Toan-Van Nguyen
Hongik University, Vietnam National University Ho Chi Minh City
Papers
3
Total Citations
72
H-Index
3
About
Toan-Van Nguyen is a researcher specializing in wireless communications, Internet of Things (IoT) networks, and ultra-reliable low-latency communications (URLLC), with a particular focus on the intersection of energy harvesting technologies and short-packet communications. His work addresses critical challenges in next-generation wireless systems, especially within the context of industrial automation and smart factory environments. Nguyen's most significant contribution examines short-packet communications in wireless-powered cognitive IoT networks, a 2021 study that has garnered 66 citations and demonstrated how deep learning can be leveraged to optimize performance in energy-constrained relay systems. Building on this foundation, he has extended his research to full-duplex IoT architectures, investigating residual self-interference models and their impact on communication reliability — work that reflects a sophisticated understanding of real-world hardware impairments. A distinctive hallmark of Nguyen's research is his integration of deep learning evaluation frameworks alongside traditional mathematical performance analysis, bridging theoretical modeling with data-driven approaches. His sustained focus on Nakagami-m fading channels and wireless energy transfer protocols underscores his commitment to practical, deployable solutions for factory automation scenarios, making his work highly relevant to researchers and engineers advancing Industry 4.0 communications infrastructure.
Research Focus
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Top Papers
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