Spectrum Enhancement Technique for Cognitive Radio in Secure Communication

Authors: Pankaj K. Srivastava, T.R. Sontakke

Country: India

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Abstract: Cognitive radio (CR) is a promising technology that enables unlicensed users to access licensed spectrum bands when they are not being used by the primary users. However, CR systems are susceptible to interference from other CR users, as well as from primary users. Spectrum enhancement techniques can be used to improve the quality of the spectrum used by CR systems, making them more robust to interference. This paper proposes a new spectrum enhancement technique for cognitive radio in secure communication. The proposed technique is based on deep learning, and it is able to learn the characteristics of the noise and interference in the spectrum. The technique then uses this knowledge to filter out the noise and interference, leaving behind a clean signal. The proposed technique was evaluated using a variety of simulations and real-world experiments. The results showed that the proposed technique is able to significantly improve the quality of the spectrum used by CR systems. Additionally, the proposed technique was shown to be effective in mitigating interference from other CR users and primary users.

Keywords: Cognitive Radio, Spectrum Enhancement, Deep Learning, Secure Communication

Paper Id: 1683

Published On: 2013-09-25

Published In: Volume 1, Issue 1, September-October 2013

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