Dinh Thai Hoang

Orcid: 0000-0002-9528-0863

According to our database1, Dinh Thai Hoang authored at least 242 papers between 2010 and 2024.

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Bibliography

2024
Energy-Based Proportional Fairness in Cooperative Edge Computing.
IEEE Trans. Mob. Comput., December, 2024

Sparse Attention-Driven Quality Prediction for Production Process Optimization in Digital Twins.
IEEE Internet Things J., December, 2024

Wirelessly Powered Federated Learning Networks: Joint Power Transfer, Data Sensing, Model Training, and Resource Allocation.
IEEE Internet Things J., November, 2024

Energy-Efficient Decentralized Federated Learning for UAV Swarm With Spiking Neural Networks and Leader Election Mechanism.
IEEE Wirel. Commun. Lett., October, 2024

Countering Eavesdroppers With Meta- Learning-Based Cooperative Ambient Backscatter Communications.
IEEE Trans. Wirel. Commun., October, 2024

Reconstructing Human Pose From Inertial Measurements: A Generative Model-Based Compressive Sensing Approach.
IEEE J. Sel. Areas Commun., October, 2024

Risk-Aware Antenna Selection for Multiuser Massive MIMO Under Incomplete CSI.
IEEE Trans. Wirel. Commun., September, 2024

Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally.
IEEE Trans. Artif. Intell., September, 2024

CNN-FL for Biotechnology Industry Empowered by Internet-of-BioNano Things and Digital Twins.
IEEE Internet Things Mag., September, 2024

Collaborative Learning for Cyberattack Detection in Blockchain Networks.
IEEE Trans. Syst. Man Cybern. Syst., July, 2024

Guest Editorial: Sustainable Big AI Model for Wireless Networks.
IEEE Wirel. Commun., June, 2024

Encrypted Data Caching and Learning Framework for Robust Federated Learning-Based Mobile Edge Computing.
IEEE/ACM Trans. Netw., June, 2024

Generative AI for Physical Layer Communications: A Survey.
IEEE Trans. Cogn. Commun. Netw., June, 2024

MetaShard: A Novel Sharding Blockchain Platform for Metaverse Applications.
IEEE Trans. Mob. Comput., May, 2024

MetaSlicing: A Novel Resource Allocation Framework for Metaverse.
IEEE Trans. Mob. Comput., May, 2024

Constrained Twin Variational Auto-Encoder for Intrusion Detection in IoT Systems.
IEEE Internet Things J., April, 2024

Cooperative Commensal and Parasitic Symbiotic Radio Communication Systems.
IEEE Wirel. Commun. Lett., March, 2024

Time-Sensitive Learning for Heterogeneous Federated Edge Intelligence.
IEEE Trans. Mob. Comput., February, 2024

Distributed Traffic Synthesis and Classification in Edge Networks: A Federated Self-Supervised Learning Approach.
IEEE Trans. Mob. Comput., February, 2024

Network-Aided Intelligent Traffic Steering in 6G O-RAN: A Multi-Layer Optimization Framework.
IEEE J. Sel. Areas Commun., February, 2024

Emerging Technologies for 6G Non-Terrestrial-Networks: From Academia to Industrial Applications.
IEEE Open J. Commun. Soc., 2024

Biologically-Inspired Technologies: Integrating Brain-Computer Interface and Neuromorphic Computing for Human Digital Twins.
CoRR, 2024

Point Cloud Compression with Bits-back Coding.
CoRR, 2024

Dynamic Spectrum Access for Ambient Backscatter Communication-assisted D2D Systems with Quantum Reinforcement Learning.
CoRR, 2024

Balancing Security and Accuracy: A Novel Federated Learning Approach for Cyberattack Detection in Blockchain Networks.
CoRR, 2024

A Lightweight Human Pose Estimation Approach for Edge Computing-Enabled Metaverse with Compressive Sensing.
CoRR, 2024

Semi-Supervised Learning for Anomaly Detection in Blockchain-based Supply Chains.
CoRR, 2024

