318 citations · 674 across the 47 of their papers we have counts for
3 papers · 1 filter
A Distributed Intelligence Architecture for B5G Network Automation
Sayantini Majumdar, Riccardo Trivisonno, Georg Carle
The management of networks is automated by closed loops. Concurrent closed loops aiming for individual optimization cause conflicts which, left unresolved, leads to significant deg…
Decorrelating Adversarial Nets for Clustering Mobile Network Data
Marton Kajo, Janik Schnellbach, Stephen S. Mwanje +1
Deep learning will play a crucial role in enabling cognitive automation for the mobile networks of the future. Deep clustering, a subset of deep learning, could be a valuable tool…
Neural Network-based Quantization for Network Automation
Marton Kajo, Stephen S. Mwanje, Benedek Schultz +1
Deep Learning methods have been adopted in mobile networks, especially for network management automation where they provide means for advanced machine cognition. Deep learning meth…