37 citations · 42 across the 6 of their papers we have counts for
6 papers
Deep Learning-Driven Friendly Jamming for Secure Multicarrier ISAC Under Channel Uncertainty
Bui Minh Tuan, Van-Dinh Nguyen, Diep N. Nguyen +5
Integrated sensing and communication (ISAC) systems promise efficient spectrum utilization by jointly supporting radar sensing and wireless communication. This paper presents a dee…
Joint Speed Control and Energy Replenishment Optimization for UAV-assisted IoT Data Collection with Deep Reinforcement Transfer Learning
Nam H. Chu, Dinh Thai Hoang, Diep N. Nguyen +2
Unmanned aerial vehicle (UAV)-assisted data collection has been emerging as a prominent application due to its flexibility, mobility, and low operational cost. However, under the d…
Transfer Learning for Future Wireless Networks: A Comprehensive Survey
Cong T. Nguyen, Nguyen Van Huynh, Nam H. Chu +7
With outstanding features, Machine Learning (ML) has been the backbone of numerous applications in wireless networks. However, the conventional ML approaches have been facing many…
Optimal and Low-Complexity Dynamic Spectrum Access for RF-Powered Ambient Backscatter System with Online Reinforcement Learning
Nguyen Van Huynh, Dinh Thai Hoang, Diep N. Nguyen +3
Ambient backscatter has been introduced with a wide range of applications for low power wireless communications. In this article, we propose an optimal and low-complexity dynamic s…
Optimal Time Scheduling for Wireless-Powered Backscatter Communication Networks
Nguyen Van Huynh, Dinh Thai Hoang, Dusit Niyato +2
This letter introduces a novel wireless-powered backscatter communication system which allows sensors to utilize RF signals transmitted from a dedicated RF energy source to transmi…
Ambient Backscatter Communications: A Contemporary Survey
Nguyen Van Huynh, Dinh Thai Hoang, Xiao Lu +3
Recently, ambient backscatter communications has been introduced as a cutting-edge technology which enables smart devices to communicate by utilizing ambient radio frequency (RF) s…