Sparse Attention-driven Quality Prediction for Production Process Optimization in Digital Twins.
CoRR, 2024

DDPG-E2E: A Novel Policy Gradient Approach for End-to-End Communication Systems.
CoRR, 2024

Multiple-Input Auto-Encoder Guided Feature Selection for IoT Intrusion Detection Systems.
CoRR, 2024

Twin Auto-Encoder Model for Learning Separable Representation in Cyberattack Detection.
CoRR, 2024

Emerging Technologies for 6G Non-Terrestrial-Networks: From Academia to Industrial Applications.
CoRR, 2024

Generative AI for Unmanned Vehicle Swarms: Challenges, Applications and Opportunities.
CoRR, 2024

Generative AI-enabled Blockchain Networks: Fundamentals, Applications, and Case Study.
CoRR, 2024

A Novel Blockchain Based Information Management Framework for Web 3.0.
CoRR, 2024

Enabling Technologies for Web 3.0: A Comprehensive Survey.
CoRR, 2024

A Human-Centric Metaverse Enabled by Brain-Computer Interface: A Survey.
IEEE Commun. Surv. Tutorials, 2024

Real-time Cyberattack Detection with Collaborative Learning for Blockchain Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Towards Secure AI-empowered Vehicular Networks: A Federated Learning Approach using Homomorphic Encryption.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

Homomorphic Encryption-Enabled Federated Learning for Privacy-Preserving Intrusion Detection in Resource-Constrained IoV Networks.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

Multiple-Input Auto-Encoder for IoT Intrusion Detection Systems with Heterogeneous Data.
Proceedings of the IEEE International Conference on Communications, 2024

2023
Robust Secure Transmission for Active RIS Enabled Symbiotic Radio Multicast Communications.
IEEE Trans. Wirel. Commun., December, 2023

Toward Improved Reliability of Deep Learning Based Systems Through Online Relabeling of Potential Adversarial Attacks.
IEEE Trans. Reliab., December, 2023

Transmit Power Minimization for STAR-RIS Empowered Symbiotic Radio Communications.
IEEE Trans. Cogn. Commun. Netw., December, 2023

Hierarchical Deep Reinforcement Learning for Age-of-Information Minimization in IRS-Aided and Wireless-Powered Wireless Networks.
IEEE Trans. Wirel. Commun., November, 2023

HCFL: A High Compression Approach for Communication-Efficient Federated Learning in Very Large Scale IoT Networks.
IEEE Trans. Mob. Comput., November, 2023

In-Network Computation for Large-Scale Federated Learning Over Wireless Edge Networks.
IEEE Trans. Mob. Comput., October, 2023

AI-Enabled mm-Waveform Configuration for Autonomous Vehicles With Integrated Communication and Sensing.
IEEE Internet Things J., October, 2023

6G and Onward to Next G: the Road to the Multiverse.
IEEE Commun. Mag., October, 2023

Federated Learning Framework With Straggling Mitigation and Privacy-Awareness for AI-Based Mobile Application Services.
IEEE Trans. Mob. Comput., September, 2023

Bayesian Optimization Enhanced Deep Reinforcement Learning for Trajectory Planning and Network Formation in Multi-UAV Networks.
IEEE Trans. Veh. Technol., August, 2023

Pilot Sequences With Low Coherence and PAPR for Grant-Free Massive Access.
IEEE Wirel. Commun. Lett., July, 2023

When Virtual Reality Meets Rate Splitting Multiple Access: A Joint Communication and Computation Approach.
IEEE J. Sel. Areas Commun., May, 2023

Deep Transfer Learning: A Novel Collaborative Learning Model for Cyberattack Detection Systems in IoT Networks.
IEEE Internet Things J., May, 2023

Elastic Resource Allocation for Coded Distributed Computing Over Heterogeneous Wireless Edge Networks.
IEEE Trans. Wirel. Commun., April, 2023

Dynamic Federated Learning-Based Economic Framework for Internet-of-Vehicles.
IEEE Trans. Mob. Comput., April, 2023

