Nguyen Van Huynh

Orcid: 0000-0002-7696-0521

According to our database¹, Nguyen Van Huynh authored at least 49 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

Countering Eavesdroppers With Meta- Learning-Based Cooperative Ambient Backscatter Communications.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., October, 2024

Generative AI for Physical Layer Communications: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Commun. Netw., June, 2024

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

[BibT_eX]

[DOI]

IEEE Open J. Commun. Soc., 2024

Deep Reinforcement Learning for Network Energy Saving in 6G and Beyond Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Multi-Agent Deep Reinforcement Learning for Resilience Optimization in 5G RAN.

[BibT_eX]

[DOI]

Soumeya Kaada

Dinh-Hieu Tran

Nguyen Van Huynh

Marie-Line Alberi-Morel

Sofiene Jelassi

Gerardo Rubino

CoRR, 2024

Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey.

[BibT_eX]

[DOI]

Thai-Hoc Vu

Senthil Kumar Jagatheesaperumal

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

A Universal Deep Neural Network for Signal Detection in Wireless Communication Systems.

[BibT_eX]

[DOI]

Khalid Albagami

Nguyen Van Huynh

Geoffrey Ye Li

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Enabling Technologies for Web 3.0: A Comprehensive Survey.

[BibT_eX]

[DOI]

Md Arif Hassan

Mohammad Behdad Jamshidi

Mohammad Abu Alsheikh

Eryk Dutkiewicz

CoRR, 2024

2023

Distributed-Training-and-Execution Multi-Agent Reinforcement Learning for Power Control in HetNet.

[BibT_eX]

[DOI]

Kaidi Xu

Nguyen Van Huynh

Geoffrey Ye Li

IEEE Trans. Commun., October, 2023

Joint Speed Control and Energy Replenishment Optimization for UAV-Assisted IoT Data Collection With Deep Reinforcement Transfer Learning.

[BibT_eX]

[DOI]

IEEE Internet Things J., April, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Defeating Eavesdroppers with Ambient Backscatter Communications.

[BibT_eX]

[DOI]

Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Deep Deterministic Policy Gradient for End-to-End Communication Systems without Prior Channel Knowledge.

[BibT_eX]

[DOI]

Bolun Zhang

Nguyen Van Huynh

Proceedings of the IEEE Global Communications Conference, 2023

2022

Transfer Learning for Signal Detection in Wireless Networks.

[BibT_eX]

[DOI]

Nguyen Van Huynh

Geoffrey Ye Li

IEEE Wirel. Commun. Lett., 2022

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

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2022

Transfer Learning for Wireless Networks: A Comprehensive Survey.

[BibT_eX]

[DOI]

Proc. IEEE, 2022

Joint Coding and Scheduling Optimization for Distributed Learning Over Wireless Edge Networks.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2022

A Novel Covert Communication Method using Ambient Backscatter Communications.

[BibT_eX]

[DOI]

CoRR, 2022

2021

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

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2021

DeepFake: Deep Dueling-Based Deception Strategy to Defeat Reactive Jammers.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2021

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

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2021

Transfer Learning for Future Wireless Networks: A Comprehensive Survey.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

Defeating Reactive Jammers with Deep Dueling-based Deception Mechanism.

[BibT_eX]

[DOI]

Proceedings of the ICC 2021, 2021

Dynamic Optimal Coding and Scheduling for Distributed Learning over Wireless Edge Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2021

2020

Ambient Backscatter: A Novel Method to Defend Jamming Attacks for Wireless Networks.

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., 2020

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

[BibT_eX]

[DOI]

IEEE Access, 2020

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

[BibT_eX]

[DOI]

IEEE Access, 2020

Defeating Smart and Reactive Jammers with Unlimited Power.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

Defeating Jamming Attacks with Ambient Backscatter Communications.

[BibT_eX]

[DOI]

Srikathyayani Srikanteswara

Proceedings of the International Conference on Computing, Networking and Communications, 2020

Energy Trading and Time Scheduling for Energy-Efficient Heterogeneous Low-Power IoT Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2020

Optimal Beam Association in mmWave Vehicular Networks with Parallel Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2020

2019

Optimal and Low-Complexity Dynamic Spectrum Access for RF-Powered Ambient Backscatter System With Online Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2019

"Jam Me If You Can: " Defeating Jammer With Deep Dueling Neural Network Architecture and Ambient Backscattering Augmented Communications.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2019

Optimal and Fast Real-Time Resource Slicing With Deep Dueling Neural Networks.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Energy Management and Time Scheduling for Heterogeneous IoT Wireless-Powered Backscatter Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Real-Time Network Slicing with Uncertain Demand: A Deep Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018

Optimal Time Scheduling for Wireless-Powered Backscatter Communication Networks.

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., 2018

Ambient Backscatter Communications: A Contemporary Survey.

[BibT_eX]

[DOI]

IEEE Commun. Surv. Tutorials, 2018

Offloading Energy Efficiency with Delay Constraint for Cooperative Mobile Edge Computing Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2018

Reinforcement Learning Approach for RF-Powered Cognitive Radio Network with Ambient Backscatter.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2018

2017

Joint network embedding and server consolidation for energy-efficient dynamic data center virtualization.

[BibT_eX]

[DOI]

Comput. Networks, 2017

Physical-virtual topological visualization of OF@TEIN SDN-enabled multi-site cloud.

[BibT_eX]

[DOI]

Muhammad Usman

Aris Cahyadi Risdianto

Jung-Su Han

JongWon Kim

Nguyen Van Huynh

Proceedings of the 2017 International Conference on Information Networking, 2017

2016

An Energy-Aware Embedding Algorithm for Virtual Data Centers.

[BibT_eX]

[DOI]

Proceedings of the 28th International Teletraffic Congress, 2016

2015

A generalized resource allocation framework in support of multi-layer virtual network embedding based on SDN.

[BibT_eX]

[DOI]

Comput. Networks, 2015

Nguyen Van Huynh

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