Nguyen Van Huynh received his B.E. degree in Electronics and Telecommunications Engineering from Hanoi University of Science and Technology (HUST), Vietnam in 2016. From 2017 to 2018 he worked as a research assistant at Nanyang Technological University (NTU), Singapore. He is currently a PhD student at University of Technology Sydney (UTS), Australia. His research interests include wireless powered communications, green communications, and optimisation problems for wireless communication networks.
- Student Member, IEEE.
- Student Member, IEEE Communications Society
2. TPC Member
- IEEE Vehicular Technology Conference (VTC) 2019-Spring, Kuala Lumpur, Malaysia.
- IEEE Vehicular Technology Conference (VTC) 2018-Fall, Chicago, US.
- IEEE Journal on Selected Areas in Communications (JSAC)
- IEEE Transactions on Wireless Communications (TWC)
- IEEE Transactions on Communications (TCOM)
- IEEE Transactions on Cognitive Communications and Networking (TCCN)
- IEEE Transaction on Mobile Computing (TMC)
- IEEE System Journal (ISJ)
- IEEE Transactions on Vehicular Technology (TVT)
- IEEE Wireless Communications Letters
- IEEE GLOBECOM , UAE, 2018.
- International Conference on Computing, Networking and Communications (ICNC), Hawaii, US, 2018.
- Deep Reinforcement Learning, Wireless Energy Harvesting, Internet of Things.
- 5G Networks, Performance Analysis, Cybersecurity.
- Optimization problems, Markov decision process.
- Network virtualization, Network function virtualization.
- Energy-Efficient networking, Quality of Service.
- The Future Internet, SDN, NFV.
- IoT Security
Nguyen, CT, Saputra, YM, Huynh, NV, Nguyen, N-T, Khoa, TV, Tuan, BM, Nguyen, DN, Hoang, DT, Vu, TX, Dutkiewicz, E, Chatzinotas, S & Ottersten, B 2020, 'A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing—Part I: Fundamentals and Enabling Technologies', IEEE Access, vol. 8, pp. 153479-153507.View/Download from: Publisher's site
Social distancing plays a pivotal role in preventing the spread of viral diseases illnesses such as COVID-19. By minimizing the close physical contact among people, we can reduce the chances of catching the virus and spreading it across the community. This two-part paper aims to provide a comprehensive survey on how emerging technologies, e.g., wireless and networking, artificial intelligence (AI) can enable, encourage, and even enforce social distancing practice. In this Part I, we provide a comprehensive background of social distancing including basic concepts, measurements, models, and propose various practical social distancing scenarios. We then discuss enabling wireless technologies which are especially effect- in social distancing, e.g., symptom prediction, detection and monitoring quarantined people, and contact tracing. The companion paper Part II surveys other emerging and related technologies, such as machine learning, computer vision, thermal, ultrasound, etc., and discusses open issues and challenges (e.g., privacy-preserving, scheduling, and incentive mechanisms) in implementing social distancing in practice.
Nguyen, CT, Saputra, YM, Van Huynh, N, Nguyen, N-T, Khoa, TV, Tuan, BM, Nguyen, DN, Hoang, DT, Vu, TX, Dutkiewicz, E, Chatzinotas, S & Ottersten, B 2020, 'A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing—Part II: Emerging Technologies and Open Issues', IEEE Access, vol. 8, pp. 154209-154236.View/Download from: Publisher's site
This two-part paper aims to provide a comprehensive survey on how emerging technologies, e.g., wireless and networking, artificial intelligence (AI) can enable, encourage, and even enforce social distancing practice. In Part I, an extensive background of social distancing is provided, and enabling wireless technologies are thoroughly surveyed. In this Part II, emerging technologies such as machine learning, computer vision, thermal, ultrasound, etc., are introduced. These technologies open many new solutions and directions to deal with problems in social distancing, e.g., symptom prediction, detection and monitoring quarantined people, and contact tracing. Finally, we discuss open issues and challenges (e.g., privacy-preserving, scheduling, and incentive mechanisms) in implementing social distancing in practice. As an example, instead of reacting with ad-hoc responses to COVID-19-like pandemics in the future, smart infrastructures (e.g., next-generation wireless systems like 6G, smart home/building, smart city, intelligent transportation systems) should incorporate a pandemic mode in their standard architectures/designs
Van Huynh, N, Hoang, DT, Lu, X, Niyato, D, Wang, P & Kim, DI 2018, 'Ambient Backscatter Communications: A Contemporary Survey', Communications Surveys and Tutorials, IEEE Communications Society, vol. 20, no. 4, pp. 2889-2922.View/Download from: Publisher's site
IEEE Recently, ambient backscatter communications has been introduced as a cutting-edge technology which enables smart devices to communicate by utilizing ambient radio frequency (RF) signals without requiring active RF transmission. This technology is especially effective in addressing communication and energy efficiency problems for low-power communications systems such as sensor networks. It is expected to realize numerous Internet-of-Things (IoT) applications. Therefore, this paper aims to provide a contemporary and comprehensive literature review on fundamentals, applications, challenges, and research efforts/progress of ambient backscatter communications. In particular, we first present fundamentals of backscatter communications and briefly review bistatic backscatter communications systems. Then, the general architecture, advantages, and solutions to address existing issues and limitations of ambient backscatter communications systems are discussed. Additionally, emerging applications of ambient backscatter communications are highlighted. Finally, we outline some open issues and future research directions.