Joint Power Allocation and Rate Control for Rate Splitting Multiple Access Networks With Covert Communications.
IEEE Trans. Commun., April, 2023

Joint Speed Control and Energy Replenishment Optimization for UAV-Assisted IoT Data Collection With Deep Reinforcement Transfer Learning.
IEEE Internet Things J., April, 2023

Hierarchical Multi-Agent Deep Reinforcement Learning for Energy-Efficient Hybrid Computation Offloading.
IEEE Trans. Veh. Technol., 2023

FedChain: Secure Proof-of-Stake-Based Framework for Federated-Blockchain Systems.
IEEE Trans. Serv. Comput., 2023

Deep Generative Learning Models for Cloud Intrusion Detection Systems.
IEEE Trans. Cybern., 2023

Guest Editorial: Connected And Autonomous Vehicles.
IEEE Netw., 2023

Securing MIMO Wiretap Channel with Learning-Based Friendly Jamming under Imperfect CSI.
CoRR, 2023

Sample-Driven Federated Learning for Energy-Efficient and Real-Time IoT Sensing.
CoRR, 2023

Securing Blockchain Systems: A Novel Collaborative Learning Framework to Detect Attacks in Transactions and Smart Contracts.
CoRR, 2023

Elastic Entangled Pair and Qubit Resource Management in Quantum Cloud Computing.
CoRR, 2023

MetaShard: A Novel Sharding Blockchain Platform for Metaverse Applications.
CoRR, 2023

Enabling Immersion and Presence in the Metaverse with Over-the-Air Brain-Computer Interface.
CoRR, 2023

Network-Aided Intelligent Traffic Steering in 6G ORAN: A Multi-Layer Optimization Framework.
CoRR, 2023

Time-sensitive Learning for Heterogeneous Federated Edge Intelligence.
CoRR, 2023

Defeating Eavesdroppers with Ambient Backscatter Communications.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Dynamic Resource Allocation for Metaverse Applications with Deep Reinforcement Learning.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Optimal Privacy Preserving in Wireless Federated Learning Over Mobile Edge Computing.
Proceedings of the IEEE International Conference on Communications, 2023

A Unified Resource Allocation Framework for Virtual Reality Streaming over Wireless Networks.
Proceedings of the IEEE International Conference on Communications, 2023

Enabling Intelligent Traffic Steering in A Hierarchical Open Radio Access Network.
Proceedings of the IEEE Global Communications Conference, 2023

Toward BCI-Enabled Metaverse: A Joint Learning and Resource Allocation Approach.
Proceedings of the IEEE Global Communications Conference, 2023

A Novel Transfer Learning Model for Intrusion Detection Systems in IoT Networks.
Proceedings of the Emerging Trends in Cybersecurity Applications, 2023

2022
Frequency Hopping Joint Radar-Communications With Hybrid Sub-Pulse Frequency and Duration Modulation.
IEEE Wirel. Commun. Lett., 2022

Secure and Reliable Transfer Learning Framework for 6G-Enabled Internet of Vehicles.
IEEE Wirel. Commun., 2022

Defeating Super-Reactive Jammers With Deception Strategy: Modeling, Signal Detection, and Performance Analysis.
IEEE Trans. Wirel. Commun., 2022

Optimization-Driven Hierarchical Learning Framework for Wireless Powered Backscatter-Aided Relay Communications.
IEEE Trans. Wirel. Commun., 2022

IRS-Assisted Downlink and Uplink NOMA in Wireless Powered Communication Networks.
IEEE Trans. Veh. Technol., 2022

Federated Learning Meets Contract Theory: Economic-Efficiency Framework for Electric Vehicle Networks.
IEEE Trans. Mob. Comput., 2022

BlockRoam: Blockchain-Based Roaming Management System for Future Mobile Networks.
IEEE Trans. Mob. Comput., 2022

Learning Latent Representation for IoT Anomaly Detection.
IEEE Trans. Cybern., 2022

