Cognitive radio spectrum sharing schemes with reduced spectrum sensing requirements: IET Seminar on Cognitive Radio and Software Defined Radios: Technologies and Techniques, Septemeber 2008

Tao Jiang; D. Grace; Yiming Liu

Cognitive radio spectrum sharing schemes with reduced spectrum sensing requirements: IET Seminar on Cognitive Radio and Software Defined Radios: Technologies and Techniques, Septemeber 2008

Electronic Engineering

Research output: Contribution to conference › Paper › peer-review

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.

Original language	English
Pages	1 -5
Publication status	Published - 1 Sept 2008

Keywords

cognitive radio spectrum sharing scheme
reduced spectrum sensing requirements
reinforcement learning
cognitive radio
learning (artificial intelligence)
radio spectrum management

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Cognitive radio spectrum sharing schemes with reduced spectrum sensing requirements: IET Seminar on Cognitive Radio and Software Defined Radios: Technologies and Techniques, Septemeber 2008

Abstract

Keywords

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