Project publication · Computer Networks
Summary
The article presents bLEO, an eBPF-based emulator for studying large-scale LEO satellite networks with changing link conditions.
Main contribution
The main contribution is to bring an efficient representation of satellites, ground stations and terminals into Linux emulation, updating delays and connectivity directly in the kernel datapath.
Resultados y alcance
Los experimentos confirman que bLEO puede representar constelaciones amplias y actualizar enlaces dinámicos con una sobrecarga contenida gracias a eBPF. La validación reproduce retardos, cambios de ruta y conectividad orbital, aunque la fidelidad final depende de los modelos de enlace y del hardware utilizado por el emulador.
Link with BoND1
BoND1 needs evaluation tools able to represent dynamic non-cellular connectivity. This work provides an experimental basis for analyzing LEO constellations as part of B6G and IoT scenarios, with emphasis on scalability and reproducibility.
Project publication · Computer Networks
Summary
The paper presents bLEO, an eBPF-based emulator for studying large-scale LEO satellite networks with changing link conditions.
Bibliometric indicators
- JCR area
- Engineering, Electrical & Electronic
- JCR year
- 2025
- Scholar query
- 26 October 2026
Main contribution
The main contribution is to move an efficient representation of satellites, ground stations and terminals to the Linux emulation plane, updating delays and connectivity directly in the kernel datapath.
Results and scope
Experiments confirm that bLEO can represent large constellations and update dynamic links with limited overhead thanks to eBPF. The validation reproduces delays, path changes and orbital connectivity, although the final fidelity depends on the link models and the hardware used by the emulator.
Link with BoND1
BoND1 needs assessment tools capable of representing dynamic non-cellular connectivity. This work provides an experimental basis to analyze LEO constellations as part of B6G and IoT scenarios, with emphasis on scalability and reproducibility.