Transferable Deep Reinforcement Learning Framework for Autonomous Vehicles With Joint Radar-Data Communications.
IEEE Trans. Commun., 2022

Robust Beamforming Optimization for Self-Sustainable Intelligent Reflecting Surface Assisted Wireless Networks.
IEEE Trans. Cogn. Commun. Netw., 2022

Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning.
IEEE Trans. Artif. Intell., 2022

Transfer Learning for Wireless Networks: A Comprehensive Survey.
Proc. IEEE, 2022

Secure Wirelessly Powered Networks at the Physical Layer: Challenges, Countermeasures, and Road Ahead.
Proc. IEEE, 2022

Joint Coding and Scheduling Optimization for Distributed Learning Over Wireless Edge Networks.
IEEE J. Sel. Areas Commun., 2022

Secure Swarm UAV-Assisted Communications With Cooperative Friendly Jamming.
IEEE Internet Things J., 2022

Toward BCI-enabled Metaverse: A Joint Radio and Computing Resource Allocation Approach.
CoRR, 2022

Optimal Privacy Preserving in Wireless Federated Learning System over Mobile Edge Computing.
CoRR, 2022

Label driven Knowledge Distillation for Federated Learning with non-IID Data.
CoRR, 2022

MetaSlicing: A Novel Resource Allocation Framework for Metaverse.
CoRR, 2022

An Effective Framework of Private Ethereum Blockchain Networks for Smart Grid.
CoRR, 2022

AI-empowered Joint Communication and Radar Systems with Adaptive Waveform for Autonomous Vehicles.
CoRR, 2022

A Novel Covert Communication Method using Ambient Backscatter Communications.
CoRR, 2022

Energy-based Proportional Fairness in Cooperative Edge Computing.
CoRR, 2022

DeepPlace: Deep reinforcement learning for adaptive flow rule placement in Software-Defined IoT Networks.
Comput. Commun., 2022

Hierarchical Learning Approach for Age-of-Information Minimization in Wireless Sensor Networks.
Proceedings of the 23rd IEEE International Symposium on a World of Wireless, 2022

Optimize Coding and Node Selection for Coded Distributed Computing over Wireless Edge Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Multiple Correlated Jammers Suppression: A Deep Dueling Q-Learning Approach.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Twin Variational Auto-Encoder for Representation Learning in IoT Intrusion Detection.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Reconfigurable Intelligent Surface Assisted Secure Symbiotic Radio Multicast Communications.
Proceedings of the 96th Vehicular Technology Conference, 2022

MetaChain: A Novel Blockchain-based Framework for Metaverse Applications.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

Cooperative Friendly Jamming in Swarm UAV-assisted Communications with Wireless Energy Harvesting.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

Energy Minimization for Wireless Powered Data Offloading in IRS-assisted MEC for Vehicular Networks.
Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022

Energy-based Proportional Fairness for Task Offloading and Resource Allocation in Edge Computing.
Proceedings of the IEEE International Conference on Communications, 2022

In-Network Caching and Learning Optimization for Federated Learning in Mobile Edge Networks.
Proceedings of the IEEE International Conference on Communications, 2022

Balanced Twin Auto-Encoder for IoT Intrusion Detection.
Proceedings of the IEEE Global Communications Conference, 2022

2021
Optimal Power Allocation for Rate Splitting Communications With Deep Reinforcement Learning.
IEEE Wirel. Commun. Lett., 2021

Machine Learning-Enabled Joint Antenna Selection and Precoding Design: From Offline Complexity to Online Performance.
IEEE Trans. Wirel. Commun., 2021

Time Scheduling and Energy Trading for Heterogeneous Wireless-Powered and Backscattering-Based IoT Networks.
IEEE Trans. Wirel. Commun., 2021

DeepFake: Deep Dueling-Based Deception Strategy to Defeat Reactive Jammers.
IEEE Trans. Wirel. Commun., 2021

A Hierarchical Game Model for OFDM Integrated Radar and Communication Systems.
IEEE Trans. Veh. Technol., 2021

