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Integrated Scheduling Algorithm Based on Matching Game Theory in LEO Satellite Networks.

Yuan Xing1, Guofeng Zhao1, Zhenzhen Han2

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This study introduces an integrated scheduling algorithm (ISA) for low-Earth orbit (LEO) satellite networks. The novel algorithm optimizes wired and wireless time slots, significantly reducing communication delays for time-sensitive traffic.

Keywords:
LEO satellite networksdeterministic communicationintegrated schedulingmatching game theorytime-sensitive traffic

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Area of Science:

  • Space-terrestrial integrated networks
  • Satellite communication systems

Background:

  • Low-Earth orbit (LEO) satellite networks offer flexible, low-delay communication for time-sensitive traffic.
  • Inconsistent transmission rates between intra-satellite wired and inter-satellite wireless links cause unstable delays, challenging deterministic communication.

Purpose of the Study:

  • To address unstable delays in LEO satellite networks.
  • To develop an algorithm ensuring deterministic communication for time-sensitive traffic.

Main Methods:

  • Formulated a theoretical model to quantify the impact of integrated scheduling on deterministic communication.
  • Reformed the scheduling model into a cyclic three-sided matching game.
  • Designed an integrated scheduling algorithm (ISA) for optimization.

Main Results:

  • The proposed ISA algorithm optimizes the concurrent positioning of wired and wireless time slots.
  • Experimental results show ISA outperforms existing algorithms.
  • Achieved an average delay reduction of 16.6% compared to other algorithms.

Conclusions:

  • The integrated scheduling algorithm (ISA) effectively reduces communication delays in LEO satellite networks.
  • ISA enhances the reliability of deterministic communication for time-sensitive applications.
  • The matching game theory approach provides an effective solution for integrated scheduling challenges.