Conference paper Open Access

Optimal Cross Slice Orchestration for 5G Mobile Services

Hoang, Dinh Thai; Niyato, Dusit; Wang, Ping; De Domenico, Antonio; Strinati, Emilio Calvanese

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    <subfield code="c">2019-04-15</subfield>
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    <subfield code="a">© 2018 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.</subfield>
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    <subfield code="d">27-30 August 2018</subfield>
    <subfield code="g">VTC-Fall</subfield>
    <subfield code="a">IEEE 88th Vehicular Technology Conference</subfield>
    <subfield code="c">Chicago, IL, USA</subfield>
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    <subfield code="a">&lt;p&gt;5G mobile networks encompass the capabilities of hosting a variety of services such as mobile social networks, multimedia delivery, healthcare, transportation, and public safety. Therefore, the major challenge in designing the 5G networks is how to support different types of users and applications with different quality-of-service requirements under a single physical network infrastructure. Recently, network slicing has been introduced as a promising solution to address this challenge. Network slicing allows programmable network instances which match the service requirements by using network virtualization technologies. However, how to efficiently allocate resources across network slices has not been well studied in the literature. Therefore, in this paper, we first introduce a model for orchestrating network slices based on the service requirements and available resources. Then, we propose a Markov decision process framework to formulate and determine the optimal policy that manages cross-slice admission control and resource allocation for the 5G networks. Through simulation results, we show that the proposed solution is efficient not only in providing slice-as-a-service based on service requirements, but also in maximizing the provider&amp;#39;s revenue.&lt;/p&gt;</subfield>
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    <subfield code="u">Nanyang Technological University, School of Computer Science and Engineering, Singapore</subfield>
    <subfield code="a">Niyato, Dusit</subfield>
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    <subfield code="u">Nanyang Technological University, School of Computer Science and Engineering, Singapore</subfield>
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    <subfield code="u">CEA, LETI, Grenoble, France</subfield>
    <subfield code="a">De Domenico, Antonio</subfield>
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    <subfield code="a">Strinati, Emilio Calvanese</subfield>
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    <subfield code="u">University of Technology, School of Electrical and Data Engineering, Sydney, Australia</subfield>
    <subfield code="a">Hoang, Dinh Thai</subfield>
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    <subfield code="a">10.1109/VTCFall.2018.8690608</subfield>
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    <subfield code="a">Optimal Cross Slice Orchestration for 5G Mobile Services</subfield>
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    <subfield code="c">761445</subfield>
    <subfield code="a">5G Mobile Network Architecture for diverse services, use cases, and applications in 5G and beyond</subfield>
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