Distributed Resource Allocation for Network Slicing Over Licensed and Unlicensed Bands

Xiao, Y; Hirzallah, M; Krunz, M

Distributed Resource Allocation for Network Slicing Over Licensed and Unlicensed Bands

Xiao, Y Hirzallah, M Krunz, M

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Publication Type:: Journal Article
Citation:: IEEE Journal on Selected Areas in Communications, 2018, 36 (10), pp. 2260 - 2274
Issue Date:: 2018-10-01

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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.issued	2018-10-01	en_US
dc.identifier.citation	IEEE Journal on Selected Areas in Communications, 2018, 36 (10), pp. 2260 - 2274	en_US
dc.identifier.issn	0733-8716	en_US
dc.identifier.uri	http://hdl.handle.net/10453/131407
dc.description.abstract	© 2018 IEEE. Network slicing is one of the key enabling technologies 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 coordinate and jointly slice their accessible spectrum resources in both licensed and unlicensed bands. For licensed band slicing, we propose an inter-operator spectrum aggregation method that 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. Because all MNOs enjoy equal rights to access these 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-envelope method for MNOs to evaluate their Value-of-Rights when coexisting with other wireless technologies. A network slicing game based on the overlapping coalition formation game is formulated to investigate the possible cooperation among MNOs. We prove that our proposed game always has at least one stable slicing structure that maximizes the social welfare. To implement our proposed framework without requiring MNOs to reveal private information to other MNOs, we develop a distributed algorithm called distributed alternating direction method of multipliers with partially variable splitting. Performance evaluation of our proposed framework is provided using a discrete-event simulator that is driven by real MNO deployment scenarios based on over 400 base station locations deployed by two primary cellular operators in the city of Dublin. Numerical results show that our proposed frameworks can almost double the capacity for all supported services for each MNO in an urban setting.	en_US
dc.relation.ispartof	IEEE Journal on Selected Areas in Communications	en_US
dc.relation.isbasedon	10.1109/JSAC.2018.2869964	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	Distributed Resource Allocation for Network Slicing Over Licensed and Unlicensed Bands	en_US
dc.type	Journal Article
utslib.citation.volume	10	en_US
utslib.citation.volume	36	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	1005 Communications Technologies	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	closed_access	*
pubs.issue	10	en_US
pubs.publication-status	Published	en_US
pubs.volume	36	en_US

Abstract:

© 2018 IEEE. Network slicing is one of the key enabling technologies 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 coordinate and jointly slice their accessible spectrum resources in both licensed and unlicensed bands. For licensed band slicing, we propose an inter-operator spectrum aggregation method that 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. Because all MNOs enjoy equal rights to access these 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-envelope method for MNOs to evaluate their Value-of-Rights when coexisting with other wireless technologies. A network slicing game based on the overlapping coalition formation game is formulated to investigate the possible cooperation among MNOs. We prove that our proposed game always has at least one stable slicing structure that maximizes the social welfare. To implement our proposed framework without requiring MNOs to reveal private information to other MNOs, we develop a distributed algorithm called distributed alternating direction method of multipliers with partially variable splitting. Performance evaluation of our proposed framework is provided using a discrete-event simulator that is driven by real MNO deployment scenarios based on over 400 base station locations deployed by two primary cellular operators in the city of Dublin. Numerical results show that our proposed frameworks can almost double the capacity for all supported services for each MNO in an urban setting.

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http://hdl.handle.net/10453/131407