Van Huynh, N, Hoang, DT, Niyato, D, Wang, P & Kim, DI 2018, 'Optimal Time Scheduling for Wireless-Powered Backscatter Communication Networks', IEEE Wireless Communications Letters, vol. 7, no. 5, pp. 820-823.View/Download from: Publisher's site
© 2012 IEEE. This letter introduces a novel wireless-powered backscatter communication system which allows sensors to utilize RF signals transmitted from a dedicated RF energy source to transmit data. In the proposed system, when the RF energy source transmits RF signals, the sensors are able to backscatter the RF signals to transmit data to the gateway and/or harvest energy from the RF signals for their operations. By integrating backscattering and energy harvesting techniques, we can optimize the network throughput of the system. In particular, we first formulate the time scheduling problem for the system, and then propose an optimal solution using convex optimization to maximize the overall network throughput. Numerical results show a significant throughput gain achieved by our proposed design over two other baseline schemes.
Nam, TM, Thanh, NH, Hieu, HT, Manh, NT, Huynh, NV & Tuan, HD 2017, 'Joint network embedding and server consolidation for energy–efficient dynamic data center virtualization', Computer Networks, vol. 125, pp. 76-89.View/Download from: Publisher's site
© 2017 Elsevier B.V. Cloud computing has emerged in recent years as a promising paradigm that facilitates such new service models as Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS). As the number of cloud service provider increases, there exists a demand to dynamically provision virtual data centers (VDC) on top of the infrastructure provider's physical data centers. This research addresses problems related to energy and resource efficiently embedding virtual data centers inside physical data centers under dynamic resource allocation conditions, in which VDCs continuously join and leave the system. Dynamic VDC embedding is challenging as it is an NP-hard problem that should meet multiple objectives. In this article, we propose heuristic joint VDC embedding – server consolidation approaches as one solution for that problem. Evaluation results show that the joint approach outperforms existing ones in terms of resource and energy efficiency and can keep system complexity acceptable.
Huu, TN, Anh, VV, Duc, LN, Van, HN, Manh, NT, Quynh, TN, Thu-Huong, T, Tai, HN & Magedanz, T 2015, 'A generalized resource allocation framework in support of multi-layer virtual network embedding based on SDN', COMPUTER NETWORKS, vol. 92, pp. 251-269.View/Download from: Publisher's site
Nguyen, N-T, Van Huynh, N, Hoang, DT, Nguyen, DN, Nguyen, N-H, Nguyen, Q-T & Dutkiewicz, E 2019, 'Energy Management and Time Scheduling for Heterogeneous IoT Wireless-Powered Backscatter Networks', ICC 2019 - 2019 IEEE International Conference on Communications (ICC), ICC 2019 - 2019 IEEE International Conference on Communications (ICC), IEEE, Shanghai.View/Download from: Publisher's site
Van Huynh, N, Hoang, DT, Nguyen, DN & Dutkiewicz, E 2019, 'Real-Time Network Slicing with Uncertain Demand: A Deep Learning Approach', ICC 2019 - 2019 IEEE International Conference on Communications (ICC), ICC 2019 - 2019 IEEE International Conference on Communications (ICC), IEEE, Shanghai.View/Download from: Publisher's site
Tran, MN, Nguyen, VH & Nguyen, HT 2016, 'Reducing Middle Nodes Mapping Algorithm for Energy Efficiency in Network Virtualization', ADVANCES IN INFORMATION AND COMMUNICATION TECHNOLOGY, International Conference on Advances in Information and Communication Technology, SPRINGER INT PUBLISHING AG, Thai Nguyen, VIETNAM, pp. 500-509.View/Download from: Publisher's site
For the future of the Internet, Network Virtualization and Software-Defined Networking (SDN) are recognized as key technologies. They reshape computing and network architectures, provide a number of advantages including centralized management, scalability and resource optimization. Along with the Internet's development, the networking devices such as routers and switches are notable part of the large energy consumption of ITC. The design of high performance and energy-efficient network by using virtualization and SDN becomes an importance issue. In this paper we heuristic present energy-efficient algorithms for virtual network embedding. The experimental results show the remarkable energy-saving level of their approaches while maintaining the acceptance ratio.
Usman, M, Risdianto, AC, Han, J, Kim, J & Van Huynh, N 2017, 'Physical-virtual topological visualization of OF@TEIN SDN-enabled multi-site cloud', International Conference on Information Networking, International Conference on Information Networking, IEEE, Da Nang, Vietnam, pp. 622-624.View/Download from: Publisher's site
© 2017 IEEE. Infrastructure visualization based on monitored resource status is essential for the effective operation of modern SDN (Software-Defined Networking)-enabled cloud. More specifically, collecting and visualizing visibility information about both physical & virtual (p+v) types of resources is one of key requirement for multi-site cloud operators. However, most existing visualization tools fall short in effectively providing the p+v topological visualization of multi-site cloud infrastructure. Thus, in this paper, by taking an example of OF@TEIN (OpenFlow @ Trans-Eurasian Information Network) multi-site experimental cloud, we attempt to realize visualization software to assist both developers and operators in capturing the p+v topological visualization of infrastructure resources.
Tran, MN, Nguyen, VH, Le, QD & Nguyen, HT 2016, 'An Energy-Aware Embedding Algorithm for Virtual Data Centers', 2016 28TH INTERNATIONAL TELETRAFFIC CONGRESS (ITC 28), VOL 1, 28th International Teletraffic Congress (ITC), IEEE, Univ Wurzburg, Wurzburg, GERMANY, pp. 18-25.