146 citations · 309 across the 23 of their papers we have counts for
23 papers
Barycentric Coded Distributed Computing with Flexible Recovery Threshold for Collaborative Mobile Edge Computing
Houming Qiu, Kun Zhu, Dusit Niyato +3
Collaborative mobile edge computing (MEC) has emerged as a promising paradigm to enable low-capability edge nodes to cooperatively execute computation-intensive tasks. However, str…
Diffusion Models for Future Networks and Communications: A Comprehensive Survey
Nguyen Cong Luong, Nguyen Duc Hai, Duc Van Le +9
The rise of Generative AI (GenAI) in recent years has catalyzed transformative advances in wireless communications and networks. Among the members of the GenAI family, Diffusion Mo…
Joint Computation Offloading and Target Tracking in Integrated Sensing and Communication Enabled UAV Networks
Trinh Van Chien, Mai Dinh Cong, Nguyen Cong Luong +3
In this paper, we investigate a joint computation offloading and target tracking in Integrated Sensing and Communication (ISAC)-enabled unmanned aerial vehicle (UAV) network. There…
Joint Rate Allocation and Power Control for RSMA-Based Communication and Radar Coexistence Systems
Trung Thanh Nguyen, Nguyen Cong Luong, Shaohan Feng +4
We consider a rate-splitting multiple access (RSMA)-based communication and radar coexistence (CRC) system. The proposed system allows an RSMA-based communication system to share s…
Edge Computing for Semantic Communication Enabled Metaverse: An Incentive Mechanism Design
Nguyen Cong Luong, Quoc-Viet Pham, Thien Huynh-The +3
Semantic communication (SemCom) and edge computing are two disruptive solutions to address emerging requirements of huge data communication, bandwidth efficiency and low latency da…
Access Management in Joint Sensing and Communication Systems: Efficiency versus Fairness
Trung Thanh Nguyen, Khaled Elbassioni, Nguyen Cong Luong +2
In this paper, we consider a distributed joint sensing and communication (DJSC) system in which multiple radar sensors are deployed. Each sensor is equipped with a sensing function…
Securing Federated Learning: A Covert Communication-based Approach
Yuan-Ai Xie, Jiawen Kang, Dusit Niyato +4
Federated Learning Networks (FLNs) have been envisaged as a promising paradigm to collaboratively train models among mobile devices without exposing their local privacy data. Due t…
Applications of Auction and Mechanism Design in Edge Computing: A Survey
Houming Qiu, Kun Zhu, Nguyen Cong Luong +3
Edge computing as a promising technology provides lower latency, more efficient transmission, and faster speed of data processing since the edge servers are closer to the user devi…
Dynamic Network Service Selection in Intelligent Reflecting Surface-Enabled Wireless Systems: Game Theory Approaches
Nguyen Thi Thanh Van, Nguyen Cong Luong, Feng Shaohan +4
In this paper, we address dynamic network selection problems of mobile users in an Intelligent Reflecting Surface (IRS)-enabled wireless network. In particular, the users dynamical…
A Survey of Coded Distributed Computing
Jer Shyuan Ng, Wei Yang Bryan Lim, Nguyen Cong Luong +5
Distributed computing has become a common approach for large-scale computation of tasks due to benefits such as high reliability, scalability, computation speed, and costeffectiven…
Toward Smart Security Enhancement of Federated Learning Networks
Junjie Tan, Ying-Chang Liang, Nguyen Cong Luong +1
As traditional centralized learning networks (CLNs) are facing increasing challenges in terms of privacy preservation, communication overheads, and scalability, federated learning…
Dynamic Network Service Selection in IRS-Assisted Wireless Networks: A Game Theory Approach
Nguyen Cong Luong, Nguyen Thi Thanh Van, Feng Shaohan +3
In this letter, we investigate the dynamic network service provider (SP) and service selection in an intelligent reflecting surface (IRS)-assisted wireless network. In the network,…
iRDRC: An Intelligent Real-time Dual-functional Radar-Communication System for Automotive Vehicles
Nguyen Quang Hieu, Dinh Thai Hoang, Nguyen Cong Luong +1
This letter introduces an intelligent Real-time Dual-functional Radar-Communication (iRDRC) system for autonomous vehicles (AVs). This system enables an AV to perform both radar an…
Resource Management for Blockchain-enabled Federated Learning: A Deep Reinforcement Learning Approach
Nguyen Quang Hieu, Tran The Anh, Nguyen Cong Luong +3
Blockchain-enabled Federated Learning (BFL) enables mobile devices to collaboratively train neural network models required by a Machine Learning Model Owner (MLMO) while keeping da…
Joint Time Scheduling and Transaction Fee Selection in Blockchain-based RF-Powered Backscatter Cognitive Radio Network
Tran The Anh, Nguyen Cong Luong, Zehui Xiong +2
In this paper, we develop a new framework called blockchain-based Radio Frequency (RF)-powered backscatter cognitive radio network. In the framework, IoT devices as secondary trans…
Computation Offloading and Content Caching Delivery in Vehicular Edge Computing: A Survey
Rudzidatul Akmam Dziyauddin, Dusit Niyato, Nguyen Cong Luong +3
Autonomous Vehicles (AVs) generated a plethora of data prior to support various vehicle applications. Thus, a big storage and high computation platform is necessary, and this is po…
Resource Allocation in Mobility-Aware Federated Learning Networks: A Deep Reinforcement Learning Approach
Huy T. Nguyen, Nguyen Cong Luong, Jun Zhao +2
Federated learning allows mobile devices, i.e., workers, to use their local data to collaboratively train a global model required by the model owner. Federated learning thus addres…
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
Wei Yang Bryan Lim, Nguyen Cong Luong, Dinh Thai Hoang +5
In recent years, mobile devices are equipped with increasingly advanced sensing and computing capabilities. Coupled with advancements in Deep Learning (DL), this opens up countless…
A Survey on Applications of Game Theory in Blockchain
Ziyao Liu, Nguyen Cong Luong, Wenbo Wang +4
In the past decades, the blockchain technology has attracted tremendous attention from both academia and industry. The popularity of blockchain networks was originated from a crypt…
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
Nguyen Cong Luong, Dinh Thai Hoang, Shimin Gong +4
This paper presents a comprehensive literature review on applications of deep reinforcement learning in communications and networking. Modern networks, e.g., Internet of Things (Io…
Deep Reinforcement Learning for Time Scheduling in RF-Powered Backscatter Cognitive Radio Networks
Tran The Anh, Nguyen Cong Luong, Dusit Niyato +2
In an RF-powered backscatter cognitive radio network, multiple secondary users communicate with a secondary gateway by backscattering or harvesting energy and actively transmitting…
Optimal Auction For Edge Computing Resource Management in Mobile Blockchain Networks: A Deep Learning Approach
Nguyen Cong Luong, Zehui Xiong, Ping Wang +1
Blockchain has recently been applied in many applications such as bitcoin, smart grid, and Internet of Things (IoT) as a public ledger of transactions. However, the use of blockcha…
Applications of Economic and Pricing Models for Wireless Network Security: A Survey
Nguyen Cong Luong, Dinh Thai Hoang, Ping Wang +2
This paper provides a comprehensive literature review on applications of economic and pricing theory to security issues in wireless networks. Unlike wireline networks, the broadcas…