Education
- Ph.D. in Telecommunications - Institut National de la Recherche Scientifique (INRS), Canada (2023)
- M.Sc. in Communications and Computer Networks - Japan Advanced Institute of Science and Technology (JAIST), Japan (2018)
- B.Sc. in Electronics and Communications Engineering - Posts and Telecommunications Institute of Technology (PTIT), Vietnam (2016)
Research Interests
- Open RAN, 5G/6G wireless networks
- Radio resource management
- UAV, satellite communications
- Mobile edge computing
Minh Dat Nguyen is a Postdoctoral Research Fellow at the Institute for the Wireless Internet of Things, Northeastern University, Boston, since October 2025. He received the B.Eng. degree in Electronics and Communications Engineering from the Posts and Telecommunications Institute of Technology (PTIT), Hanoi, Vietnam, in 2016; the M.Eng. degree in Communications and Computer Networks from the Japan Advanced Institute of Science and Technology (JAIST), Japan, in 2018; and the Ph.D. degree in Telecommunications from the Institut National de la Recherche Scientifique – Energy, Materials, and Telecommunications Center (INRS-EMT), Montreal, Quebec, Canada, in 2023. From 2023 to 2025, he was a Postdoctoral Research Fellow in the Department of Computer Science at the University of Quebec at Montreal (UQAM), Canada. His current research interests include UAV and satellite communications, radio resource management, 5G New Radio, and artificial intelligence and Open Radio Access Networks (ORAN) for next-generation wireless communication systems.
Publications
The development of 6G wireless technologies is rapidly advancing, with the 3rd Generation Partnership Project (3GPP) entering the pre-standardization phase and aiming to deliver the first specifications by 2028. This paper explores the OpenAirInterface (OAI) project, an open-source initiative that plays a crucial role in the evolution of 5G and the future 6G networks. OAI provides a comprehensive implementation of 3GPP and O-RAN compliant networks, including Radio Access Network (RAN), Core Network (CN), and software-defined User Equipment (UE) components. The paper details the history and evolution of OAI, its licensing model, and the various projects under its umbrella, such as RAN, the CN, as well as the Operations, Administration and Maintenance (OAM) projects. It also highlights the development methodology, Continuous Integration/Continuous Delivery (CI/CD) processes, and end-to-end systems powered by OAI. Furthermore, the paper discusses the potential of OAI for 6G research, focusing on spectrum, reflective intelligent surfaces, and Artificial Intelligence (AI)/Machine Learning (ML) integration. The open-source approach of OAI is emphasized as essential for tackling the challenges of 6G, fostering community collaboration, and driving innovation in next-generation wireless technologies.
LinkJamming attacks have plagued wireless communication systems and will continue to do so going forward with technological advances. These attacks fall under the category of Electronic Warfare (EW), a continuously growing area in both attack and defense of the electromagnetic spectrum, with one subcategory being electronic attacks (EA). Jamming attacks fall under this specific subcategory of EW as they comprise adversarial signals that attempt to disrupt, deny, degrade, destroy, or deceive legitimate signals in the electromagnetic spectrum. While jamming is not going away, recent research advances have started to get the upper hand against these attacks by leveraging new methods and techniques, such as machine learning. However, testing such jamming solutions on a wide and realistic scale is a daunting task due to strict regulations on spectrum emissions. In this paper, we introduce eSWORD (emulation (of) Signal Warfare On Radio-frequency Devices), the first large-scale framework that allows users to safely conduct real-time and controlled jamming experiments with hardware-in-the-loop. This is done by integrating METEOR, an electronic warfare (EW) threat-emulating software developed by the MITRE Corporation, into the Colosseum wireless network emulator that enables large-scale experiments with up to 49 software-defined radio nodes. We compare the performance of eSWORD with that of real-world jamming systems by using an over-the-air wireless testbed (considering safe measures when conducting experiments). Our experimental results demonstrate that eSWORD achieves up to 98% accuracy in following throughput, signal-to-interference-plus-noise ratio, and link status patterns when compared to real-world jamming experiments, testifying to the high accuracy of the emulated eSWORD setup.
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