37 citations · 55 across the 11 of their papers we have counts for
11 papers
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…
Countering Eavesdroppers with Meta-learning-based Cooperative Ambient Backscatter Communications
Nam H. Chu, Nguyen Van Huynh, Diep N. Nguyen +5
This article introduces a novel lightweight framework using ambient backscattering communications to counter eavesdroppers. In particular, our framework divides an original message…
Dynamic Resource Allocation for Metaverse Applications with Deep Reinforcement Learning
Nam H. Chu, Diep N. Nguyen, Dinh Thai Hoang +4
This work proposes a novel framework to dynamically and effectively manage and allocate different types of resources for Metaverse applications, which are forecasted to demand mass…
Optimal Privacy Preserving for Federated Learning in Mobile Edge Computing
Hai M. Nguyen, Nam H. Chu, Diep N. Nguyen +5
Federated Learning (FL) with quantization and deliberately added noise over wireless networks is a promising approach to preserve user differential privacy (DP) while reducing wire…
MetaSlicing: A Novel Resource Allocation Framework for Metaverse
Nam H. Chu, Dinh Thai Hoang, Diep N. Nguyen +4
Creating and maintaining the Metaverse requires enormous resources that have never been seen before, especially computing resources for intensive data processing to support the Ext…
AI-enabled mm-Waveform Configuration for Autonomous Vehicles with Integrated Communication and Sensing
Nam H. Chu, Diep N. Nguyen, Dinh Thai Hoang +4
Integrated Communications and Sensing (ICS) has recently emerged as an enabling technology for ubiquitous sensing and IoT applications. For ICS application to Autonomous Vehicles (…
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…
Energy-based Proportional Fairness in Cooperative Edge Computing
Thai T. Vu, Dinh Thai Hoang, Khoa T. Phan +2
By executing offloaded tasks from mobile users, edge computing augments mobile user equipments (UEs) with computing/communications resources from edge nodes (ENs), enabling new ser…
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…
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…