Deep Learning Techniques for Cooperative Spectrum Sensing Under Generalized Fading Channels-Reference-Cited by-同舟云学术

Deep Learning Techniques for Cooperative Spectrum Sensing Under Generalized Fading Channels

Published:2022-03-24 Issue: Volume: Page:
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Container-title:2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)
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Author:

Muthukumar Pradeep Balaji¹,B. Samudhyatha²,Gurugopinath Sanjeev³

Affiliation:

1. SSN College of Engineering,Department of Electronics and Communication Engineering,Chennai,India

2. Intel India Pvt. Ltd.,Bengaluru,India

3. PES University,Department of Electronics and Communication Engineering,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9767097/9767098/09767160.pdf?arnumber=9767160

Reference16 articles.

1. Maximum eigenvalue-based spectrum sensing over $\alpha-\kappa-\mu$ and $\alpha-\eta-\mu$ fading channels;samudhyatha;Proc of 2017 IEEE 28th Annual Int Symposium on Personal Indoor and Mobile Radio Communications (PIMRC),2017

2. Performance of maximum eigenvalue spectrum sensing over $\alpha-\mu, \kappa-\mu$ and $\eta-\mu$ fading channels;da silva;Proc of XXXIII Simposio Brasileiro de Telecommuicacoes (SBrT),2015

3. Machine Learning Techniques for Cooperative Spectrum Sensing in Cognitive Radio Networks

4. A Spectrum Sensing Method Based on Signal Feature and Clustering Algorithm in Cognitive Wireless Multimedia Sensor Networks

5. Spectrum sensing for cognitive radio based on convolution neural network

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