Cognitive radio networks (CRN) are smart communicating networks, where the spectrum is shifted to different white holes, without disturbing the communication. Opportunistic Spectrum or Dynamic Spectrum Access has been applied for spectrum rarity thereby increasing energy efficiency and throughput. The basic concept in the proposed work is Route selection and channel selection among the available channels. In our work we propose a novel optimal channel selection algorithm, Enhanced Channel Selection Algorithm (ECSA), by considering interweave approach of Cognitive users among the Primary users. By using Matched filter detection method, all free channels are identified and Kalman filter has been applied to identify the optimal channel among the identified ones. Numerical results of the work have been plotted by implementing the proposed work and compared with state of the art algorithms using NS2.
Digital Object Identifier (DOI)
Selvakanmani, S. and Sumathi, M.
"A Novel Channel Selection Algorithm in Cognitive Radio Networks,"
Applied Mathematics & Information Sciences: Vol. 11:
5, Article 29.
Available at: https://digitalcommons.aaru.edu.jo/amis/vol11/iss5/29