Journal article Open Access

Artificial Intelligence for Elastic Management and Orchestration of 5G Networks

Gutierrez-Estevez, David; Gramaglia, Marco; De Domenico, Antonio; Dandachi, Ghina; Khatibi, Sina; Tsolkas, Dimitris; Balan, Irina; Garcia-Saavedra, Andres; Elzur, Uri; Wang, Yue


MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="http://www.loc.gov/MARC21/slim">
  <leader>00000nam##2200000uu#4500</leader>
  <controlfield tag="005">20200120170639.0</controlfield>
  <datafield tag="500" ind1=" " ind2=" ">
    <subfield code="a">© 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.</subfield>
  </datafield>
  <controlfield tag="001">3266981</controlfield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">University Carlos III of Madrid</subfield>
    <subfield code="a">Gramaglia, Marco</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">CEA Leti France</subfield>
    <subfield code="a">De Domenico, Antonio</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">CEA Leti France</subfield>
    <subfield code="a">Dandachi, Ghina</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Nomor Research Germany</subfield>
    <subfield code="a">Khatibi, Sina</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Mobics Greece</subfield>
    <subfield code="a">Tsolkas, Dimitris</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Nokia  Bell  Labs  German</subfield>
    <subfield code="a">Balan, Irina</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">NEC Research Laboratories Europe GmbH, Germany</subfield>
    <subfield code="a">Garcia-Saavedra, Andres</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Intel HQ</subfield>
    <subfield code="a">Elzur, Uri</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Samsung  Research  UK</subfield>
    <subfield code="a">Wang, Yue</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">952045</subfield>
    <subfield code="z">md5:621f4594572592decd584fbda613d743</subfield>
    <subfield code="u">https://zenodo.org/record/3266981/files/WCM18_elasticity.pdf</subfield>
  </datafield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2019-07-03</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="p">openaire</subfield>
    <subfield code="o">oai:zenodo.org:3266981</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="4">
    <subfield code="p">IEEE Wireless Communications Magazine</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="u">Samsung  Research  UK</subfield>
    <subfield code="a">Gutierrez-Estevez, David</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">Artificial Intelligence for Elastic Management and Orchestration of 5G Networks</subfield>
  </datafield>
  <datafield tag="536" ind1=" " ind2=" ">
    <subfield code="c">761445</subfield>
    <subfield code="a">5G Mobile Network Architecture for diverse services, use cases, and applications in 5G and beyond</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="u">http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode</subfield>
    <subfield code="a">Creative Commons Attribution Non Commercial No Derivatives 4.0 International</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="7">
    <subfield code="a">cc-by</subfield>
    <subfield code="2">opendefinition.org</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">&lt;p&gt;The emergence of 5G enables a broad set of diversified and heterogeneous services with complex and potentially conflicting demands. For networks to be able to satisfy those needs, a flexible, adaptable, and programmable architecture based on network slicing is being proposed. Moreover, a softwarization and cloudification of the communications networks is required, where network functions (NFs) are being transformed from programs running on dedicated hardware platforms to programs running over a shared pool of computational and communication resources. This architectural framework allows the introduction of resource elasticity as a key means to make an efficient use of the computational resources of 5G systems, but adds challenges related to resource sharing and efficiency. In this paper, we propose Artificial Intelligence (AI) as a built-in architectural feature that allows the exploitation of the resource elasticity of a 5G network. Building on the work of the recently formed Experiential Network Intelligence (ENI) industry specification group of the European Telecommunications Standards Institute (ETSI) to embed an AI engine in the network, we describe a novel taxonomy for learning mechanisms that target exploiting the elasticity of the network as well as three different resource elastic use cases leveraging AI. This work describes the basis of a use case recently approved at ETSI ENI.&lt;/p&gt;</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="n">doi</subfield>
    <subfield code="i">isVersionOf</subfield>
    <subfield code="a">10.5281/zenodo.3266980</subfield>
  </datafield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.5281/zenodo.3266981</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">publication</subfield>
    <subfield code="b">article</subfield>
  </datafield>
</record>
334
187
views
downloads
All versions This version
Views 334334
Downloads 187187
Data volume 178.0 MB178.0 MB
Unique views 307307
Unique downloads 164164

Share

Cite as