Application of cognitive capabilities in control and management planes of 5G networks
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Published
18-02-2017
Begoña Blanco
Jose Oscar Fajardo
Fidel Liberal
Ianire Taboada
Abstract
Next generation network management is envisioned to address new challenging requirements through the application of emerging enabling technologies. In such a complex management scenario, the use of artificial intelligence in the form of cognitive cycles can become a powerful and differentiating tool to enhance system overall performance. This work presents a cloud-based multi-level cognitive cycle to support control and management tasks of 5G architecture. This innovative model combines both centralised and distributed cognitive schemes at decision-making modules in different levels of the network architecture, fostering the interaction between the edge and the cloud environment.
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Keywords
5G, cognitive cycle, glocal, blurring edge
Issue
Section
Ale Arrunta
(C) UPV/EHU Press
CC-BY-NC-SA