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International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering
International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering A monthly Peer-reviewed & Refereed journal
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← Back to VOLUME 4, ISSUE 9, SEPTEMBER 2016

Learning Schemes using Neural Networks for Cognitive Radio: A survey

Rita Mahajan, Deepak Bagai

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Abstract: The future of wireless system is facing the problem of spectrum scarcity. Number of users is increasing rapidly but available spectrum is limited. The Cognitive Radio (CR) technology enables the unlicensed users to share the spectrum with the licensed users on a dynamic basis without creating any interference to primary user. Three fundamental tasks are performed by cognitive radio i. e. sensing, learning and reasoning in cognitive radio network. The importance of learning techniques to be implemented in cognitive radio has been discussed. Previous work based on learning schemes using artificial neural networks has been described in this paper, which motivates and guides to do research. Here we confer the use of neural networks in research for various types of learning schemes in cognitive radio technology.

Keywords: Cognitive Radio, Wireless Communication, Neural Networks, Learning Schemes.

How to Cite:

[1] Rita Mahajan, Deepak Bagai, β€œLearning Schemes using Neural Networks for Cognitive Radio: A survey,” International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI: 10.17148/IJIREEICE.2016.4932

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.