Abstract
Cognitive networks are wireless network consisting of cognitive radios, primary user, and secondary user. These networks become significant for the prevailing apparent lack of spectrum under the current spectrum management policies. Cognitive user in the network should communicate without having the primary user communication. The main issues in these networks are high interference and low received signal power at the primary receiver side. In this paper, we analyze the cognitive network interference and signal power variation in order to provide an optimal solution to reduce the interference caused due to cognitive radios. This paper exposes our interference reduction techniques which employ fuzzy inference system, to solve the issue. The proposed system reduces the complexity in existing interference reduction techniques. The results rendered by our system helps in ease of spectrum allocation.
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© 2013 Springer India
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Lavanya, G., Pandeeswari, S., Shanmugapriya, R.K., Umamaheswari, A. (2013). Fuzzy Based Interference Reduction in Cognitive Networks. In: Kumar M., A., R., S., Kumar, T. (eds) Proceedings of International Conference on Advances in Computing. Advances in Intelligent Systems and Computing, vol 174. Springer, New Delhi. https://doi.org/10.1007/978-81-322-0740-5_129
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DOI: https://doi.org/10.1007/978-81-322-0740-5_129
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-0739-9
Online ISBN: 978-81-322-0740-5
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