arXiv:2606.29324v1 Announce Type: new Abstract: Low-Earth orbit (LEO) satellite Internet has become an indispensable infrastructure that provide growing coverage for global users. Despite extensive measurement efforts, the principles underlying region-level performance characteristics remain insufficiently understood, limiting the ability to identify region-specific latency signatures under dynamic network conditions. In this paper, we formulate the problem of region-level latency characterization using Starlink round-trip time (RTT) measurements from the public LENS dataset. We then propose a
The proliferation of LEO satellite internet services like Starlink, coupled with advancements in data collection and machine learning, makes region-level performance analysis critically relevant now.
Understanding regional performance characteristics of LEO satellite internet is vital for optimizing network deployment, ensuring reliable connectivity, and identifying potential vulnerabilities or disparities in service quality.
The ability to decipher region-level signatures from latency measurements will enable more granular and adaptive network management, potentially leading to more efficient and resilient global internet infrastructure.
- · LEO satellite internet providers
- · Network analytics companies
- · Regions with improving connectivity
- · AI/ML researchers
- · Regions receiving suboptimal service
- · Legacy terrestrial internet providers (in some areas)
Improved understanding and optimization of LEO satellite network performance at a regional level.
Potential for targeted infrastructure upgrades or dynamic routing adjustments to address performance disparities.
Enhanced resilience and accessibility of internet services, particularly in remote or underserved areas, driving digital inclusion.
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Read at arXiv cs.LG