Optimizing Heterogeneous Cognitive Radio Networks by Rigorous Algorithms and Neural Networks

Hasegawa, Mikio (2015) Optimizing Heterogeneous Cognitive Radio Networks by Rigorous Algorithms and Neural Networks. In: Brain-inspired Information Communication Technologies.

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Abstract

Cognitive radio technology improves efficiency of radio resource usage and quality of services in congested mobile networks, by reconfiguring the wireless connection settings according to the optimum decisions, which are made based on the collected context information. This paper focuses on the opti

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 10:25
Last Modified: 17 Apr 2026 19:04
URI: http://eprints.eai.eu/id/eprint/12637

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