Intelligent optimization and machine learning for 5G network control and management
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hdl:2117/328676
Document typeConference report
Defense date2019
PublisherSpringer
Rights accessRestricted access - publisher's policy
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.
CitationHernández, C.; Cervelló-Pastor, C. Intelligent optimization and machine learning for 5G network control and management. A: International Conference on Practical Applications of Agents and Multi-Agent Systems International Conference. "Highlights of Practical Applications of Survivable Agents and Multi-Agent Systems. The PAAMS Collection. International Workshops of PAAMS 2019, Ávila, Spain, June 26–28, 2019, Proceedings". Berlín: Springer, 2019, p. 339-342. ISBN 978-3-030-24298-5. DOI 10.1007/978-3-030-24299-2_33.
ISBN978-3-030-24298-5
Publisher versionhttps://link.springer.com/chapter/10.1007/978-3-030-24299-2_33
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