Protecting Multi-Function Wireless Systems From Jammers With Backscatter Assistance: An Intelligent Strategy.
IEEE Trans. Veh. Technol., 2021

A Novel Mobile Edge Network Architecture with Joint Caching-Delivering and Horizontal Cooperation.
IEEE Trans. Mob. Comput., 2021

Optimal Energy Efficiency With Delay Constraints for Multi-Layer Cooperative Fog Computing Networks.
IEEE Trans. Commun., 2021

Optimized Energy and Information Relaying in Self-Sustainable IRS-Empowered WPCN.
IEEE Trans. Commun., 2021

Optimal Beam Association for High Mobility mmWave Vehicular Networks: Lightweight Parallel Reinforcement Learning Approach.
IEEE Trans. Commun., 2021

Federated Deep Reinforcement Learning for Traffic Monitoring in SDN-Based IoT Networks.
IEEE Trans. Cogn. Commun. Netw., 2021

Swarm intelligence for next-generation networks: Recent advances and applications.
J. Netw. Comput. Appl., 2021

In-network Computation for Large-scale Federated Learning over Wireless Edge Networks.
CoRR, 2021

Coded Federated Learning Framework for AI-Based Mobile Application Services with Privacy-Awareness.
CoRR, 2021

Jointly Optimize Coding and Node Selection for Distributed Computing over Wireless Edge Networks.
CoRR, 2021

Transfer Learning for Future Wireless Networks: A Comprehensive Survey.
CoRR, 2021

FedChain: Secure Proof-of-Stake-based Framework for Federated-blockchain Systems.
CoRR, 2021

Dynamic Federated Learning-Based Economic Framework for Internet-of-Vehicles.
CoRR, 2021

Radio Resource Management in Joint Radar and Communication: A Comprehensive Survey.
IEEE Commun. Surv. Tutorials, 2021

Blockchain-based Secure Platform for Coalition Loyalty Program Management.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

Robust Beamforming for IRS-assisted Wireless Communications under Channel Uncertainty.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

Fast or Slow: An Autonomous Speed Control Approach for UAV-assisted IoT Data Collection Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

Boosting Secret Key Generation for IRS-Assisted Symbiotic Radio Communications.
Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021

Defeating Reactive Jammers with Deep Dueling-based Deception Mechanism.
Proceedings of the ICC 2021, 2021

Incentive Mechanism for AI-Based Mobile Applications with Coded Federated Learning.
Proceedings of the IEEE Global Communications Conference, 2021

Selective Federated Learning for On-Road Services in Internet-of-Vehicles.
Proceedings of the IEEE Global Communications Conference, 2021

Dynamic Optimal Coding and Scheduling for Distributed Learning over Wireless Edge Networks.
Proceedings of the IEEE Global Communications Conference, 2021

Enabling Large-Scale Federated Learning over Wireless Edge Networks.
Proceedings of the IEEE Global Communications Conference, 2021

Jamming Mitigation in JRC Systems via Deep Reinforcement Learning and Backscatter-supported Intelligent Deception Strategy.
Proceedings of the 6th IEEE International Conference on Computer and Communication Systems, 2021

2020
Backscatter Then Forward: A Relaying Scheme for Batteryless IoT Networks.
IEEE Wirel. Commun. Lett., 2020

IRS-Based Wireless Jamming Attacks: When Jammers Can Attack Without Power.
IEEE Wirel. Commun. Lett., 2020

Optimal Time Scheduling in Relay Assisted Batteryless IoT Networks.
IEEE Wirel. Commun. Lett., 2020

Ambient Backscatter: A Novel Method to Defend Jamming Attacks for Wireless Networks.
IEEE Wirel. Commun. Lett., 2020

iRDRC: An Intelligent Real-Time Dual-Functional Radar-Communication System for Automotive Vehicles.
IEEE Wirel. Commun. Lett., 2020

"Borrowing Arrows with Thatched Boats": The Art of Defeating Reactive Jammers in IoT Networks.
IEEE Wirel. Commun., 2020

