Dinh Thai Hoang

research

∙ 09/04/2023

A Human-Centric Metaverse Enabled by Brain-Computer Interface: A Survey

The growing interest in the Metaverse has generated momentum for members...

0 Howe Yuan Zhu, et al. ∙

research

∙ 08/30/2023

Securing Blockchain Systems: A Novel Collaborative Learning Framework to Detect Attacks in Transactions and Smart Contracts

With the escalating prevalence of malicious activities exploiting vulner...

0 Tran Viet Khoa, et al. ∙

research

∙ 08/09/2023

Wirelessly Powered Federated Learning Networks: Joint Power Transfer, Data Sensing, Model Training, and Resource Allocation

Federated learning (FL) has found many successes in wireless networks; h...

0 Mai Le, et al. ∙

research

∙ 08/04/2023

Countering Eavesdroppers with Meta-learning-based Cooperative Ambient Backscatter Communications

This article introduces a novel lightweight framework using ambient back...

0 Nam H. Chu, et al. ∙

research

∙ 07/25/2023

Elastic Entangled Pair and Qubit Resource Management in Quantum Cloud Computing

Quantum cloud computing (QCC) offers a promising approach to efficiently...

0 Rakpong Kaewpuang, et al. ∙

research

∙ 04/30/2023

MetaShard: A Novel Sharding Blockchain Platform for Metaverse Applications

Due to its security, transparency, and flexibility in verifying virtual ...

0 Cong T. Nguyen, et al. ∙

research

∙ 04/20/2023

Transmit Power Minimization for STAR-RIS Empowered Symbiotic Radio Communications

In this paper, we propose a simultaneously transmitting and reflecting r...

0 Chao Zhou, et al. ∙

research

∙ 04/05/2023

Robust Secure Transmission for Active RIS Enabled Symbiotic Radio Multicast Communications

In this paper, we propose a robust secure transmission scheme for an act...

0 Bin Lyu, et al. ∙

research

∙ 03/19/2023

Enabling Immersion and Presence in the Metaverse with Over-the-Air Brain-Computer Interface

Decoding brain signals can not only reveal Metaverse users' expectations...

0 Nguyen Quang Hieu, et al. ∙

research

∙ 02/27/2023

Dynamic Resource Allocation for Metaverse Applications with Deep Reinforcement Learning

This work proposes a novel framework to dynamically and effectively mana...

0 Nam H. Chu, et al. ∙

research

∙ 02/06/2023

Network-Aided Intelligent Traffic Steering in 6G ORAN: A Multi-Layer Optimization Framework

To enable an intelligent, programmable and multi-vendor radio access net...

0 Van-Dinh Nguyen, et al. ∙

research

∙ 02/01/2023

Distributed Traffic Synthesis and Classification in Edge Networks: A Federated Self-supervised Learning Approach

With the rising demand for wireless services and increased awareness of ...

0 Yong Xiao, et al. ∙

research

∙ 01/26/2023

Time-sensitive Learning for Heterogeneous Federated Edge Intelligence

Real-time machine learning has recently attracted significant interest d...

0 Yong Xiao, et al. ∙

research

∙ 12/27/2022

Hierarchical Deep Reinforcement Learning for Age-of-Information Minimization in IRS-aided and Wireless-powered Wireless Networks

In this paper, we focus on a wireless-powered sensor network coordinated...

0 Shimin Gong, et al. ∙

research

∙ 12/17/2022

Toward BCI-enabled Metaverse: A Joint Radio and Computing Resource Allocation Approach

Toward user-driven Metaverse applications with fast wireless connectivit...

0 Nguyen Quang Hieu, et al. ∙

research

∙ 11/14/2022

Optimal Privacy Preserving in Wireless Federated Learning System over Mobile Edge Computing

Federated Learning (FL) with quantization and deliberately added noise o...

0 Hai M. Nguyen, et al. ∙

research

∙ 09/29/2022

Label driven Knowledge Distillation for Federated Learning with non-IID Data

In real-world applications, Federated Learning (FL) meets two challenges...

