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Conference Paper: Big-data-enabled software-defined cellular network management

TitleBig-data-enabled software-defined cellular network management
Authors
Issue Date2016
PublisherIEEE.
Citation
The 1st International Conference on Software Networking (ICSN 2016), Jeju Island, South Korea, 23-26 May 2016. In Conference Proceedings, 2016, p. 1-5 How to Cite?
AbstractWith the development of big data collection and analysis technologies, the abundant mobile network information and traffic data provide opportunities for researchers to analyze and understand mobile networks better. However, the existing cellular network architecture do not facilitate the deployment of big mobile data analysis in practical networks. In order to use these data for network management, in this paper, we propose a new software-defined cellular network (SDCN) architecture, namely Big-Data-Enabled Architecture (BDEA), which can support big mobile data analysis and storage for efficient cellular network resource allocation. Based on BDEA, we also propose a virtuous network management cycle of data collection, data analysis and network deployment, which can increase the efficiency of network improvement and feedback. Several application cases of network resource allocation in BDEA are discussed to illustrate how big mobile data analysis can benefit network optimization. © 2016 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/232296
ISBN

 

DC FieldValueLanguage
dc.contributor.authorWen, J-
dc.contributor.authorLi, VOK-
dc.date.accessioned2016-09-20T05:29:02Z-
dc.date.available2016-09-20T05:29:02Z-
dc.date.issued2016-
dc.identifier.citationThe 1st International Conference on Software Networking (ICSN 2016), Jeju Island, South Korea, 23-26 May 2016. In Conference Proceedings, 2016, p. 1-5-
dc.identifier.isbn978-150901676-1-
dc.identifier.urihttp://hdl.handle.net/10722/232296-
dc.description.abstractWith the development of big data collection and analysis technologies, the abundant mobile network information and traffic data provide opportunities for researchers to analyze and understand mobile networks better. However, the existing cellular network architecture do not facilitate the deployment of big mobile data analysis in practical networks. In order to use these data for network management, in this paper, we propose a new software-defined cellular network (SDCN) architecture, namely Big-Data-Enabled Architecture (BDEA), which can support big mobile data analysis and storage for efficient cellular network resource allocation. Based on BDEA, we also propose a virtuous network management cycle of data collection, data analysis and network deployment, which can increase the efficiency of network improvement and feedback. Several application cases of network resource allocation in BDEA are discussed to illustrate how big mobile data analysis can benefit network optimization. © 2016 IEEE.-
dc.languageeng-
dc.publisherIEEE.-
dc.relation.ispartofInternational Conference on Software Networking (ICSN) Proceedings-
dc.rightsInternational Conference on Software Networking (ICSN) Proceedings. Copyright © IEEE.-
dc.rights©2016 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.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleBig-data-enabled software-defined cellular network management-
dc.typeConference_Paper-
dc.identifier.emailLi, VOK: vli@eee.hku.hk-
dc.identifier.authorityLi, VOK=rp00150-
dc.description.naturepostprint-
dc.identifier.doi10.1109/ICSN.2016.7501923-
dc.identifier.scopuseid_2-s2.0-84979587774-
dc.identifier.hkuros265242-
dc.identifier.spage1-
dc.identifier.epage5-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 161028-

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