Presentation 2011-03-02
Cognitive Radio Networks and Applications of Complex Network Theories
Mikio Hasegawa,
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Abstract(in English) Cognitive radio technologies have been developed as one of the key technologies to realize efficient radio resource usage. For realization of the optimum radio resource usage, various kinds of information related to radio resources have to be exchanged between the networks and the terminals, and the optimum state of the radio configuration has to be solved by optimization algorithms. In this paper, for optimal radio resource usage, an optimal RAN selection algorithm for heterogeneous wireless network environment and a machine learning algorithm to improve throughput of aggregated wireless links are introduced. Effectiveness of those algorithms is shown not only by computer simulation but also by real experiments on implemented cognitive radio systems. Furthermore, in order to optimize growing cognitive radio networks, complex system theories are introduced. First, the chaotic dynamical theory is used to improve the optimization algorithm of RAN selection. Second, the chaos control theory is applied to stabilize unstable cognitive radio networks that do not converge. Fusion of those theories and applications will be very important for future cognitive radio network research.
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Keyword(in English) Cognitive Radio / Heterogeneous Wireless Networks / Combinatorial Optimization Problems / Complex Systems / Chaos
Paper # SR2010-92
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Conference Date 2011/2/23(1days)
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Title (in English) Cognitive Radio Networks and Applications of Complex Network Theories
Sub Title (in English)
Keyword(1) Cognitive Radio
Keyword(2) Heterogeneous Wireless Networks
Keyword(3) Combinatorial Optimization Problems
Keyword(4) Complex Systems
Keyword(5) Chaos
1st Author's Name Mikio Hasegawa
1st Author's Affiliation Department of Electrical Engineering, Faculty of Engineering, Tokyo University of Science()
Date 2011-03-02
Paper # SR2010-92
Volume (vol) vol.110
Number (no) 435
Page pp.pp.-
#Pages 6
Date of Issue