4 papers
Is Forecasting Accuracy Enough? A Comparative Study of Traffic Forecasters for Beam-Hopping LEO Satellite Networks
Yekta Demirci, Guillaume Mantelet, Stéphane Martel +2
We evaluate diverse models for user traffic demand forecasting in Low Earth Orbit (LEO) satellite networks with Beam Hopping (BH), questioning whether predictive accuracy is the ri…
The Impact of Demand Forecasting on Delay and Jitter in DVB-Based Beam-Hopping LEO Networks
Yekta Demirci, Guillaume Mantelet, Stéphane Martel +2
In LEO satellite networks utilizing beam hopping (BH), resource allocation plans must be committed well in advance. This inherent operational delay necessitates predicting future u…
Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks
Yekta Demirci, Guillaume Mantelet, Stephane Martel +2
In Low Earth Orbit (LEO) satellite networks, Beam Hopping (BH) technology enables the efficient utilization of limited radio resources by adapting to varying user demands and link…
Forecasting Self-Similar User Traffic Demand Using Transformers in LEO Satellite Networks
Yekta Demirci, Guillaume Mantelet, Stéphane Martel +2
In this paper, we propose the use of a transformer-based model to address the need for forecasting user traffic demand in the next generation Low Earth Orbit (LEO) satellite networ…