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A hybrid dynamic aggregation and fragmentation cognitive channel allocation model for mobile communication

Author

Listed:
  • Sunil Kumar Singh

    (Mahatma Gandhi Central University)

  • Mangala Prasad Mishra

    (Indira Gandhi National Open University)

  • Deo Prakash Vidyarthi

    (Jawaharlal Nehru University)

Abstract

Cognitive Radio is playing a crucial role to enhance radio spectrum utilization by applying various techniques for real-time and non-real-time services. In this work, we have proposed an aggregation and fragmentation of bandwidth-based channel allocation model which uses the Cognitive Radio concept to allocate the channels effectively. In the model, services are categorized into four heterogeneous classes. Of this, Primary new and Primary handoff services are of real-time in nature while Secondary new and Secondary handoff services are of non-real-time in nature. The network is also categorized into two: fixed network and dynamic network categories to enhance the spectrum utilization and to minimize the call block and call drop. Performance analysis, along with the comparative results, exhibit the effectiveness of the proposed model.

Suggested Citation

  • Sunil Kumar Singh & Mangala Prasad Mishra & Deo Prakash Vidyarthi, 2023. "A hybrid dynamic aggregation and fragmentation cognitive channel allocation model for mobile communication," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 84(4), pages 443-455, December.
    • Handle: RePEc:spr:telsys:v:84:y:2023:i:4:d:10.1007_s11235-023-01060-y
    DOI: 10.1007/s11235-023-01060-y
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