Anomaly detection in multi-tiered cellular networks using LSTM and 1D CNN

Anomaly detection in multi-tiered cellular networks using LSTM and 1D CNN

Abstract Self-organizing networks (SONs) are considered as one of the key features for automation of network management in new generation of mobile communications. The upcoming fifth-generation mobile networks and beyond are likely to offer new advancements for SON solutions. In SON concept, self-he...

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Bibliographic Details
Main Authors: Hasan Tahsin Oğuz, Aykut Kalaycıoğlu
Format: Article
Language:English
Published: SpringerOpen 2022-10-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Cell outage detection
Self-organizing networks
LSTM
Femtocells
1D CNN
Deep learning
Online Access:https://doi.org/10.1186/s13638-022-02183-7

Internet

https://doi.org/10.1186/s13638-022-02183-7

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