8 citations · 8 across the 3 of their papers we have counts for
4 papers
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…
RAN Cognitive Controller
Anubhab Banerjee, Stephen S. Mwanje, Georg Carle
Cognitive Autonomous Networks (CAN) deploys learning based Cognitive Functions (CF) instead of conventional rule-based SON Functions (SF) as Network Automation Functions (NAF) to i…
On the Necessity and Design of Coordination Mechanism for Cognitive Autonomous Networks
Anubhab Banerjee, Stephen S. Mwanje, Georg Carle
Cognitive Autonomous Networks (CAN) are promoted to advance Self Organizing Network (SON), replacing rule-based SON Functions (SFs) with Cognitive Functions (CFs), which learn opti…