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Ben Yahia, O., Garroussi, Z., Sanso, B., Frigon, J.-F., Martel, S., Lesage-Landry, A., & Karabulut Kurt, G. (2024). A Scalable Architecture for Future Regenerative Satellite Payloads. IEEE Wireless Communications Letters, 1-1. Lien externe
Jeske, M., Sanso, B., Aloise, D., & Nascimento, M. C.V. (2024). Received Signal Strength Indicator Prediction for Mesh Networks in a Real Urban Environment Using Machine Learning. IEEE Access, 17 pages. Lien externe
Yahia, O. B., Garroussi, Z., Bélanger, O., Sanso, B., Frigon, J.-F., Martel, S., Lesage-Landry, A., & Karabulut Kurt, G. (2024). Evolution of High-Throughput Satellite Systems: A Vision of Programmable Regenerative Payload. IEEE Communications Surveys & Tutorials, 3450292 (34 pages). Lien externe
Ben Yahia, O., Garroussi, Z., Sanso, B., Frigon, J.-F., Martel, S., Lesage-Landry, A., & Karabulut Kurt, G. (2024). A scalable architecture for future regenerative satellite payloads. (Rapport technique n° G-2024-40). Lien externe
Mellah, H., Payette-Toupin, É., Lespérance, R., Kohlert, S., & Sanso, B. (2024). On global fragmentation metrics as proxy for network blocking : correlation, detection and prediction. (Rapport technique n° G-2024-57). Lien externe