Jiang, Tao, Grace, D. orcid.org/0000-0003-4493-7498 and Liu, Yiming (2008) Cognitive radio spectrum sharing schemes with reduced spectrum sensing requirements:IET Seminar on Cognitive Radio and Software Defined Radios: Technologies and Techniques, Septemeber 2008. In: UNSPECIFIED.
Abstract
In this paper, we present a novel distributed spectrum sharing scheme for cognitive radio which can effectively reduce the need for spectrum sensing. This is achieved by utilizing the experience of reinforcement learning. Instead of sensing all of the available spectrum arbitrarily, the scheme is designed to share the spectrum based on an optimum spectrum sharing strategy which is discovered by the agents from their interaction with the wireless communication environment. It shows that reinforcement learning enables an efficient approach of spectrum sensing. The performance of the reinforcement learning scheme is investigated and comparisons with a no learning scheme are given to illustrate the benefits of our scheme.
Metadata
Item Type: | Conference or Workshop Item |
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Authors/Creators: |
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Keywords: | cognitive radio spectrum sharing scheme,reduced spectrum sensing requirements,reinforcement learning,cognitive radio,learning (artificial intelligence),radio spectrum management |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Electronic Engineering (York) |
Depositing User: | Pure (York) |
Date Deposited: | 19 Feb 2013 16:23 |
Last Modified: | 07 Feb 2025 00:04 |
Status: | Published |
Refereed: | Yes |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:75108 |
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Filename: Cognitive_Radio_Spectrum_Sharing_Schemes_with_Reduced_Spectrum_Sensing_Requirements.pdf
Description: Cognitive Radio Spectrum Sharing Schemes with Reduced Spectrum Sensing Requirements