MatchMaker: An Inter-operator Network Sharing Framework in Unlicensed Bands

Hirzallah, M; Xiao, Y; Krunz, M

MatchMaker: An Inter-operator Network Sharing Framework in Unlicensed Bands

Hirzallah, M Xiao, Y Krunz, M

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops, 2019, 2019-June
Issue Date:: 2019-06-01

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Field	Value	Language
dc.contributor.author	Hirzallah, M
dc.contributor.author	Xiao, Y
dc.contributor.author	Krunz, M
dc.date	2019-06-10
dc.date.accessioned	2020-06-13T00:08:22Z
dc.date.available	2020-06-13T00:08:22Z
dc.date.issued	2019-06-01
dc.identifier.citation	Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops, 2019, 2019-June
dc.identifier.isbn	9781728112077
dc.identifier.issn	2155-5486
dc.identifier.issn	2155-5494
dc.identifier.uri	http://hdl.handle.net/10453/141397
dc.description.abstract	© 2019 IEEE. In this paper, we consider the scenario in which mobile network operators (MNOs) share network infrastructure for operating 5G new radio (NR) services in unlicensed bands, whereby they reduce their deployment cost and extend their service coverage. Conserving privacy of MNOs' users, maintaining fairness with coexisting technologies such as Wi-Fi, and reducing communication overhead between MNOs are among top challenges limiting the feasibility and success of this sharing paradigm. To resolve above issues, we present MatchMaker, a novel framework for joint network infrastructure and unlicensed spectrum sharing among MNOs. MatchMaker extends the 3GPP's infrastructure sharing architecture, originally introduced for licensed bands, to have privacy-conserving protocols for managing the shared infrastructure. We also propose a novel privacy-conserving algorithm for channel assignment among MNOs. Although achieving an optimal channel assignment for MNOs over unlicensed bands dictates having global knowledge about MNOs' network conditions and their interference zones, our channel assignment algorithm does not require such global knowledge and maximizes the cross-technology fairness for the coexisting systems. We let the manager, controlling the shared infrastructure, estimate potential interference among MNOs and Wi-Fi systems by asking MNOs to propose their preferred channel assignment and monitoring their average contention delay overtime. The manager only accepts/rejects MNOs' proposals and builds contention graph between all colocated devices. Our results show that MatchMaker achieves fairness up to 90% of the optimal alpha-fairness-based channel assignment while still preserving MNOs' privacy.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops
dc.relation.ispartof	Annual IEEE International Conference on Sensing, Communication, and Networking
dc.relation.isbasedon	10.1109/SAHCN.2019.8824920
dc.rights	info:eu-repo/semantics/closedAccess
dc.rights	© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.title	MatchMaker: An Inter-operator Network Sharing Framework in Unlicensed Bands
dc.type	Conference Proceeding
utslib.citation.volume	2019-June
utslib.location.activity	Boston, MA, USA
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
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2020-06-13T00:08:17Z
pubs.finish-date	2019-06-13
pubs.place-of-publication	Piscataway, USA
pubs.publication-status	Published
pubs.start-date	2019-06-10
pubs.volume	2019-June
dc.location	Piscataway, USA

Abstract:

© 2019 IEEE. In this paper, we consider the scenario in which mobile network operators (MNOs) share network infrastructure for operating 5G new radio (NR) services in unlicensed bands, whereby they reduce their deployment cost and extend their service coverage. Conserving privacy of MNOs' users, maintaining fairness with coexisting technologies such as Wi-Fi, and reducing communication overhead between MNOs are among top challenges limiting the feasibility and success of this sharing paradigm. To resolve above issues, we present MatchMaker, a novel framework for joint network infrastructure and unlicensed spectrum sharing among MNOs. MatchMaker extends the 3GPP's infrastructure sharing architecture, originally introduced for licensed bands, to have privacy-conserving protocols for managing the shared infrastructure. We also propose a novel privacy-conserving algorithm for channel assignment among MNOs. Although achieving an optimal channel assignment for MNOs over unlicensed bands dictates having global knowledge about MNOs' network conditions and their interference zones, our channel assignment algorithm does not require such global knowledge and maximizes the cross-technology fairness for the coexisting systems. We let the manager, controlling the shared infrastructure, estimate potential interference among MNOs and Wi-Fi systems by asking MNOs to propose their preferred channel assignment and monitoring their average contention delay overtime. The manager only accepts/rejects MNOs' proposals and builds contention graph between all colocated devices. Our results show that MatchMaker achieves fairness up to 90% of the optimal alpha-fairness-based channel assignment while still preserving MNOs' privacy.

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http://hdl.handle.net/10453/141397