Chaotic Theory on Complex Low-Cross Correlation Dynamics and Its Application to Optimization of Cognitive Radio

2016 Fiscal Year Final Research Report

• Project/Area Number: 26330117
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Information network
• Research Institution: Tokyo University of Science
• Principal Investigator: Hasegawa Mikio 東京理科大学, 工学部電気工学科, 教授 (50358967)
• Project Period (FY): 2014-04-01 – 2017-03-31
• Keywords: 無線通信 / 情報ネットワーク / カオス / 最適化 / 複雑系 / Multi-Armed Bandit / 機械学習

Outline of Final Research Achievements

Mobile traffic of wireless communication systems is rapidly increasing and efficient use of radio resource is becoming very important. Cognitive radio is technique to adaptively optimize radio resource usage by dynamic selection of the spectrum. In this research, for optimization of resource selection in the cognitive radio, I have applied complex dynamics of chaotic systems to maximize the performance.
I have formulated the optimal selection problems in cognitive radio as multi-armed bandit problems and combinatorial optimization problems, and have proposed several chaotic algorithms to optimize them. For throughput optimization of wireless LAN, I have shown effectiveness of the proposed method by experiments using the real implemented systems, and have applied a patent. Furthermore, I have clarified the theory of low-cross correlation theory based on chaotic dynamics and published a Japanese book entitled Network Chaos.

Free Research Field

無線通信, カオス, ニューラルネットワーク, 情報ネットワーク