Sarigiannidis, P., Louta, M., Balasa, E. et al. (1 more author) (2014) Adaptive Sensing Policies for Cognitive Wireless Networks using Learning Automata. In: Computers and Communications (ISCC), 2013 IEEE Symposium on. 2013 IEEE Symposium on Computers and Communications (ISCC), 07-10 Jul 2013, Split, Croatia. IEEE
Abstract
This paper introduces an adaptive spectrum sensing method for cognitive radio wireless networks. The proposed method enhances previously proposed random-based sensing policies, effectively selecting the licensed channels to be sensed by accurately estimating channels' availability, resulting, thus, to high system's resources utilization. The core mechanism of the adaptive method is an enhanced learning automaton, which efficiently interacts with the environment and provides accurate decisions on selecting the channel to be sensed on behalf of the secondary users. A thorough description of the introduced method is provided, while the performance of the enhanced sensing policies is verified through extensive simulation experiment.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2013 IEEE. |
Keywords: | cognitive radio; learning automata; multi-channel MAC; wireless networks |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > International Faculty (Sheffield) > City College - Computer Science |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 14 Jul 2017 12:03 |
Last Modified: | 19 Dec 2022 13:35 |
Published Version: | https://doi.org/10.1109/ISCC.2013.6754991 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/ISCC.2013.6754991 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:116443 |