Search Results for author: Remous-Aris Koutsiamanis

Found 2 papers, 2 papers with code

Towards Energy-Aware Federated Traffic Prediction for Cellular Networks

1 code implementation • 19 Sep 2023 • Vasileios Perifanis, Nikolaos Pavlidis, Selim F. Yilmaz, Francesc Wilhelmi, Elia Guerra, Marco Miozzo, Pavlos S. Efraimidis, Paolo Dini, Remous-Aris Koutsiamanis

Cellular traffic prediction is a crucial activity for optimizing networks in fifth-generation (5G) networks and beyond, as accurate forecasting is essential for intelligent network design, resource allocation and anomaly mitigation.

Federated Learning Traffic Prediction

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Code

Federated Learning for 5G Base Station Traffic Forecasting

1 code implementation • 28 Nov 2022 • Vasileios Perifanis, Nikolaos Pavlidis, Remous-Aris Koutsiamanis, Pavlos S. Efraimidis

In this work, we investigate the efficacy of federated learning applied to raw base station LTE data for time-series forecasting.

Federated Learning Management +2

Paper
Code

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