Modeling and Analysis of End-to-End LEO Satellite-Aided Shore-to-Ship Communications
Low Earth orbit (LEO) satellites are becoming an increasingly promising solution for enhancing maritime communications and introducing a new avenue for signal transmissions from shore-to-ship. The traditional performance modeling for satellite networks based on a grid of circular orbit geometries do...
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Published in | 2023 IEEE/CIC International Conference on Communications in China (ICCC) pp. 1 - 6 |
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Main Authors | , , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
10.08.2023
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Subjects | |
Online Access | Get full text |
DOI | 10.1109/ICCC57788.2023.10233476 |
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Abstract | Low Earth orbit (LEO) satellites are becoming an increasingly promising solution for enhancing maritime communications and introducing a new avenue for signal transmissions from shore-to-ship. The traditional performance modeling for satellite networks based on a grid of circular orbit geometries does not apply to large-scale LEO satellite communication networks, limiting analytical insights. To address this issue, this paper proposes a tractable theoretical framework for an LEO satellite-aided shore-to-ship communication network (LEO-SSCN) that models the distribution of LEO satellites as a binomial point process (BPP) uniformly distributed around the Earth. The framework aims to obtain the end-to-end signal transmission performance by considering signal transmissions from the network service center to the destination ship via either a marine link or a space link, which is subject to Rician or Shadowed Rician fading, respectively. Since the distance from the serving satellite to the destination ship is intractable, we first propose a distance approximation approach. Then, based on the approximation, we employ stochastic geometry to derive the analytical expressions of the end-to-end transmission success probability as a function of the Laplace transform from interfering satellites' power. Numerical results verify the accuracy of our analysis. This framework paves the way for more reliable integration of the LEO satellites and the existing maritime communication network. |
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AbstractList | Low Earth orbit (LEO) satellites are becoming an increasingly promising solution for enhancing maritime communications and introducing a new avenue for signal transmissions from shore-to-ship. The traditional performance modeling for satellite networks based on a grid of circular orbit geometries does not apply to large-scale LEO satellite communication networks, limiting analytical insights. To address this issue, this paper proposes a tractable theoretical framework for an LEO satellite-aided shore-to-ship communication network (LEO-SSCN) that models the distribution of LEO satellites as a binomial point process (BPP) uniformly distributed around the Earth. The framework aims to obtain the end-to-end signal transmission performance by considering signal transmissions from the network service center to the destination ship via either a marine link or a space link, which is subject to Rician or Shadowed Rician fading, respectively. Since the distance from the serving satellite to the destination ship is intractable, we first propose a distance approximation approach. Then, based on the approximation, we employ stochastic geometry to derive the analytical expressions of the end-to-end transmission success probability as a function of the Laplace transform from interfering satellites' power. Numerical results verify the accuracy of our analysis. This framework paves the way for more reliable integration of the LEO satellites and the existing maritime communication network. |
Author | Lu, Xiao Lin, Bin Wei, Haichao Hu, Xu Wang, Ping Qi, Shuang |
Author_xml | – sequence: 1 givenname: Xu surname: Hu fullname: Hu, Xu organization: Dalian Maritime University,Information Science and Technology College,Dalian,China – sequence: 2 givenname: Bin surname: Lin fullname: Lin, Bin email: binlin@dlmu.edu.cn organization: Dalian Maritime University,Information Science and Technology College,Dalian,China – sequence: 3 givenname: Ping surname: Wang fullname: Wang, Ping organization: York University,Department of Electrical Engineering and Computer Science,Toronto,Canada – sequence: 4 givenname: Xiao surname: Lu fullname: Lu, Xiao organization: Ericsson,Research and Development,Ottawa,Canada – sequence: 5 givenname: Haichao surname: Wei fullname: Wei, Haichao organization: Dalian Maritime University,Information Science and Technology College,Dalian,China – sequence: 6 givenname: Shuang surname: Qi fullname: Qi, Shuang organization: Dalian Maritime University,Information Science and Technology College,Dalian,China |
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Snippet | Low Earth orbit (LEO) satellites are becoming an increasingly promising solution for enhancing maritime communications and introducing a new avenue for signal... |
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SubjectTerms | Analytical models end-to-end transmission success probability Geometry Laplace equations Low earth orbit satellites Rician channels Satellites shore-to-ship communications Space vehicles stochastic geometry |
Title | Modeling and Analysis of End-to-End LEO Satellite-Aided Shore-to-Ship Communications |
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