A Machine Learning Framework for Sleeping Cell Detection in a Smart-City IoT Telecommunications Infrastructure

A Machine Learning Framework for Sleeping Cell Detection in a Smart-City IoT Telecommunications Infrastructure

The smooth operation of largely deployed Internet of Things (IoT) applications will depend on, among other things, effective infrastructure failure detection. Access failures in wireless network Base Stations (BSs) produce a phenomenon called “sleeping cells”, which can render...

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Bibliographic Details
Main Authors: Orestes G. Manzanilla-Salazar, Filippo Malandra, Hakim Mellah, Constant Wette, Brunilde Sanso
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Failure detection
IoT
M2M communications
machine learning
sleeping cells
smart cities
Online Access:https://ieeexplore.ieee.org/document/9046847/

Internet

https://ieeexplore.ieee.org/document/9046847/

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