Nguyen Cong Luong

research

∙ 03/30/2023

Joint Rate Allocation and Power Control for RSMA-Based Communication and Radar Coexistence Systems

We consider a rate-splitting multiple access (RSMA)-based communication ...

0 Trung Thanh Nguyen, 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

∙ 12/13/2022

Edge Computing for Semantic Communication Enabled Metaverse: An Incentive Mechanism Design

Semantic communication (SemCom) and edge computing are two disruptive so...

0 Nguyen Cong Luong, et al. ∙

research

∙ 09/20/2022

Deep Learning-Based Signal Detection for Dual-Mode Index Modulation 3D-OFDM

In this paper, we propose a deep learning-based signal detector called D...

0 Dang-Y Hoang, et al. ∙

research

∙ 07/29/2022

Generalized BER of MCIK-OFDM with Imperfect CSI: Selection combining GD versus ML receivers

This paper analyzes the bit error rate (BER) of multicarrier index keyin...

0 Vu-Duc Ngo, et al. ∙

research

∙ 07/29/2022

Enhancing Diversity of OFDM with Joint Spread Spectrum and Subcarrier Index Modulations

This paper proposes a novel spread spectrum and sub-carrier index modula...

0 Vu-Duc Ngo, et al. ∙

research

∙ 11/17/2021

Intelligence Reflecting Surface-Aided Integrated Data and Energy Networking Coexisting D2D Communications

In this paper, we consider an integrated data and energy network and D2D...

0 Nguyen Thi Thanh Van, et al. ∙

research

∙ 11/08/2021

Access Management in Joint Sensing and Communication Systems: Efficiency versus Fairness

In this paper, we consider a distributed joint sensing and communication...

0 Trung Thanh Nguyen, et al. ∙

research

∙ 10/26/2021

Applications of Multi-Agent Reinforcement Learning in Future Internet: A Comprehensive Survey

Future Internet involves several emerging technologies such as 5G and be...

0 Tianxu Li, et al. ∙

research

∙ 10/05/2021

Securing Federated Learning: A Covert Communication-based Approach

Federated Learning Networks (FLNs) have been envisaged as a promising pa...

0 Yuan-Ai Xie, et al. ∙

research

∙ 05/08/2021

Applications of Auction and Mechanism Design in Edge Computing: A Survey

Edge computing as a promising technology provides lower latency, more ef...

0 Houming Qiu, et al. ∙

research

∙ 05/04/2021

Fast, Reliable, and Secure Drone Communication: A Comprehensive Survey

Drone security is currently a major topic of discussion among researcher...

0 Vikas Hassija, et al. ∙

research

∙ 03/11/2021

Dynamic Network Service Selection in Intelligent Reflecting Surface-Enabled Wireless Systems: Game Theory Approaches

In this paper, we address dynamic network selection problems of mobile u...

0 Nguyen Thi Thanh Van, et al. ∙

research

∙ 08/20/2020

A Survey of Coded Distributed Computing

Distributed computing has become a common approach for large-scale compu...

0 Jer Shyuan Ng, et al. ∙

research

∙ 08/19/2020

Toward Smart Security Enhancement of Federated Learning Networks

As traditional centralized learning networks (CLNs) are facing increasin...

0 Junjie Tan, et al. ∙

research

∙ 08/03/2020

Dynamic Network Service Selection in IRS-Assisted Wireless Networks: A Game Theory Approach

In this letter, we investigate the dynamic network service provider (SP)...

0 Nguyen Cong Luong, 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

∙ 04/08/2020

Resource Management for Blockchain-enabled Federated Learning: A Deep Reinforcement Learning Approach

Blockchain-enabled Federated Learning (BFL) enables model updates of Fed...

0 Nguyen Quang Hieu, et al. ∙

research

∙ 01/10/2020

Joint Time Scheduling and Transaction Fee Selection in Blockchain-based RF-Powered Backscatter Cognitive Radio Network

In this paper, we develop a new framework called blockchain-based Radio ...

0 Tran The Anh, et al. ∙

research

∙ 12/17/2019

Computation Offloading and Content Caching Delivery in Vehicular Edge Computing: A Survey

Autonomous Vehicles (AVs) generated a plethora of data prior to support ...

0 Rudzidatul Akmam Dziyauddin, et al. ∙

research

∙ 10/21/2019

Resource Allocation in Mobility-Aware Federated Learning Networks: A Deep Reinforcement Learning Approach

Federated learning allows mobile devices, i.e., workers, to use their lo...

0 Huy T. Nguyen, et al. ∙

research

∙ 09/26/2019

Federated Learning in Mobile Edge Networks: A Comprehensive Survey

In recent years, mobile devices are equipped with increasingly advanced ...

0 Wei Yang Bryan Lim, et al. ∙

research

∙ 02/28/2019

A Survey on Applications of Game Theory in Blockchain

In the past decades, the blockchain technology has attracted tremendous ...

0 Ziyao Liu, et al. ∙

research

∙ 12/10/2018

Efficient Training Management for Mobile Crowd-Machine Learning: A Deep Reinforcement Learning Approach

In this letter, we consider the concept of Mobile Crowd-Machine Learning...

0 Tran The Anh, et al. ∙

research

∙ 10/24/2018

Joint Transaction Transmission and Channel Selection in Cognitive Radio Based Blockchain Networks: A Deep Reinforcement Learning Approach

To ensure that the data aggregation, data storage, and data processing a...

0 Nguyen Cong Luong, et al. ∙

research

∙ 10/18/2018

Applications of Deep Reinforcement Learning in Communications and Networking: A Survey

This paper presents a comprehensive literature review on applications of...

0 Nguyen Cong Luong, et al. ∙

research

∙ 10/03/2018

Deep Reinforcement Learning for Time Scheduling in RF-Powered Backscatter Cognitive Radio Networks

In an RF-powered backscatter cognitive radio network, multiple secondary...

0 Tran The Anh, et al. ∙

research

∙ 11/08/2017

Optimal Auction For Edge Computing Resource Management in Mobile Blockchain Networks: A Deep Learning Approach

Blockchain has recently been applied in many applications such as bitcoi...

0 Nguyen Cong Luong, et al. ∙

research

∙ 10/13/2017

Applications of Economic and Pricing Models for Resource Management in 5G Wireless Networks: A Survey

This paper presents a comprehensive literature review on applications of...

0 Nguyen Cong Luong, et al. ∙

research

∙ 07/25/2017

Applications of Economic and Pricing Models for Wireless Network Security: A Survey

This paper provides a comprehensive literature review on applications of...

0 Nguyen Cong Luong, et al. ∙

Nguyen Cong Luong

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