About Hasegawa Laboratory, Tokyo University of Science

The widespread of wireless networks and smart wireless devices has realized a ubiquitous communication environment connecting to networks anywhere. With the emergence of applications based on communication, the demand for enhanced network quality and speed is increasing. To meet these demands and achieve further advancements in network quality and capacity, it is crucial to efficiently utilize wireless and network resources. In this laboratory, cutting-edge artificial intelligence algorithms, quantum algorithms, and other technologies are applied to aim for the realization of high-efficiency Beyond 5G/6G and IoT. Collaboration with other universities and research institutions is actively pursued, covering a wide range of research themes from fundamentals to applications.

Video, Labo Scope Hasegawa Lab Introduction (YouTube)

Recent Research Themes

1. Optimization in Beyond 5G / 6G, and research on the application of artificial intelligence.
   • Optimization in Cognitive Radio (Proceedings of The IEEE, 2014).
   • Wireless communication system optimization using machine learning (Math. Bio. Eng., 2022).
2. Application of reinforcement learning / photonic computing to wireless communication systems.
   • Channel selection using laser chaos decision-maker (Scientific Reports, 2020).
   • Effectiveness of laser chaos decision-maker (Complexity, 2022).
   • NOMA application of laser chaos decision-maker (Electronics, 2022).
3. Ultra-fast optimization of wireless communication systems using Ising machines / quantum annealing.
   • Channel allocation applications (IEEE Wireless Communications Letters).
   • NOMA applications (IEEE Trans. VT, 2023).
4. Research on protocols and communication methods for large-scale IoT.
   • High-density communication using pulse codes (IEEE Trans. Green Comm. Net., 2021).
   • Video presentation on Massive IoT, JST (YouTube).
5. Optimization in large-scale IoT, and research on the application of artificial intelligence.
   • Autonomous decentralized optimization of IoT using MAB (Applied Sciences, 2019).
   • Decentralized optimization of mobile networks (IEEE Access, 2023).
6.  Research on wireless communication systems for cybernetic avatars/robots.
   • Moonshot

Journal Paper List

International Conference Paper List

Research Achievements