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10th EAI International Conference on Communications and Networking in China

Research Article

Characterization of Hybrid Access Control with SINR Constraints in Cognitive Radio Networks

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  • @INPROCEEDINGS{10.4108/eai.15-8-2015.2260849,
        author={Xiangping Zhai and Hong Shen and Xiangmao Chang and Xianwei Sun},
        title={Characterization of Hybrid Access Control with SINR Constraints in Cognitive Radio Networks},
        proceedings={10th EAI International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2015},
        month={9},
        keywords={cognitive radio networks spectrum access control system capacity spectral radius energy efficiency},
        doi={10.4108/eai.15-8-2015.2260849}
    }
    
  • Xiangping Zhai
    Hong Shen
    Xiangmao Chang
    Xianwei Sun
    Year: 2015
    Characterization of Hybrid Access Control with SINR Constraints in Cognitive Radio Networks
    CHINACOM
    IEEE
    DOI: 10.4108/eai.15-8-2015.2260849
Xiangping Zhai,*, Hong Shen1, Xiangmao Chang1, Xianwei Sun2
  • 1: Nanjing University of Aeronautics and Astronautics
  • 2: Wuhan University of Technology
*Contact email: blueicezhaixp@nuaa.edu.cn

Abstract

Cognitive radio is a promising technique for increasing spectrum efficiency in wireless networks. In this paper, we study power minimization problem to allow as many secondary users access the channel of primary users as possible. In this appealing issue, many considerable literatures have been studied to generally remove a subset of the secondary users such that the remaining users satisfy the constraints with power budget and Signal-to-Interference-plus-Noise Ratio (SINR). However, when the outage probability is large, i.e. there are numerous unsupported secondary users in cognitive radio networks, the removal algorithms take interference time. Instead of removing the worst secondary user, we propose a hybrid access algorithm, leveraging the characterization of the feasibility with the spectral radius, to promote the capacity and reduce the interference time. Compared with present known alternatives, numerical results show that our algorithm achieves a better capacity.

Keywords
cognitive radio networks spectrum access control system capacity spectral radius energy efficiency
Published
2015-09-21
Publisher
IEEE
http://dx.doi.org/10.4108/eai.15-8-2015.2260849
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