Optimizing inter-operator network slicing over licensed and unlicensed bands

Xiao, Y; Hirzallah, M; Krunz, M

Optimizing inter-operator network slicing over licensed and unlicensed bands

Xiao, Y Hirzallah, M Krunz, M

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Publication Type:: Conference Proceeding
Citation:: 2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018, 2018, pp. 1 - 9
Issue Date:: 2018-06-26

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Field	Value	Language
dc.contributor.author	Xiao, Y	en_US
dc.contributor.author	Hirzallah, M	en_US
dc.contributor.author	Krunz, M	en_US
dc.date.available	2020-10-18T18:05:26Z
dc.date.issued	2018-06-26	en_US
dc.identifier.citation	2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018, 2018, pp. 1 - 9	en_US
dc.identifier.isbn	9781538642818	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132884
dc.description.abstract	© 2018 IEEE. Network slicing has been considered as a key enabling technology for 5G due to its ability to customize and "slice" a common resource to support diverse services and verticals. This paper introduces a novel inter-operator network slicing framework in which multiple mobile network operators (MNOs) can cooperate and jointly slice their accessible spectrum resources in both licensed and unlicensed bands. For the licensed band slicing, we propose the inter-operator spectrum aggregation method which allows two or more MNOs to cooperate and share their licensed bands to support a common set of service types. We then consider the sharing of unlicensed bands. Since all MNOs enjoy equal rights to access unlicensed bands, we introduce the concept of right sharing for MNOs to share and trade their spectrum access rights. We develop a modified back-of-the-envelop method for the MNOs to evaluate their value of rights when coexisting with other wireless technologies. We develop a network slicing game based on the overlapping coalition formation game to investigate the possible cooperation between MNOs. We prove that our proposed game always has at least one stable slicing structure that maximizes the social welfare. To evaluate the practical performance of our proposed framework, we develop a C++-based discrete-event simulator and simulate a possible implementation of our proposed framework over 400 base station locations deployed by two primary cellular operators in the city of Dublin. Numerical results show that our proposed framework can almost double the capacity for all supported services for each operator under certain conditions.	en_US
dc.relation.ispartof	2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018	en_US
dc.relation.isbasedon	10.1109/SAHCN.2018.8397107	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Optimizing inter-operator network slicing over licensed and unlicensed bands	en_US
dc.type	Conference Proceeding
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2018 IEEE. Network slicing has been considered as a key enabling technology for 5G due to its ability to customize and "slice" a common resource to support diverse services and verticals. This paper introduces a novel inter-operator network slicing framework in which multiple mobile network operators (MNOs) can cooperate and jointly slice their accessible spectrum resources in both licensed and unlicensed bands. For the licensed band slicing, we propose the inter-operator spectrum aggregation method which allows two or more MNOs to cooperate and share their licensed bands to support a common set of service types. We then consider the sharing of unlicensed bands. Since all MNOs enjoy equal rights to access unlicensed bands, we introduce the concept of right sharing for MNOs to share and trade their spectrum access rights. We develop a modified back-of-the-envelop method for the MNOs to evaluate their value of rights when coexisting with other wireless technologies. We develop a network slicing game based on the overlapping coalition formation game to investigate the possible cooperation between MNOs. We prove that our proposed game always has at least one stable slicing structure that maximizes the social welfare. To evaluate the practical performance of our proposed framework, we develop a C++-based discrete-event simulator and simulate a possible implementation of our proposed framework over 400 base station locations deployed by two primary cellular operators in the city of Dublin. Numerical results show that our proposed framework can almost double the capacity for all supported services for each operator under certain conditions.

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http://hdl.handle.net/10453/132884