12 citations · 31 across the 15 of their papers we have counts for
5 papers · 1 filter
Deep Learning on Graphs for Mobile Network Topology Generation
Felix Nannesson Meli, Johan Tell, Shirwan Piroti +2
Mobile networks consist of interconnected radio nodes strategically positioned across various geographical regions to provide connectivity services. The set of relations between th…
Mobile Network Configuration Recommendation using Deep Generative Graph Neural Network
Shirwan Piroti, Ashima Chawla, Tahar Zanouda
There are vast number of configurable parameters in a Radio Access Telecom Network. A significant amount of these parameters is configured by Radio Node or cell based on their depl…
Context-Aware Mobile Network Performance Prediction Using Network & Remote Sensing Data
Ali Shibli, Tahar Zanouda
Accurate estimation of Network Performance is crucial for several tasks in telecom networks. Telecom networks regularly serve a vast number of radio nodes. Each radio node provides…
Fault Detection in Mobile Networks Using Diffusion Models
Mohamad Nabeel, Doumitrou Daniil Nimara, Tahar Zanouda
In today's hyper-connected world, ensuring the reliability of telecom networks becomes increasingly crucial. Telecom networks encompass numerous underlying and intertwined software…
Fault Detection in Telecom Networks using Bi-level Federated Graph Neural Networks
R. Bourgerie, T. Zanouda
5G and Beyond Networks become increasingly complex and heterogeneous, with diversified and high requirements from a wide variety of emerging applications. The complexity and divers…