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Deep RAN: A Scalable Data-driven platform to Detect Anomalies in Live
  Cellular Network Using Recurrent Convolutional Neural Network

Deep RAN: A Scalable Data-driven platform to Detect Anomalies in Live Cellular Network Using Recurrent Convolutional Neural Network

10 November 2019
Mohammad Rasoul Tanhatalab
H. Yousefi
H. Hosseini
Mostafa Mofarah Bonab
Vahid Fakharian
Hadis Abarghouei
ArXivPDFHTML

Papers citing "Deep RAN: A Scalable Data-driven platform to Detect Anomalies in Live Cellular Network Using Recurrent Convolutional Neural Network"

2 / 2 papers shown
Title
Self-Supervised Transformer Architecture for Change Detection in Radio
  Access Networks
Self-Supervised Transformer Architecture for Change Detection in Radio Access Networks
Igor Kozlov
D. Rivkin
Wei-Di Chang
Di Wu
Xue Liu
Gregory Dudek
AI4TS
13
1
0
03 Feb 2023
Deep Q-Learning for Self-Organizing Networks Fault Management and Radio
  Performance Improvement
Deep Q-Learning for Self-Organizing Networks Fault Management and Radio Performance Improvement
Faris B. Mismar
B. Evans
46
29
0
10 Jul 2017
1