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Survey on Optimization Methods for LEO-Satellite-Based Networks with Applications in Future Autonomous Transportation
Kaan Çelikbilek1, Zainab Saleem2, Ruben Morales Ferre1
1Faculty of Information Technology and Communication Sciences, Tampere University, 33720 Tampere, Finland.
Sensors (Basel, Switzerland)
|February 26, 2022
Summary
Future autonomous transportation requires advanced connectivity. Low Earth Orbit (LEO) satellite networks offer solutions but face design challenges, necessitating optimization for communication, positioning, and sensing.
Area of Science:
- Satellite Communications
- Autonomous Systems Engineering
- Network Optimization
Background:
- Autonomous transportation demands stringent connectivity: high throughput, low latency, high availability, accuracy, and security.
- Terrestrial networks alone are insufficient; satellite networks, particularly Low Earth Orbit (LEO), are crucial for future autonomous vehicle support.
- LEO networks offer advantages over Medium Earth Orbit (MEO) and Geo-Stationary Earth Orbit (GEO) in latency, cost, and performance.
Purpose of the Study:
- To provide a comprehensive survey of Low Earth Orbit (LEO) system design parameters.
- To identify and discuss the challenges inherent in the LEO system design process.
- To explore optimization methods for LEO satellite communication, positioning, and sensing applications.
Main Methods:
- Literature review and synthesis of existing research on LEO system design.
- Analysis of multi-dimensional optimization problems in LEO system parameter selection.
- Discussion of design considerations for LEO-based networks supporting autonomous transportation.
Main Results:
- Identification of key LEO system design parameters crucial for autonomous transportation.
- Detailed examination of unresolved challenges in LEO system design and optimization.
- Overview of current optimization techniques applicable to LEO satellite services.
Conclusions:
- LEO networks are vital for enabling future autonomous transportation systems.
- Addressing LEO system design challenges requires sophisticated optimization strategies.
- Further research is needed to fully realize the potential of LEO networks for autonomous mobility.
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