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Network slicing in 5G: An auction-based model

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Original languageEnglish
Title of host publication2017 IEEE International Conference on Communications
ISBN (Electronic)9781467389990
ISBN (Print)9781467390002
Accepted/In press27 Jan 2017
E-pub ahead of print31 Jul 2017
Event2017 IEEE International Conference on Communications, ICC 2017 - Paris, France
Duration: 21 May 201725 May 2017

Publication series

ISSN (Electronic)1938-1883


Conference2017 IEEE International Conference on Communications, ICC 2017


  • Network slicing in 5G_JIANG_Published 31 Jul 17_AAM

    1570321764.pdf, 509 KB, application/pdf

    Uploaded date:15 Feb 2017

    Version:Accepted author manuscript

    © 2017 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.

King's Authors


The 5G mobile network is expected to meet the diverse demands from multiple types of business services. At the same time, some of the 5G use cases come with hard, and often expensive to meet, requirements in terms of latency and
bandwidth. It is a common understanding that one system can not fit all and there is a need for customizing network according to the requirements of specific business use cases. Network slicing is introduced to partition the physical network to different slices to be configured for providing different quality of service as requested by the slice’ operator and required by the slice’ users. Since these slices will be used by the businesses, e.g. verticals,
allocating physical resources to the network slices, is not anymore only a matter of performance but also a matter of revenue and business model. In this paper, we address a joint resource and revenue optimization a novel auction based model. Through extensive simulation study, we demonstrate our proposed auction model can allocate network resources to network slices for providing (i) higher satisfaction of requirements per network slice, and (ii) increased network revenue.

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