Wireless Powered Intelligent Reflecting Surfaces for Enhancing Wireless Communications.
IEEE Trans. Veh. Technol., 2020

An Artificial Intelligence Framework for Slice Deployment and Orchestration in 5G Networks.
IEEE Trans. Cogn. Commun. Netw., 2020

Optimal Pricing of Internet of Things: A Machine Learning Approach.
IEEE J. Sel. Areas Commun., 2020

Capitalizing Backscatter-Aided Hybrid Relay Communications With Wireless Energy Harvesting.
IEEE Internet Things J., 2020

Guest Editorial Special Issue on Internet of Things for Smart Ocean.
IEEE Internet Things J., 2020

Swarm Intelligence for Next-Generation Wireless Networks: Recent Advances and Applications.
CoRR, 2020

Energy Trading and Time Scheduling for Heterogeneous Wireless-Powered and Backscattering-based IoT Networks.
CoRR, 2020

Optimization-driven Deep Reinforcement Learning for Robust Beamforming in IRS-assisted Wireless Communications.
CoRR, 2020

BlockRoam: Blockchain-based Roaming Management System for Future Mobile Networks.
CoRR, 2020

Federated Learning Meets Contract Theory: Energy-Efficient Framework for Electric Vehicle Networks.
CoRR, 2020

Federated Learning in Mobile Edge Networks: A Comprehensive Survey.
IEEE Commun. Surv. Tutorials, 2020

Toward Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey.
IEEE Commun. Surv. Tutorials, 2020

Deep Transfer Learning for IoT Attack Detection.
IEEE Access, 2020

A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing - Part II: Emerging Technologies and Open Issues.
IEEE Access, 2020

A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing - Part I: Fundamentals and Enabling Technologies.
IEEE Access, 2020

Optimization-driven Hierarchical Deep Reinforcement Learning for Hybrid Relaying Communications.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

Joint Energy Beamforming and Optimization for Intelligent Reflecting Surface Enhanced Communications.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference Workshops, 2020

Blockchain and Stackelberg Game Model for Roaming Fraud Prevention and Profit Maximization.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

Intelligent Reflecting Surface Assisted Wireless Powered Communication Networks.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference Workshops, 2020

Collaborative Learning Model for Cyberattack Detection Systems in IoT Industry 4.0.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

Defeating Smart and Reactive Jammers with Unlimited Power.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

Defeating Jamming Attacks with Ambient Backscatter Communications.
Proceedings of the International Conference on Computing, Networking and Communications, 2020

Common Agency-Based Economic Model for Energy Contract in Electric Vehicle Networks.
Proceedings of the IEEE Global Communications Conference, 2020

Energy Trading and Time Scheduling for Energy-Efficient Heterogeneous Low-Power IoT Networks.
Proceedings of the IEEE Global Communications Conference, 2020

Deep Reinforcement Learning for Robust Beamforming in IRS-assisted Wireless Communications.
Proceedings of the IEEE Global Communications Conference, 2020

Optimal Beam Association in mmWave Vehicular Networks with Parallel Reinforcement Learning.
Proceedings of the IEEE Global Communications Conference, 2020

Efficient SDN-Based Traffic Monitoring in IoT Networks with Double Deep Q-Network.
Proceedings of the Computational Data and Social Networks - 9th International Conference, 2020

2019
Distributed Deep Learning at the Edge: A Novel Proactive and Cooperative Caching Framework for Mobile Edge Networks.
IEEE Wirel. Commun. Lett., 2019

User Cooperation in Wireless-Powered Backscatter Communication Networks.
IEEE Wirel. Commun. Lett., 2019

Optimal and Low-Complexity Dynamic Spectrum Access for RF-Powered Ambient Backscatter System With Online Reinforcement Learning.
IEEE Trans. Commun., 2019

Introduction to the special section on deep reinforcement learning for future wireless communication networks.
IEEE Trans. Cogn. Commun. Netw., 2019

