LEOCraft: Towards Designing Performant LEO Networks
summary
LEOCraft is a modular, flow‑level LEO network simulator and visualization that computes throughput, coverage, latency and hop counts and renders topology changes at nanosecond granularity. It scales to 83K satellites and 1K ground stations, uses domain‑aware heuristics to cut the search space, and optimizes constellation design about 5× faster than black‑box methods. The authors evaluate four optimizers and find variable neighborhood search consistently best, validate findings across traffic matrices, and publish code on GitHub.
AI-written summary · about
chapters (12)
- 0:00LEO satellite networks intro
- 1:22LEO network performance challenges
- 3:08Introducing LEOCraft framework
- 5:19LEO constellation design problem
- 6:41Altitude impact on performance
- 8:06Inclination and elevation effects
- 9:30Orbital inclination role
- 10:35Topological parameters in design
- 12:19Reducing search space
- 13:44Optimization techniques
- 14:48Multi-shell constellations
- 15:29Conclusion and Q&A
related talks
12mToward Loosely Coupled Orchestration for the LEO Satellite Edge
25mLEO Satellite Reception and Doppler-Shift Correction
20mPhysical Network Design at Scale
13mNB-IoT over LEO: From 3GPP Specs to Real-World Implementation
30mLoRaWAN From Space
32mAccelerate space traffic management in the cloud
15mICARUS: Attacking low Earth orbit satellite networks
16mStarryNet: Empowering Researchers to Evaluate Futuristic Integrated Space and Terrestrial
