167 citations · 177 across the 11 of their papers we have counts for
11 papers
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…
Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey
Thai-Hoc Vu, Senthil Kumar Jagatheesaperumal, Minh-Duong Nguyen +3
The success of Artificial Intelligence (AI) in multiple disciplines and vertical domains in recent years has promoted the evolution of mobile networking and the future Internet tow…
DDPG-E2E: A Novel Policy Gradient Approach for End-to-End Communication Systems
Bolun Zhang, Nguyen Van Huynh, Dinh Thai Hoang +2
The End-to-end (E2E) learning-based approach has great potential to reshape the existing communication systems by replacing the transceivers with deep neural networks. To this end,…
Enabling Technologies for Web 3.0: A Comprehensive Survey
Md Arif Hassan, Mohammad Behdad Jamshidi, Bui Duc Manh +9
Web 3.0 represents the next stage of Internet evolution, aiming to empower users with increased autonomy, efficiency, quality, security, and privacy. This evolution can potentially…
Defeating Eavesdroppers with Ambient Backscatter Communications
Nguyen Van Huynh, Nguyen Quang Hieu, Nam H. Chu +3
Unlike conventional anti-eavesdropping methods that always require additional energy or computing resources (e.g., in friendly jamming and cryptography-based solutions), this work…
Defeating Super-Reactive Jammers With Deception Strategy: Modeling, Signal Detection, and Performance Analysis
Nguyen Van Huynh, Diep N. Nguyen, Dinh Thai Hoang +3
This paper develops a novel framework to defeat a super-reactive jammer, one of the most difficult jamming attacks to deal with in practice. Specifically, the jammer has an unlimit…
Joint Coding and Scheduling Optimization for Distributed Learning over Wireless Edge Networks
Nguyen Van Huynh, Dinh Thai Hoang, Diep N. Nguyen +1
Unlike theoretical distributed learning (DL), DL over wireless edge networks faces the inherent dynamics/uncertainty of wireless connections and edge nodes, making DL less efficien…
Fast or Slow: An Autonomous Speed Control Approach for UAV-assisted IoT Data Collection Networks
Nam H. Chu, Dinh Thai Hoang, Diep N. Nguyen +2
Unmanned Aerial Vehicles (UAVs) have been emerging as an effective solution for IoT data collection networks thanks to their outstanding flexibility, mobility, and low operation co…
Enabling and Emerging Technologies for Social Distancing: A Comprehensive Survey and Open Problems
Cong T. Nguyen, Yuris Mulya Saputra, Nguyen Van Huynh +9
Social distancing plays a pivotal role in preventing the spread of viral diseases illnesses such as COVID-19. By minimizing the close physical contact among people, we can reduce t…
Optimal and Fast Real-time Resources Slicing with Deep Dueling Neural Networks
Nguyen Van Huynh, Dinh Thai Hoang, Diep N. Nguyen +1
Effective network slicing requires an infrastructure/network provider to deal with the uncertain demand and real-time dynamics of network resource requests. Another challenge is th…