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

Sunil Kumar Singh (), Mangala Prasad Mishra () and Deo Prakash Vidyarthi ()
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Sunil Kumar Singh: Mahatma Gandhi Central University
Mangala Prasad Mishra: Indira Gandhi National Open University
Deo Prakash Vidyarthi: Jawaharlal Nehru University

Telecommunication Systems: Modelling, Analysis, Design and Management, 2023, vol. 84, issue 4, No 1, 443-455

Abstract: 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.

Keywords: Cognitive Radio; Channel aggregation; Channel selection; Channel fragmentation; Handover (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11235-023-01060-y

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