Network Slice Mobility in Next Generation Mobile Systems: Challenges and Potential Solutions

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorAddad, Rami Aen_US
dc.contributor.authorTaleb, Tariken_US
dc.contributor.authorFlinck, Hannuen_US
dc.contributor.authorBagaa, Milouden_US
dc.contributor.authorDutra, Diegoen_US
dc.contributor.departmentMobile Network Softwarization and Service Customizationen_US
dc.contributor.departmentNokia Bell Labs Finlanden_US
dc.contributor.departmentFederal University of Rio de Janeiroen_US
dc.contributor.departmentDepartment of Communications and Networkingen
dc.date.accessioned2020-02-21T08:05:08Z
dc.date.available2020-02-21T08:05:08Z
dc.date.issued2020-01-01en_US
dc.descriptionAvaa käsikirjoitus, kun julkaistu | openaire: EC/H2020/761898/EU//MATILDA
dc.description.abstractNetwork slicing offers numerous benefits, particularly the ability to deliver highly customizable services to new industry sectors that have been unserved or inadequately served by current mobile network operators. Among new industry use cases that are targeted by the fifth generation (5G) mobile systems, there exist scenarios that go beyond what the current device-centric mobility approaches can support. The mobility of low latency communication services, shared by a group of moving devices, e.g., autonomous vehicles that share sensor data, is a prime example of these cases. These use cases' demands for ultra-low latency can be addressed by leveraging the Multi-Access Edge Computing (MEC) concept, techniques for live migration of virtual resources, Software Defined Networking (SDN), and network slicing. In this article, we define different slice mobility patterns, different methods for grouping users, and different triggers for network slice mobility. Furthermore, we evaluate the mobility of services and network slices based on the simultaneous migrations of multiple containers.en
dc.description.versionPeer revieweden
dc.format.extent84-93
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationAddad , R A , Taleb , T , Flinck , H , Bagaa , M & Dutra , D 2020 , ' Network Slice Mobility in Next Generation Mobile Systems: Challenges and Potential Solutions ' , IEEE NETWORK , vol. 34 , no. 1 , 8977449 , pp. 84-93 . https://doi.org/10.1109/MNET.2019.1800268en
dc.identifier.doi10.1109/MNET.2019.1800268en_US
dc.identifier.issn0890-8044
dc.identifier.otherPURE UUID: b160f2d1-82db-4b79-a3b7-0bb22e3caaf6en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/b160f2d1-82db-4b79-a3b7-0bb22e3caaf6en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85079051257&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/40465728/ELEC_Addad_Network_slice_IEEENet.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/43210
dc.identifier.urnURN:NBN:fi:aalto-202002212263
dc.language.isoenen
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/761898/EU//MATILDAen_US
dc.relation.ispartofseriesIEEE NETWORKen
dc.relation.ispartofseriesVolume 34, issue 1en
dc.rightsopenAccessen
dc.subject.keyword5Gen_US
dc.subject.keywordNetwork Sliceen_US
dc.subject.keywordNetwork Softwarisationen_US
dc.subject.keywordMigrationen_US
dc.subject.keywordNFVen_US
dc.subject.keywordSDNen_US
dc.subject.keywordMECen_US
dc.titleNetwork Slice Mobility in Next Generation Mobile Systems: Challenges and Potential Solutionsen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionacceptedVersion
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