0 Minh-Duong Nguyen, et al. ∙

research

∙ 07/25/2022

When Virtual Reality Meets Rate Splitting Multiple Access: A Joint Communication and Computation Approach

Rate Splitting Multiple Access (RSMA) has emerged as an effective interf...

0 Nguyen Quang Hieu, et al. ∙

research

∙ 05/23/2022

MetaSlicing: A Novel Resource Allocation Framework for Metaverse

Creating and maintaining the Metaverse requires enormous resources that ...

0 Nam H. Chu, et al. ∙

research

∙ 04/14/2022

HCFL: A High Compression Approach for Communication-Efficient Federated Learning in Very Large Scale IoT Networks

Federated learning (FL) is a new artificial intelligence concept that en...

0 Minh-Duong Nguyen, et al. ∙

research

∙ 03/31/2022

Joint Power Allocation and Rate Control for Rate Splitting Multiple Access Networks with Covert Communications

Rate Splitting Multiple Access (RSMA) has recently emerged as a promisin...

0 Nguyen Quang Hieu, et al. ∙

research

∙ 03/28/2022

An Effective Framework of Private Ethereum Blockchain Networks for Smart Grid

A smart grid is an important application in Industry 4.0 with a lot of n...

0 Do Hai Son, et al. ∙

research

∙ 03/21/2022

Collaborative Learning for Cyberattack Detection in Blockchain Networks

This article aims to study intrusion attacks and then develop a novel cy...

0 Tran Viet Khoa, et al. ∙

research

∙ 02/23/2022

AI-empowered Joint Communication and Radar Systems with Adaptive Waveform for Autonomous Vehicles

In Joint Communication and Radar (JCR)-based Autonomous Vehicle (AV) sys...

0 Nam H. Chu, et al. ∙

research

∙ 01/17/2022

A Novel Covert Communication Method using Ambient Backscatter Communications

This paper introduces a novel solution to enable covert communication in...

0 Nguyen Van Huynh, et al. ∙

research

∙ 01/03/2022

Energy-based Proportional Fairness in Cooperative Edge Computing

By executing offloaded tasks from mobile users, edge computing augments ...

0 Thai T. Vu, et al. ∙

research

∙ 12/30/2021

MetaChain: A Novel Blockchain-based Framework for Metaverse Applications

Metaverse has recently attracted paramount attention due to its potentia...

0 Cong T. Nguyen, et al. ∙

research

∙ 12/02/2021

Deep Transfer Learning: A Novel Collaborative Learning Model for Cyberattack Detection Systems in IoT Networks

Federated Learning (FL) has recently become an effective approach for cy...

0 Tran Viet Khoa, et al. ∙

research

∙ 11/10/2021

Secure and Reliable Transfer Learning Framework for 6G-enabled Internet of Vehicles

In the coming 6G era, Internet of Vehicles (IoV) has been evolving towar...

0 Minrui Xu, et al. ∙

research

∙ 09/22/2021

In-network Computation for Large-scale Federated Learning over Wireless Edge Networks

Most conventional Federated Learning (FL) models are using a star networ...

0 Thinh Quang Dinh, et al. ∙

research

∙ 09/22/2021

Enabling Large-Scale Federated Learning over Wireless Edge Networks

Major bottlenecks of large-scale Federated Learning(FL) networks are the...

0 Thinh Quang Dinh, et al. ∙

research

∙ 07/29/2021

Secure Swarm UAV-assisted Communications with Cooperative Friendly Jamming

This article proposes a cooperative friendly jamming framework for swarm...

0 Hanh Dang-Ngoc, et al. ∙

research

∙ 07/01/2021

Optimal Power Allocation for Rate Splitting Communications with Deep Reinforcement Learning

This letter introduces a novel framework to optimize the power allocatio...

0 Nguyen Quang Hieu, et al. ∙

research

∙ 06/19/2021

Joint Speed Control and Energy Replenishment Optimization for UAV-assisted IoT Data Collection with Deep Reinforcement Transfer Learning

Unmanned aerial vehicle (UAV)-assisted data collection has been emerging...

