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Joint Optimization of Interface Assignment and Channel Allocation in Cognitive Radio Mesh Networks

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Wireless Algorithms, Systems, and Applications (WASA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7405))

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Abstract

With the rapid growth of wireless networks and the increasing demand for wireless services, there will be an acute shortage of spectrum resources in the near future. A promising solution is to use the cognitive radio technology to arm the mesh nodes with opportunistic spectrum access capability, which leads to a more flexible access to spectral resources. In this paper, we investigate the joint interface assignment and channel allocation problem in cognitive radio mesh network. In order to ensure the QoS quality for each call, we propose a novel nested optimization technique based on genetic algorithm to find the optimal resource allocation. Extensive simulation results show that the proposed algorithm converges fast and approaches the global optimal solution efficiently.

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© 2012 Springer-Verlag Berlin Heidelberg

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Jia, J., Lin, Q., Li, J., Chen, J. (2012). Joint Optimization of Interface Assignment and Channel Allocation in Cognitive Radio Mesh Networks. In: Wang, X., Zheng, R., Jing, T., Xing, K. (eds) Wireless Algorithms, Systems, and Applications. WASA 2012. Lecture Notes in Computer Science, vol 7405. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31869-6_41

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  • DOI: https://doi.org/10.1007/978-3-642-31869-6_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31868-9

  • Online ISBN: 978-3-642-31869-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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