Distributed Probabilistic Congestion Control in LEO Satellite Networks

Page, Pranav S.; Bhargao, Kaustubh S.; V., Baviskar, Hrishikesh; Kasbekar, Gaurav S.

doi:10.1109/comsnets56262.2023.10041374

Cited by 3 publications

(1 citation statement)

References 26 publications

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“…However, this approach might also lead to the congestion of links in highlatitude regions and increased queuing delays. To address this issue, Page et al [35] proposed a distributed probabilistic congestion control method. It utilized periodic link state exchanges between satellites to obtain the real-time congestion information of adjacent nodes.…”

Section: Virtual Topology Satellite Routingmentioning

confidence: 99%

A Routing Strategy Based Genetic Algorithm Assisted by Ground Access Optimization for LEO Satellite Constellations

Zhang,

Lv,

et al. 2023

Electronics

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Large-scale low Earth orbit satellite networks (LSNs) have been attracting increasing attention in recent years. These systems offer advantages such as low latency, high bandwidth communication, and all terrain coverage. However, the main challenges faced by LSNs is the calculation and maintenance of routing strategies. This is primarily due to the large scale and dynamic network topology of LSN constellations. As the number of satellites in constellations continues to rise, the feasibility of the centralized routing strategy, which calculates all shortest routes between every satellite, becomes increasingly limited by space and time constraints. This approach is also not suitable for the Walker Delta formation, which is becoming more popular for giant constellations. In order to find an effective routing strategy, this paper defines the satellite routing problem as a mixed linear integer programming problem (MILP), proposes a routing strategy based on a genetic algorithm (GA), and comprehensively considers the efficiency of source or destination ground stations to access satellite constellations. The routing strategy integrates ground station ingress and exit policies and inter-satellite packet forwarding policies and reduces the cost of routing decisions. The experimental results show that, compared with the traditional satellite routing algorithm, the proposed routing strategy has better link capacity utilization, a lower round trip communication time, and an improved traffic reception rate.

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Section: Virtual Topology Satellite Routingmentioning

confidence: 99%

A Routing Strategy Based Genetic Algorithm Assisted by Ground Access Optimization for LEO Satellite Constellations

Zhang,

Lv,

et al. 2023

Electronics

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Satellite Computing: Vision and Challenges

Wang

2023

IEEE Internet Things J.

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A Global Perspective on the Past, Present, and Future of Video Streaming over Starlink

Izhikevich,

Enghardt,

Huang

et al. 2024

Proc. ACM Meas. Anal. Comput. Syst.

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This study presents the first global analysis of on-demand video streaming over Low Earth Orbit (LEO) satellite networks, using data from over one million households across 85 countries. We highlight Starlink's role as a major LEO provider, enhancing connectivity in underserved regions. Our findings reveal that while overall video quality on Starlink matches that of traditional networks, the inherent variability in LEO conditions---such as throughput fluctuations and packet loss---leads to an increase in bitrate switches and rebuffers. To further improve the quality of experience for the LEO community, we manipulate existing congestion control and adaptive bitrate streaming algorithms using simulation and real A/B tests deployed on over one million households. Our results underscore the need for video streaming and congestion control algorithms to adapt to rapidly evolving network landscapes, ensuring high-quality service across diverse and dynamic network types.

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Distributed Probabilistic Congestion Control in LEO Satellite Networks

Cited by 3 publications

References 26 publications

A Routing Strategy Based Genetic Algorithm Assisted by Ground Access Optimization for LEO Satellite Constellations

A Routing Strategy Based Genetic Algorithm Assisted by Ground Access Optimization for LEO Satellite Constellations

Satellite Computing: Vision and Challenges

A Global Perspective on the Past, Present, and Future of Video Streaming over Starlink

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