Mangala Prasad Mishra
School of Computer and Information Science, Indira Gandhi National Open University, New Delhi, India.
Sunil Kumar Singh
Department of Computer Science & Information Technology, Mahatma Gandhi Central University, Bihar, India.
Deo Prakash Vidyarthi
School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India.
The growing demand of radio spectrum to facilitate the primary/secondary users in a cellular network is a challenging task. Many channel allocation models, applying cognition, have been proposed to increase the radio spectrum utilization. The proposed model peruses three types of users: primary users (PUs), opportunistic primary users (OPUs), and secondary users (SUs) that use the radio resources in collocated primary base stations. Out of these users, the opportunistic primary users and secondary users may request for handover as per their requirements. The objective of the model is to enhance the radio spectrum utilization by the opportunistic utilization of radio resources by OPUs and by enabling cognitive radio base stations to collect free channel information dynamically. The cognitive radio base station maintains the centralized free channel at collocated primary base stations to facilitate the SUs opportunistically. The proposed channel allocation technique maintains the Quality of Experience (QoE) of the users as well. The performance analysis of the model is done by simulation which diversifies the importance of the proposed model in the view of minimum blocked services.
Keywords- Cognitive radio, Channel allocation, Quality of experience (QoE), Secondary base station (SBS), Spectrum handover, Call admission.
Mishra, M. P., Singh, S. K., & Vidyarthi, D. P. (2020). Opportunistic Channel Allocation Model in Collocated Primary Cognitive Network. International Journal of Mathematical, Engineering and Management Sciences, 5(5), 995-1012. https://doi.org/10.33889/IJMEMS.2020.5.5.076.
Conflict of Interest
The authors confirm that there is no conflict of interest to declare for this publication.
Authors would like to acknowledge the editors and the anonymous reviewers for their useful suggestions resulting in quality improvement of this paper. Also to acknowledge Mahatma Gandhi Central University, Bihar, India, and Indira Gandhi National Open University, New Delhi, India for the support and cooperation.
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