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

Research output: Contribution to conferencePaperpeer-review


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 languageEnglish
Pages1 -5
Publication statusPublished - 1 Sept 2008


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

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