Mikio Hasegawa
Tokyo University of Science
175 Papers
869 Citations
Mikio Hasegawa is an academic researcher from Tokyo University of Science. The author has contributed to research in topics: Computer science & Wireless network. The author has an hindex of 22, co-authored 151 publications. Previous affiliations of Mikio Hasegawa include University of Tokyo & National Institute of Information and Communications Technology.
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Papers
Optimization for Centralized and Decentralized Cognitive Radio Networks
Mikio Hasegawa,Hiroshi Hirai,Kiyohito Nagano,Hiroshi Harada,Kazuyuki Aihara +4 more
- 14 Mar 2014
TL;DR: This paper proposes a novel optimization algorithm whose solution is guaranteed to be exactly optimal for networks with centralized management and networks with decentralized management, using the distributed energy minimization dynamics of the Hopfield-Tank neural network.
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Energy Consumption Measurement of Wireless Interfaces in Multi-Service user Terminals for Heterogeneous Wireless Networks
TL;DR: This paper investigates the power consumption pattern or behavior of some selected wireless interfaces that are good candidates for being part of the future of the multi-service user terminals and proposes a simple model for predicting energy consumption in a terminal attributed to the wireless network interfaces.
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MIRAI: a solution to seamless access in heterogeneous wireless networks
Masugi Inoue,Khaled Mahmud,H. Murakami,Mikio Hasegawa +3 more
- 11 May 2003
TL;DR: Heterogeneous wireless networks are described and the provision of a set of signaling functions: radio-access-network discovery and selection, heterogeneous paging, and vertical handoff make it possible to offer seamless services between different wireless systems.
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Scalable photonic reinforcement learning by time-division multiplexing of laser chaos.
Makoto Naruse,Takatomo Mihana,Hirokazu Hori,Hayato Saigo,Kazuya Okamura,Mikio Hasegawa,Atsushi Uchida +6 more
TL;DR: In this paper, a scalable, pipelined principle of resolving the multi-armed bandit problem by introducing time-division multiplexing of chaotically oscillated ultrafast time series was demonstrated.
Optimization for Centralized and Decentralized Cognitive Radio Networks The paper focuses on optimization algorithms for decision making on radio resources in heterogeneous cognitive wireless networks, with base stations or being self-organized.
Mikio Hasegawa,Hiroshi Hirai,Kiyohito Nagano,Hiroshi Harada,Kazuyuki Aihara +4 more
- 01 Jan 2014
TL;DR: In this paper, the authors proposed a decision-making algorithm to optimize radio resource usage in heterogeneous cognitive wireless networks, where the target optimization problem is modeled as a minimum cost-flow problem and solved in polynomial time.
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