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Forecasting Self-Similar User Traffic Demand Using Transformers in LEO Satellite Networks

Yekta Demirci, Guillaume Mantelet, Stéphane Martel, Jean-François Frigon and Gunes Karabulut Kurt

Paper (2025)

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Department: Department of Electrical Engineering
Research Center: POLY-GRAMES - Advanced Research Centre in Microwaves and Space Electronics
Funders: Consortium de Recherche et d’innovation en Aérospatiale au Québec (CRIAQ), NSERC
ISBN: 9798331539016
PolyPublie URL: https://publications.polymtl.ca/70489/
Conference Title: International Conference on Wireless for Space and Extreme Environments (WiSEE 2025)
Conference Location: Halifax, NS, Canada
Conference Date(s): 2025-10-14 - 2025-10-16
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/wisee57913.2025.11229871
Official URL: https://doi.org/10.1109/wisee57913.2025.11229871
Date Deposited: 09 Dec 2025 15:53
Last Modified: 09 Dec 2025 15:58
Cite in APA 7: Demirci, Y., Mantelet, G., Martel, S., Frigon, J.-F., & Karabulut Kurt, G. (2025, October). Forecasting Self-Similar User Traffic Demand Using Transformers in LEO Satellite Networks [Paper]. International Conference on Wireless for Space and Extreme Environments (WiSEE 2025), Halifax, NS, Canada (6 pages). https://doi.org/10.1109/wisee57913.2025.11229871

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