collaborators

8 papers

eess.SP2026

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…

eess.SP2026

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…

cs.NI2026

Energy Efficient Traffic Scheduling For Optical LEO Satellite Downlinks

Ethan Fettes, Pablo G. Madoery, Halim Yanikomeroglu +3

In recent years, the number of satellites in orbit has increased rapidly, with megaconstellations like Starlink providing near-global, delay-sensitive communication services. Howev…

cs.NI2026

Online Convex Optimization for On-Board Routing in High-Throughput Satellites

Olivier Bélanger, Jean-Luc Lupien, Olfa Ben Yahia +3

The rise in low Earth orbit (LEO) satellite Internet services has led to increasing demand, often exceeding available data rates and compromising the quality of service. While depl…

eess.SP2025

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…

cs.NI2025

DSROQ: Dynamic Scheduling and Routing for QoE Management in LEO Satellite Networks

Dhiraj Bhattacharjee, Pablo G. Madoery, Abhishek Naik +4

The modern Internet supports diverse applications with heterogeneous quality of service (QoS) requirements. Low Earth orbit (LEO) satellite constellations offer a promising solutio…