AUTONOMAS FAULT DIAGNOSIS SYSTEM FOR CELLULAR NETWORKS BASED ON HIDDEN MARKOV MODEL

@inproceedings{AbdelMoez2015AUTONOMASFD,
  title={AUTONOMAS FAULT DIAGNOSIS SYSTEM FOR CELLULAR NETWORKS BASED ON HIDDEN MARKOV MODEL},
  author={Omar AbdelMoez and Asem M. Ali and T. Abdelhamid},
  year={2015}
}
Automated diagnosis and Troubleshooting (TS) in Radio Access Networks (RAN) of cellularsystems are basic management tasks, which are required to guarantee efficient use of networkresources. In this paper, we investigate the usage of machine learning techniques: stochasticmethods and discriminant analysis for automating these TS tasks. Our proposed framework is basedon Hidden Markov Model (HMM), Principle Component Analysis (PCA) and Fisher LinearDiscriminant (FLD) techniques. In a learning… Expand

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