Blockchain and extreme learning machine based spectrum management in cognitive radio networks
Author:
Affiliation:
1. Department of Computer Science and Engineering SRM Institute of Science and Technology Kattankulathur India
Publisher
Wiley
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ett.4174
Reference26 articles.
1. Learning‐Based Spectrum Sensing for Cognitive Radio Systems;Hassan Yasmin;Journal of Computer Networks and Communications,2012
2. Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks
3. CabricD TkachenkoA BrodersenRW.Spectrum sensing measurements of pilot energy and collaborative detection. Paper presented at: Proceedings of the Military Communications Conference (MILCOM '06); October 2006:1‐7.
4. DerakhshaniM Nasiri‐KenariM Le‐NgocT.Cooperative cyclostationary spectrum sensing in cognitive radios at low SNR regimes. Paper presented at: Proceedings of the IEEE International Conference on Communications (ICC '10); May 2010:604‐608.
5. KhambekarN SpoonerC ChaudharyV.Listen‐whiletalking: a technique for primary user protection. Paper presented at: Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC '09); April 2009:1‐5.
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