0 Nam H. Chu, et al. ∙

research

∙ 06/10/2021

Jointly Optimize Coding and Node Selection for Distributed Computing over Wireless Edge Networks

This work aims to jointly optimize the coding and node selection to mini...

0 Cong T. Nguyen, et al. ∙

research

∙ 05/04/2021

Defeating Super-Reactive Jammers With Deception Strategy: Modeling, Signal Detection, and Performance Analysis

This paper develops a novel framework to defeat a super-reactive jammer,...

0 Nguyen Van Huynh, et al. ∙

research

∙ 03/07/2021

Joint Coding and Scheduling Optimization for Distributed Learning over Wireless Edge Networks

Unlike theoretical distributed learning (DL), DL over wireless edge netw...

0 Nguyen Van Huynh, et al. ∙

research

∙ 02/15/2021

Transfer Learning for Future Wireless Networks: A Comprehensive Survey

With outstanding features, Machine Learning (ML) has been the backbone o...

16 Cong T. Nguyen, et al. ∙

research

∙ 01/29/2021

FedChain: Secure Proof-of-Stake-based Framework for Federated-blockchain Systems

In this paper, we propose FedChain, a novel framework for federated-bloc...

0 Cong T. Nguyen, et al. ∙

research

∙ 01/18/2021

Machine Learning-Enabled Joint Antenna Selection and Precoding Design: From Offline Complexity to Online Performance

We investigate the performance of multi-user multiple-antenna downlink s...

0 Thang X. Vu, et al. ∙

research

∙ 01/01/2021

Dynamic Federated Learning-Based Economic Framework for Internet-of-Vehicles

Federated learning (FL) can empower Internet-of-Vehicles (IoV) networks ...

17 Yuris Mulya Saputra, et al. ∙

research

∙ 11/12/2020

Fast or Slow: An Autonomous Speed Control Approach for UAV-assisted IoT Data Collection Networks

Unmanned Aerial Vehicles (UAVs) have been emerging as an effective solut...

0 Nam H. Chu, et al. ∙

research

∙ 07/30/2020

Swarm Intelligence for Next-Generation Wireless Networks: Recent Advances and Applications

Due to the proliferation of smart devices and emerging applications, man...

0 Quoc-Viet Pham, et al. ∙

research

∙ 07/26/2020

Radio Resource Management in Joint Radar and Communication: A Comprehensive Survey

Joint radar and communication (JRC) has recently attracted substantial a...

0 Nguyen Cong Luong, et al. ∙

research

∙ 07/11/2020

iRDRC: An Intelligent Real-time Dual-functional Radar-Communication System for Automotive Vehicles

This letter introduces an intelligent Real-time Dual-functional Radar-Co...

0 Nguyen Quang Hieu, et al. ∙

research

∙ 05/29/2020

Energy Trading and Time Scheduling for Heterogeneous Wireless-Powered and Backscattering-based IoT Networks

In this paper, an economic model is proposed for joint time resource all...

0 Ngoc-Tan Nguyen, et al. ∙

research

∙ 05/25/2020

Optimization-driven Deep Reinforcement Learning for Robust Beamforming in IRS-assisted Wireless Communications

Intelligent reflecting surface (IRS) is a promising technology to assist...

0 Jiaye Lin, et al. ∙

research

∙ 05/13/2020

DeepFake: Deep Dueling-based Deception Strategy to Defeat Reactive Jammers

In this paper, we introduce DeepFake, a novel deep reinforcement learnin...

0 Nguyen Van Huynh, et al. ∙

research

∙ 05/10/2020

BlockRoam: Blockchain-based Roaming Management System for Future Mobile Networks

Mobile service providers (MSPs) are particularly vulnerable to roaming f...

0 Cong T. Nguyen, et al. ∙

research

∙ 05/02/2020

Optimal Beam Association for High Mobility mmWave Vehicular Networks: Lightweight Parallel Reinforcement Learning Approach

In intelligent transportation systems (ITS), vehicles are expected to fe...

0 Nguyen Van Huynh, et al. ∙

Dinh Thai Hoang

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