A browser-side view of starlink connectivity

Kassem, Mohamed M.; Perino, Diego; Sastry, Nishanth

doi:10.1145/3517745.3561457

Cited by 36 publications

(17 citation statements)

References 33 publications

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“…The performance of these mega-constellations is relatively good, as shown in [18,13]. However, congestion has become a big issue over Starlink obliging the operator to throttle customers connection speed below a given amount of data, which is at the opposite of their initial user contract.…”

Section: Advances and Challenges In Leo Constellationsmentioning

confidence: 99%

Rethinking LEO constellations routing

Grislain,

Auddino,

Barraqué

et al. 2024

Satell Commun Network

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SummaryThis study investigates the unsplittable multicommodity flow (UMCF) as a routing algorithm for LEO constellations. Usually, LEO routing schemes enable the Floyd–Warshall algorithm (shortest path) to minimize the end‐to‐end latency of the flows crossing the constellation. We propose to solve the UMCF problem associated with the system as a solution for routing over LEO. We use a heuristic algorithm based on randomized rounding known in the optimization literature to efficiently solve the UMCF problem. Furthermore, we explore the impact of choosing the first/last hop before entering/exiting the constellation. Using network simulation over Telesat constellation, we show that UMCF maximizes the end‐to‐end links usage, providing better routing while minimizing the delay and the congestion level, which is an issue today over new megaconstellations.

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Section: Advances and Challenges In Leo Constellationsmentioning

confidence: 99%

Rethinking LEO constellations routing

Grislain,

Auddino,

Barraqué

et al. 2024

Satell Commun Network

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“…More broadly, the existing literature that relates to our study can be categorized into two principal groups. The first group comprises measurement-focused studies, which examine network performance in terms of throughput and latency as perceived by users [8], [10], [11], [18], [20]. Typically, these studies do not gather data with the level of timing detail and accuracy necessary for in-depth inference about system characteristics.…”

Section: Related Workmentioning

confidence: 99%

Fine-Grained Starlink Throughput Variation Examined With State-Transition Modeling

Garcia,

Sundberg,

Brunstrom

2024

2024 19th Wireless on-Demand Network Systems and Services Conference (WONS)

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Leveraging a data set of almost half a billion packets with high-precision packet times and sizes, we process it to extract characteristics of the bursts emitted over Starlink's Ethernet interface. The structure of these bursts directly reflect the physical layer receipt of OFDMA frames on the satellite link. We study these bursts by analyzing their rates, and by proxy the transition between different physical layer rates. The results highlight that there is definitive structure in the transition behavior, and we note specific behaviors such as particular transition steps associated with rate switching, and that rate switching occurs mainly to neighboring rates. We also study the joint burst rate and burst duration transitions, noting that transitions occur mainly within the same rate, and that changes in burst duration are often performed with an intermediate short burst in-between. Finally, we examine the configurations of the three factors burst rate, burst duration, and inter-burst silent time, which together determine the effective throughput of a Starlink connection.

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“…The orbit altitude of the LEO satellite network ranges from 160 km to 2000 km. Compared with satellites deployed in geostationary orbit (GEO), the LSN obtains a better transmission rate and lower delay under less energy consumption [ 1 , 2 , 3 ]. For example, the polar-orbiting constellation, OneWeb, consists of 720 satellites with an orbital altitude of 1200 km.…”

Section: Introductionmentioning

confidence: 99%

Load-Balancing Routing for LEO Satellite Network with Distributed Hops-Based Back-Pressure Strategy

Han,

Xiong,

2023

Sensors

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With the expansion of user scale in LEO satellite networks, unbalanced regional load and bursty network traffic lead to the problem of load disequilibrium. A distributed hops-based back-pressure (DHBP) routing is proposed. DHBP theoretically derives a fast solution for the minimum end-to-end propagation hops between satellite nodes in inclined-orbit LEO satellite networks; hence, link weights are determined based on remaining hops between the next hop and destination satellites. In order to control the number of available retransmission paths, the permitted propagation region is restricted to a rectangular region consisting of source-destination nodes to reduce the propagation cost. Finally, DHBP is designed distributedly, to realize a dynamic selection of the shortest link with low congestion and balanced traffic distribution without obtaining the whole network topology. Network simulation results demonstrate that DHBP has higher throughput and lower delay under high load conditions compared with state-of-the-art routing protocols.

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A browser-side view of starlink connectivity

Cited by 36 publications

References 33 publications

Rethinking LEO constellations routing

Rethinking LEO constellations routing

Fine-Grained Starlink Throughput Variation Examined With State-Transition Modeling

Load-Balancing Routing for LEO Satellite Network with Distributed Hops-Based Back-Pressure Strategy

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