publication . Conference object . Other literature type . 2019

Alfa-OMC: cost-aware deep learning for mobile network resource orchestration

Bega, Dario; Gramaglia, Marco; Fiore, Marco; Banchs, Albert; Costa-Perez, Xavier;
Open Access
  • Published: 29 Apr 2019
Abstract
Orchestrating resources in 5G and beyond-5G systems will be substantially more complex than it used to be in previous generations of mobile networks. In order to take full advantage of the unprecedented possibilities for dynamic reconfiguration offered by network softwarization and virtualization technologies, operators have to embed intelligence in network resource orchestrators. We advocate that the automated, data-driven decisions taken by orchestrators must be guided by considerations on the cost that such decisions involve for the operator. We show that such a strategy can be implemented via a deep learning architecture that forecasts capacity rather than p...
Funded by
EC| 5G-MoNArch
Project
5G-MoNArch
5G Mobile Network Architecture for diverse services, use cases, and applications in 5G and beyond
  • Funder: European Commission (EC)
  • Project Code: 761445
  • Funding stream: H2020 | RIA
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Conference object . 2019
Provider: ZENODO
Zenodo
Other literature type . 2019
Provider: Datacite
Zenodo
Other literature type . 2019
Provider: Datacite
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