Exploiting Backscatter-Aided Relay Communications With Hybrid Access Model in Device-to-Device Networks.
IEEE Trans. Cogn. Commun. Netw., 2019

"Jam Me If You Can: " Defeating Jammer With Deep Dueling Neural Network Architecture and Ambient Backscattering Augmented Communications.
IEEE J. Sel. Areas Commun., 2019

Optimal and Fast Real-Time Resource Slicing With Deep Dueling Neural Networks.
IEEE J. Sel. Areas Commun., 2019

Towards Smart Radio Environment for Wireless Communications via Intelligent Reflecting Surfaces: A Comprehensive Survey.
CoRR, 2019

Optimal Task Offloading and Resource Allocation for Fog Computing.
CoRR, 2019

Optimal and Fast Real-time Resources Slicing with Deep Dueling Neural Networks.
CoRR, 2019

Applications of Deep Reinforcement Learning in Communications and Networking: A Survey.
IEEE Commun. Surv. Tutorials, 2019

A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks.
IEEE Access, 2019

Proof-of-Stake Consensus Mechanisms for Future Blockchain Networks: Fundamentals, Applications and Opportunities.
IEEE Access, 2019

Airborne Object Detection Using Hyperspectral Imaging: Deep Learning Review.
Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019

Learning Latent Distribution for Distinguishing Network Traffic in Intrusion Detection System.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Energy Management and Time Scheduling for Heterogeneous IoT Wireless-Powered Backscatter Networks.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Real-Time Network Slicing with Uncertain Demand: A Deep Learning Approach.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Backscatter-Assisted Hybrid Relaying Strategy for Wireless Powered IoT Communications.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

QoS-Aware Fog Computing Resource Allocation Using Feasibility-Finding Benders Decomposition.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Energy Demand Prediction with Federated Learning for Electric Vehicle Networks.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

JOCAR: A Jointly Optimal Caching and Routing Framework for Cooperative Edge Caching Networks.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Defend Jamming Attacks: How to Make Enemies Become Friends.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

An Efficient Algorithm for the k-Dominating Set Problem on Very Large-Scale Networks (Extended Abstract).
Proceedings of the Computational Data and Social Networks - 8th International Conference, 2019

2018
Optimal Time Scheduling for Wireless-Powered Backscatter Communication Networks.
IEEE Wirel. Commun. Lett., 2018

A Dynamic Edge Caching Framework for Mobile 5G Networks.
IEEE Wirel. Commun., 2018

Stackelberg Game for Distributed Time Scheduling in RF-Powered Backscatter Cognitive Radio Networks.
IEEE Trans. Wirel. Commun., 2018

A Survey on Consensus Mechanisms and Mining Management in Blockchain Networks.
CoRR, 2018

Ambient Backscatter Communications: A Contemporary Survey.
IEEE Commun. Surv. Tutorials, 2018

Cyberattack detection in mobile cloud computing: A deep learning approach.
Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018

A stochastic programming approach for risk management in mobile cloud computing.
Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018

Optimal Cross Slice Orchestration for 5G Mobile Services.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

Performance Analysis and Application of Mobile Blockchain.
Proceedings of the 2018 International Conference on Computing, 2018

Real-Time Crowdsourcing Incentive for Radio Environment Maps: A Dynamic Pricing Approach.
Proceedings of the IEEE Global Communications Conference, 2018

Offloading Energy Efficiency with Delay Constraint for Cooperative Mobile Edge Computing Networks.
Proceedings of the IEEE Global Communications Conference, 2018

Reinforcement Learning Approach for RF-Powered Cognitive Radio Network with Ambient Backscatter.
Proceedings of the IEEE Global Communications Conference, 2018

2017
Optimal Data Scheduling and Admission Control for Backscatter Sensor Networks.
IEEE Trans. Commun., 2017

Ambient Backscatter: A New Approach to Improve Network Performance for RF-Powered Cognitive Radio Networks.
IEEE Trans. Commun., 2017

