest, especially for supplying energy to relay nodes in Internet-of-…
Satellite- and Cache-assisted UAV: A Joint Cache Placement, Resource Allocation, and Trajectory Optimization for 6G Aerial Networks
Dinh-Hieu Tran, Symeon Chatzinotas, Björn Ottersten
This paper considers LEO satellite- and cache-assisted UAV communications for content delivery in terrestrial networks, which shows great potential for next-generation systems to p…
Throughput Maximization for Wireless Communication systems with Backscatter- and Cache-assisted UAV Technology
Hieu Tran-Dinh, Sumit Gautam, Symeon Chatzinotas +1
Unmanned aerial vehicle (UAV) has been widely adopted in wireless systems due to its flexibility, mobility, and agility. Nevertheless, a limited onboard battery greatly hinders UAV…
UAV Relay-Assisted Emergency Communications in IoT Networks: Resource Allocation and Trajectory Optimization
Dinh-Hieu Tran, Van-Dinh Nguyen, Sumit Gautam +3
Unmanned aerial vehicle (UAV) communication has emerged as a prominent technology for emergency communications (e.g., natural disaster) in the Internet of Things (IoT) networks to…
Trajectory Design for Energy Minimization in UAV-enabled Wireless Communications with Latency Constraints
Dinh-Hieu Tran, Thang X. Vu, Symeon Chatzinotas +2
This paper studies energy-efficient unmanned aerial vehicle (UAV)-enabled wireless communications, where the UAV acts as a flying base station (BS) to serve the ground users (GUs)…