1st International ICST Workshop on Cognitive Networks and Communications

Research Article

Performance of Cognitive Radio Reinforcement Spectrum Sharing Using Different Weighting Factors

  • @INPROCEEDINGS{10.1109/CHINACOM.2008.4685240,
        author={Tao Jiang and David Grace and Yiming Liu},
        title={Performance of Cognitive Radio Reinforcement Spectrum Sharing Using Different Weighting Factors},
        proceedings={1st International ICST Workshop on Cognitive Networks and Communications},
        publisher={IEEE},
        proceedings_a={COGCOM},
        year={2008},
        month={11},
        keywords={Cognitive Radio Spectrum Sharing Reinforcement Learning Weighting Factor},
        doi={10.1109/CHINACOM.2008.4685240}
    }
    
  • Tao Jiang
    David Grace
    Yiming Liu
    Year: 2008
    Performance of Cognitive Radio Reinforcement Spectrum Sharing Using Different Weighting Factors
    COGCOM
    IEEE
    DOI: 10.1109/CHINACOM.2008.4685240
Tao Jiang1,*, David Grace1,*, Yiming Liu1,*
  • 1: Communication Research Group, Department of Electronics, University of York, York, YO10 5DD, United Kingdom
*Contact email: tj511@ohm.york.ac.uk, dg@ohm.york.ac.uk, yl127@ohm.york.ac.uk

Abstract

This paper introduces a distributed spectrum sharing scheme in the context of cognitive radio which enables efficient usage of spectrum. This is achieved by using the past experience based on reinforcement learning. It shows that reinforcement spectrum sharing provides a good solution and has the potential to significantly improve the system performance. Several learning strategies based on different sets of weighting factors are investigated. Comparisons of system performance using different learning strategies are given to illustrate the importance of weighting factors in the spectrum sharing process.