Co-variance Based Adaptive Threshold Spectrum Detection Optimized with Chameleon Swarm Optimization for Optimum Threshold Selection in Cognitive Radio Networks-Reference-Cited by-同舟云学术

Co-variance Based Adaptive Threshold Spectrum Detection Optimized with Chameleon Swarm Optimization for Optimum Threshold Selection in Cognitive Radio Networks

Published:2023-07-27 Issue:2 Volume:132 Page:1025-1047
ISSN:0929-6212
Container-title:Wireless Personal Communications
language:en
Short-container-title:Wireless Pers Commun

Author:

Charan Chhagan^ORCID,Pandey Rajoo

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://link.springer.com/content/pdf/10.1007/s11277-023-10647-2.pdf

Reference29 articles.

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2. Ainomäe, A., Bengtsson, M., & Trump, T. (2017). Distributed largest eigenvalue-based spectrum sensing using diffusion LMS. IEEE Transactions on Signal and Information Processing over Networks, 4(2), 362–377.

3. Obite, F., Usman, A. D., & Okafor, E. (2021). An overview of deep reinforcement learning for spectrum sensing in cognitive radio networks. Digital Signal Processing, 113, 103014.

4. Eappen, G., & Shankar, T. (2020). A survey on soft computing techniques for spectrum sensing in a cognitive radio network. SN Computer Science, 1, 1–36.

5. Ahuja, B., & Kaur, G. (2017). Design of an improved spectrum sensing technique using dynamic double thresholds for cognitive radio networks. Wireless Personal Communications, 97(1), 821–844.

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