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

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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.

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Authors and Affiliations

  1. Department of Computer Science and Information Technology, Mahatma Gandhi Central University, Motihari, Bihar, 845401, India

    Sunil Kumar Singh

  2. School of Computer and Information Sciences, Indira Gandhi National Open University, New Delhi, India

    Mangala Prasad Mishra

  3. School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, Delhi, 110067, India

    Deo Prakash Vidyarthi

Authors
  1. Sunil Kumar Singh
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  2. Mangala Prasad Mishra
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  3. Deo Prakash Vidyarthi
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Contributions

SKS: conceptualization, methodology, validation, formal analysis, and writing—original draft. MPM: validation, resources, investigation, and writing—review and editing. DPV: validation, supervision, investigation and writing—review and editing.

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Correspondence to Sunil Kumar Singh.

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Singh, S.K., Mishra, M.P. & Vidyarthi, D.P. A hybrid dynamic aggregation and fragmentation cognitive channel allocation model for mobile communication. Telecommun Syst 84, 443–455 (2023). https://doi.org/10.1007/s11235-023-01060-y

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