Cyber Insurance for Plug-In Electric Vehicle Charging in Vehicle-to-Grid Systems.
IEEE Netw., 2017

Applications of Economic and Pricing Models for Wireless Network Security: A Survey.
IEEE Commun. Surv. Tutorials, 2017

Charging and Discharging of Plug-In Electric Vehicles (PEVs) in Vehicle-to-Grid (V2G) Systems: A Cyber Insurance-Based Model.
IEEE Access, 2017

Optimal Cost-Based Cyber Insurance Policy Management for Mobile Services.
Proceedings of the 86th IEEE Vehicular Technology Conference, 2017

Overlay RF-powered backscatter cognitive radio networks: A game theoretic approach.
Proceedings of the IEEE International Conference on Communications, 2017

Optimal time sharing in RF-powered backscatter cognitive radio networks.
Proceedings of the IEEE International Conference on Communications, 2017

A Joint Scheduling and Content Caching Scheme for Energy Harvesting Access Points with Multicast.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016
Performance optimization for cognitive radio networks with RF energy harvesting capability
PhD thesis, 2016

Smart data pricing models for the internet of things: a bundling strategy approach.
IEEE Netw., 2016

Data Collection and Wireless Communication in Internet of Things (IoT) Using Economic Analysis and Pricing Models: A Survey.
IEEE Commun. Surv. Tutorials, 2016

Information service pricing competition in Internet-of-Vehicle (IoV).
Proceedings of the 2016 International Conference on Computing, 2016

The Tradeoff Analysis in RF-Powered Backscatter Cognitive Radio Networks.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

Cognitive Radio Networks with Wireless Energy Harvesting.
Proceedings of the Wireless-Powered Communication Networks: Architectures, 2016

Backscattering Wireless-Powered Communications.
Proceedings of the Wireless-Powered Communication Networks: Architectures, 2016

2015
Performance Optimization for Cooperative Multiuser Cognitive Radio Networks with RF Energy Harvesting Capability.
IEEE Trans. Wirel. Commun., 2015

Performance Analysis of Wireless Energy Harvesting Cognitive Radio Networks Under Smart Jamming Attacks.
IEEE Trans. Cogn. Commun. Netw., 2015

Smart Data Pricing Models for Internet-of-Things (IoT): A Bundling Strategy Approach.
CoRR, 2015

Applications of Repeated Games in Wireless Networks: A Survey.
CoRR, 2015

Applications of Repeated Games in Wireless Networks: A Survey.
IEEE Commun. Surv. Tutorials, 2015

Markov Decision Processes With Applications in Wireless Sensor Networks: A Survey.
IEEE Commun. Surv. Tutorials, 2015

Optimal energy allocation policy for wireless networks in the sky.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

2014
Opportunistic Channel Access and RF Energy Harvesting in Cognitive Radio Networks.
IEEE J. Sel. Areas Commun., 2014

Cooperative bidding of data transmission and wireless energy transfer.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2014

Optimal decentralized control policy for wireless communication systems with wireless energy transfer capability.
Proceedings of the IEEE International Conference on Communications, 2014

Simulation-based optimization for admission control of mobile cloudlets.
Proceedings of the IEEE International Conference on Communications, 2014

2013
A survey of mobile cloud computing: architecture, applications, and approaches.
Wirel. Commun. Mob. Comput., 2013

QoS-Aware and Energy-Efficient Resource Management in OFDMA Femtocells.
IEEE Trans. Wirel. Commun., 2013

2012
Optimal admission control policy for mobile cloud computing hotspot with cloudlet.
Proceedings of the 2012 IEEE Wireless Communications and Networking Conference, 2012

Performance analysis of cognitive machine-to-machine communications.
Proceedings of the IEEE International Conference on Communication Systems, 2012

Joint load balancing and admission control in OFDMA-based femtocell networks.
Proceedings of IEEE International Conference on Communications, 2012

2010
IMS IPTV: An Experimental Approach.
Proceedings of the Testbeds and Research Infrastructures. Development of Networks and Communities, 2010


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