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A Genetic Algorithm for Channel Allocation Problem in Cognitive Radio Wireless Mesh Network

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Green Communications and Networks

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 113))

Abstract

In order to improve the communication reliability of the cognitive radio mesh network and increase spectrum utilization, a spectrum allocation algorithm based on genetic algorithm in consideration of the power control is proposed in this paper. A network utility model is built for joint power and channel allocation, and a corresponding encoding rule is designed. To ensure the validity of bodies and the fast convergence to the best solution, crossover, mutation operator and control mechanism are designed separately. Extensive simulation results are presented to verify this approach.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China under Grant Nos. 60903159, 61070162, 71071028, 60802023 and 70931001; the Specialized Research Fund for the Doctoral Program of Higher Education under Grant No. 20070145017; the Fundamental Research Funds for the Central Universities under Grant No. N090504003 and No. N090504006.

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Authors and Affiliations

  1. College of Information Science and Engineering, Northeastern University, Shenyang, 110000 , China

    Jie Jia, Yanyan Li, Qufei Zhu, Zhaoyang Zhang & Jian Chen

Authors
  1. Jie Jia
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  2. Yanyan Li
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  3. Qufei Zhu
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  4. Zhaoyang Zhang
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  5. Jian Chen
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Corresponding author

Correspondence to Jie Jia .

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Editors and Affiliations

  1. , Department of Electronic Engineering, Shanghai Jiao Tong University, Dongchuan Road 800, Shanghai, 200240, China, People's Republic

    Yuhang Yang

  2. , Electrical & Electronic Engineering, Nanyang Technological University, Nanyang Avenue, Singapore, 639798, Singapore

    Maode Ma

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Jia, J., Li, Y., Zhu, Q., Zhang, Z., Chen, J. (2012). A Genetic Algorithm for Channel Allocation Problem in Cognitive Radio Wireless Mesh Network. In: Yang, Y., Ma, M. (eds) Green Communications and Networks. Lecture Notes in Electrical Engineering, vol 113. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2169-2_182

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  • DOI: https://doi.org/10.1007/978-94-007-2169-2_182

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-2168-5

  • Online ISBN: 978-94-007-2169-2

  • eBook Packages: EngineeringEngineering (R0)

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