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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Matching-Based Resource Allocation for Satellite-Ground Network.

Huixia Ding1, Sicheng Zhu1, Sachula Meng1

  • 1Information & Communication Department, China Electric Power Research Institute, Beijing 100192, China.

Sensors (Basel, Switzerland)
|November 11, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a novel three-sided cyclic matching algorithm for satellite-ground networks, improving resource allocation for global mobile internet coverage. The new method enhances user service, satellite revenue, and reduces network delay.

Keywords:
matching theoryresource allocationsatellite–ground network

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Telecommunications

Background:

  • The rapid advancement of information and communication technology necessitates global mobile internet coverage.
  • Ground-based networks face limitations in providing service to remote areas or high-demand hotspots.
  • Geostationary (GEO) and Low Earth Orbit (LEO) satellites are crucial for extending network reach.

Purpose of the Study:

  • To develop an efficient resource allocation model for integrated satellite-ground networks.
  • To address the challenge of matching satellite resources (GEO backhaul, LEO transmission) with user demands.
  • To propose a distributed algorithm that optimizes network performance.

Main Methods:

  • A satellite-ground network model was constructed, framing resource allocation as a matching problem.
  • A three-sided cyclic matching algorithm was developed to coordinate GEO satellites, LEO satellites, and users.
  • Extensive simulation experiments were conducted to evaluate the algorithm's performance.

Main Results:

  • The proposed three-sided cyclic matching algorithm significantly outperforms conventional methods.
  • Demonstrated improvements in key performance indicators including average delay, satellite revenue, and the number of users served.
  • Validated the effectiveness of the distributed matching approach in complex network environments.

Conclusions:

  • The developed three-sided cyclic matching algorithm offers a superior solution for satellite-ground network resource allocation.
  • This approach effectively enhances overall network efficiency and user experience in achieving global connectivity.
  • The findings provide a valuable framework for future research in integrated space-air-ground communication systems.