Quantifying Benefits in a Business Portfolio for Multi-Operator Spectrum Sharing

Sugathapala, Inosha; Kovacevic, Ivana; Lorenzo, Beatriz; Glisic, Savo; Fang, Yuguang

doi:10.1109/twc.2015.2457430

Cited by 23 publications

(20 citation statements)

References 19 publications

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“…For example, in [25] An extensive business portfolio for heterogeneous networks is presented to analyse the benefits due to multi-operator cooperation for spectrum sharing. High resolution pricing models are developed to dynamically facilitate price adaptation to the system State.…”

Section: B Related Workmentioning

confidence: 99%

“…The duration of each lease could be decided by the network providers under a mutual agreement, and/or any other regulatory bodies' conditions (e.g., minutes, hours, days). In our model, we assume that the PNOs receive a series of demands from multiple SNOs at different time instances [25,33]. Depending on the time of SNO's request, different sets of frequencies and prices can be available.…”

Section: Dynamic Spectrum Management Modelmentioning

confidence: 99%

“…A channel request is immediately lost if it finds the system busy, which implies that networks operate independently in a non-cooperative way. This is referred to as an Erlang loss system [25,34]. Under a loss system the well-known blocking probability for the jth type of service at the ith cell of the sth SNO can be given by the Erlang B formula as…”

Section: Spectrum Allocation By Minimising Borrowing Costmentioning

confidence: 99%

“…The state space of the Markov chain is specified in (25), and its transition rates Q(t) = (q(n, n , t), n, n ∈ Ω s ) are given by…”

Section: G Post-optimization Analysis Under Resource Sharing Betweenmentioning

confidence: 99%

See 3 more Smart Citations

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

Asaduzzaman

Abozariba

Patwary

2018

IEEE Trans. Wireless Commun.

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Dynamic spectrum sharing aims to provide secondary access to under-utilised 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.

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Section: B Related Workmentioning

confidence: 99%

Section: Dynamic Spectrum Management Modelmentioning

confidence: 99%

Section: Spectrum Allocation By Minimising Borrowing Costmentioning

confidence: 99%

“…The state space of the Markov chain is specified in (25), and its transition rates Q(t) = (q(n, n , t), n, n ∈ Ω s ) are given by…”

Section: G Post-optimization Analysis Under Resource Sharing Betweenmentioning

confidence: 99%

See 2 more Smart Citations

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

Asaduzzaman

Abozariba

Patwary

2018

IEEE Trans. Wireless Commun.

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“…Price-based DSS has also been investigated from the business perspective [26], [7]. For example, In [27] An extensive business portfolio for heterogeneous networks is presented to analyse the benefits due to multi-operator cooperation for spectrum sharing. High resolution pricing models are developed to dynamically facilitate price adaptation to the system State.…”

Section: Related Workmentioning

confidence: 99%

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

Asauzzaman

Abozariba

Patwary

2017

2017 IEEE 85th Vehicular Technology Conference (VTC Spring)

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Abstract-Dynamic Spectrum Sharing (DSS) aims to provide opportunistic access to under-utilised spectrum in cellular networks for secondary network operators. In this paper we propose an algorithm using stochastic and optimisation 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 an algorithm in which spectrum borrowing are random. Comparisons showed that the gain in the results obtained from our proposed stochastic-optimisation framework is significantly higher than random counterpart.

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Towards Spectrum Sharing in Virtualized Networks: A Survey and an Outlook

Ahmed

Kliks

Goratti

et al. 2018

Cognitive Radio, Mobile Communications and Wireless Networks

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Quantifying Benefits in a Business Portfolio for Multi-Operator Spectrum Sharing

Cited by 23 publications

References 19 publications

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

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

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

Towards Spectrum Sharing in Virtualized Networks: A Survey and an Outlook

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