On-Demand Routing in LEO Mega-Constellations with Dynamic Laser Inter-Satellite Links

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Bhattacharjee, Dhiraj, Madoery, Pablo G., Chaudhry, Aizaz U., Yanikomeroglu, Halim, Kurt, Gunes Karabulut, Hu, Peng, Ahmed, Khaled, Martel, Stephane
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866917683672383488
author Bhattacharjee, Dhiraj
Madoery, Pablo G.
Chaudhry, Aizaz U.
Yanikomeroglu, Halim
Kurt, Gunes Karabulut
Hu, Peng
Ahmed, Khaled
Martel, Stephane
author_facet Bhattacharjee, Dhiraj
Madoery, Pablo G.
Chaudhry, Aizaz U.
Yanikomeroglu, Halim
Kurt, Gunes Karabulut
Hu, Peng
Ahmed, Khaled
Martel, Stephane
contents Low Earth orbit (LEO) satellite mega constellations are beginning to include laser inter-satellite links (LISLs) to extend the Internet to the most remote locations on Earth. Since the process of establishing these links incurs a setup delay on the order of seconds, a static network topology is generally established well in advance, which is then used for the routing calculations. However, this involves keeping links active even when they are not being used to forward traffic, leading to poor energy efficiency. Motivated by technological advances that are gradually decreasing the LISL setup delays, we foresee scenarios where it will be possible to compute routes and establish dynamic LISLs on demand. This will require considering setup delays as penalties that will affect the end-to-end latency. In this paper, we present a nonlinear optimization model that considers these penalties in the cost function and propose three heuristic algorithms that solve the problem in a tractable way. The algorithms establish different trade-offs in terms of performance and computational complexity. We extensively analyze metrics including average latency, route change rate, outage probability, and jitter in Starlink's Phase I version 2 constellation. The results show the benefit of adaptive routing schemes according to the link setup delay. In particular, more complex schemes can decrease the average end-to-end latency in exchange for an increase in execution time. On the other hand, depending on the maximum tolerated latency, it is possible to use less computationally complex schemes which will be more scalable for the satellite mega constellations of the future.
format Preprint
id arxiv_https___arxiv_org_abs_2406_01953
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle On-Demand Routing in LEO Mega-Constellations with Dynamic Laser Inter-Satellite Links
Bhattacharjee, Dhiraj
Madoery, Pablo G.
Chaudhry, Aizaz U.
Yanikomeroglu, Halim
Kurt, Gunes Karabulut
Hu, Peng
Ahmed, Khaled
Martel, Stephane
Networking and Internet Architecture
Low Earth orbit (LEO) satellite mega constellations are beginning to include laser inter-satellite links (LISLs) to extend the Internet to the most remote locations on Earth. Since the process of establishing these links incurs a setup delay on the order of seconds, a static network topology is generally established well in advance, which is then used for the routing calculations. However, this involves keeping links active even when they are not being used to forward traffic, leading to poor energy efficiency. Motivated by technological advances that are gradually decreasing the LISL setup delays, we foresee scenarios where it will be possible to compute routes and establish dynamic LISLs on demand. This will require considering setup delays as penalties that will affect the end-to-end latency. In this paper, we present a nonlinear optimization model that considers these penalties in the cost function and propose three heuristic algorithms that solve the problem in a tractable way. The algorithms establish different trade-offs in terms of performance and computational complexity. We extensively analyze metrics including average latency, route change rate, outage probability, and jitter in Starlink's Phase I version 2 constellation. The results show the benefit of adaptive routing schemes according to the link setup delay. In particular, more complex schemes can decrease the average end-to-end latency in exchange for an increase in execution time. On the other hand, depending on the maximum tolerated latency, it is possible to use less computationally complex schemes which will be more scalable for the satellite mega constellations of the future.
title On-Demand Routing in LEO Mega-Constellations with Dynamic Laser Inter-Satellite Links
topic Networking and Internet Architecture
url https://arxiv.org/abs/2406.01953