Dynamic Spectrum Sharing Optimization and Post-optimization Analysis with Multiple Operators in Cellular Networks

Asaduzzaman, Md and Abozariba, Raouf and Patwary, Mohammad (2017) Dynamic Spectrum Sharing Optimization and Post-optimization Analysis with Multiple Operators in Cellular Networks. IEEE Transactions on Wireless Communications. ISSN 1536-1276

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Abstract

Dynamic spectrum sharing aims to provide secondary access to under-utilized spectrum in cellular networks. The main aim of the paper is twofold. Firstly, secondary operator aims to borrow spectrum bandwidths under the assumption that more spectrum resources exist considering a merchant mode. Two optimization models are proposed using stochastic and optimization models in which the secondary operator (i) spends the minimal cost to achieve the target grade of service assuming unrestricted budget
or (ii) gains the maximal profit to achieve the target grade of service assuming restricted budget. Results obtained from each model are then compared with results derived from algorithms in which spectrum borrowings are random. Comparisons showed that the gain in the results obtained from our proposed stochastic-optimization framework is significantly higher than heuristic counterparts. Secondly, post-optimization performance analysis of the operators in the form of blocking probability in various scenarios is investigated to determine the probable performance gain and degradation of the secondary and primary operators respectively. We mathematically model the sharing agreement scenario and derive the closed form solution of blocking probabilities for each operator. Results show how the secondary
operator perform in terms of blocking probability under various offered loads and sharing capacity.

Item Type: Article
Uncontrolled Keywords: Dynamic spectrum sharing, spectrum allocation, merchant mode, spectrum pricing, aggregated channel allocation algorithms.
Subjects: G400 Computer Science
Divisions: Faculty of Computing, Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology > Cloud Computing
UoA Collections > UoA11: Computer Science and Informatics
Depositing User: $ Ian McDonald
Date Deposited: 07 Aug 2017 09:32
Last Modified: 08 Aug 2017 08:57
URI: http://www.open-access.bcu.ac.uk/id/eprint/4953

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