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- Title
Cooperative spectrum estimation over large‐scale cognitive radio networks.
- Authors
Hajiabadi, Mojtaba; Khoshbin, Hossein; Abed Hodtani, Ghosheh
- Abstract
Spectrum sensing is a significant issue in cognitive radio networks which enables estimation of the frequency spectrum and hence provides frequency reuse. In the large‐scale cognitive radio networks, secondary users cannot share a common spectrum since the coverage area of primary users is limited. In this study, the authors suggest a diffusion adaptive learning algorithm based on correntropy cooperation policy, which first categorises received data of secondary users into several groups, and then learns a common spectrum inside each group. The mean‐square performance of proposed algorithm is analysed and supported by simulations. Experimental results show that, in a multitask cognitive network, the proposed algorithm can achieve a better mean‐square deviation learning performance both in transient and steady‐state regimes in comparison with other conventional algorithms.
- Publication
IET Signal Processing (Wiley-Blackwell), 2017, Vol 11, Issue 8, p1006
- ISSN
1751-9675
- Publication type
Article
- DOI
10.1049/iet-spr.2016.0727