Spectrum Sharing Optimization in Cellular Networks under Target Performance and Budget Restriction

Asaduzzaman, Md and Abozariba, Raouf and Patwary, Mohammad (2017) Spectrum Sharing Optimization in Cellular Networks under Target Performance and Budget Restriction. In: IEEE 85th Vehicular Technology Conference, 4-7 June, Sydney.

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Abstract

Dynamic Spectrum Sharing (DSS) aims to provide
opportunistic access to under-utilized spectrum in cellular
networks for secondary network operators. In this paper we
propose an algorithm using stochastic and optimization models to borrow spectrum bandwidths under the assumption that more resources exist for secondary access than the secondary network demand by considering a merchant mode. The main aim of the paper is to address the problem of spectrum borrowing in DSS environments, where a secondary network operator aims to borrow the required spectrum from multiple primary network operators to achieve a maximum profit under specific grade of service (GoS) and budget restriction. We assume that the primary network operators offer spectrum access opportunities with variable number of channels (contiguous and/or non-contiguous) at variable prices. Results obtained are then compared with results derived from a heuristic algorithm in which spectrum borrowing are random. Comparisons showed that the gain in the results obtained from our proposed stochastic-optimization framework is significantly higher than random counterpart.

Item Type: Conference or Workshop Item (Paper)
Identification Number: https://doi.org/10.1109/VTCSpring.2017.8108226
Dates:
DateEvent
16 November 2017Published Online
Uncontrolled Keywords: Spectrum sharing, spectrum allocation, merchant mode, spectrum pricing, mathematical progarmming.
Subjects: CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - 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
Depositing User: Ian Mcdonald
Date Deposited: 24 Mar 2017 15:18
Last Modified: 22 Mar 2023 12:01
URI: https://www.open-access.bcu.ac.uk/id/eprint/4151

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