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International Conference on Practical Applications of Agents and Multi-Agent Systems

PAAMS 2019: Highlights of Practical Applications of Survivable Agents and Multi-Agent Systems. The PAAMS Collection pp 339–342Cite as

Intelligent Optimization and Machine Learning for 5G Network Control and Management

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1047))

Abstract

The adoption of Software Define Networking (SDN), Network Function Virtualization (NFV) and Machine Learning (ML) will play a key role in the control and management of 5G network slices to fulfill the specific requirements of application/services and the new requirements of fifth generation (5G) networks. In this research, we propose a distributed architecture to perform network analytics applying ML techniques in the context of network operation and control of 5G networks.

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References

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Author information

Authors and Affiliations

  1. Department of Network Engineering, Universitat Politècnica de Catalunya (UPC), Barcelona, Spain

    Carlos Hernández-Chulde & Cristina Cervelló-Pastor

Authors
  1. Carlos Hernández-Chulde
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  2. Cristina Cervelló-Pastor
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Corresponding author

Correspondence to Carlos Hernández-Chulde .

Editor information

Editors and Affiliations

  1. University of Salamanca, Salamanca, Spain

    Fernando De La Prieta

  2. University of Salamanca, Salamanca, Spain

    Alfonso González-Briones

  3. Poznań University of Technology, Poznan, Poland

    Pawel Pawleski

  4. HES-SO Valais Wallis, Sierre, Switzerland

    Davide Calvaresi

  5. Polytechnic University of Valencia, Valencia, Spain

    Elena Del Val

  6. National Laboratory for Energy and Geology, Amadora, Portugal

    Fernando Lopes

  7. Polytechnic University of Valencia, Valencia, Spain

    Vicente Julian

  8. Tecnalia Research & Innovation, Derio, Spain

    Eneko Osaba

  9. University of Murcia, Murcia, Spain

    Ramón Sánchez-Iborra

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Cite this paper

Hernández-Chulde, C., Cervelló-Pastor, C. (2019). Intelligent Optimization and Machine Learning for 5G Network Control and Management. In: De La Prieta, F., et al. Highlights of Practical Applications of Survivable Agents and Multi-Agent Systems. The PAAMS Collection. PAAMS 2019. Communications in Computer and Information Science, vol 1047. Springer, Cham. https://doi.org/10.1007/978-3-030-24299-2_33

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  • DOI: https://doi.org/10.1007/978-3-030-24299-2_33

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24298-5

  • Online ISBN: 978-3-030-24299-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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