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Advancing Free-space Optical Communication System Architecture: Performance Analysis of Varied Optical Communication Station Network Configurations

75th International Astronautical Congress, Milan, Italy

B2. IAF SPACE COMMUNICATIONS AND NAVIGATION SYMPOSIUM

8-GTS.3. Space Communications and Navigation Global Technical Session

14th October 2024

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Meet the Team

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Eugene

Rotherham

Isaac

Pike

Eva Fernández

Rodríguez

Karen Wendy

Vidaurre Torrez

Maren

Mashor

Connor

Casey

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Free-space Optical Communication

  • Performance
    • Higher throughput
    • Efficient transmission
  • Security
    • Narrow beamwidth
    • Quantum encryption
    • Electronic warfare
  • Features
    • Compact low-mass system
    • Reduced power
    • Cost-effectiveness

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Space-to-space

Image: Starlink

Image: ESA

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Space-to-ground Laser Communications

  • Severe cloud and turbulence degradation
  • Legacy ground stations are in the range of $M’s

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AOGSN CHINA DLR EONN NASA NICT NODES

Existing optical communication networks

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Mobile Optical Ground Stations

  • Cost-effectiveness
  • Rapid and flexible deployment
  • Operational scalability
  • Advancements in data throughput, precision, and reliability
  • Major commercialization and integration in existing networks

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Image: Archangel Lightworks

Image: ICRAR

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Optical Network Model Architecture

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Data Integration

Optical Link Performance Model

Output

Data Processing

Input

Turbulence

Ground-segment

Space-segment

Cloud

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Experimental Setup

Config. 1

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Tenerife

Large capacity OGS

LEO remote sensing satellite

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Experimental Setup

Config. 2

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Nemea

Trauen

Experimental Setup

Large-capacity fixed OGS

Low-capacity mobile OGS

Tenerife

LEO remote sensing satellite

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Config. 3

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Goonhilly

Madrid

Experimental Setup

Large-capacity fixed OGS

Low-capacity mobile OGS

Tenerife

Nemea

Trauen

LEO remote sensing satellite

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Config. 4

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Oberpfaffenhofen

Experimental Setup

Large-capacity fixed OGS

Low-capacity mobile OGS

Tenerife

Goonhilly

Madrid

Nemea

Trauen

The

Hague

LEO remote sensing satellite

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OGS Availability Correlation

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Data Throughput by Month

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  • Challenges

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Normalized1 Network Efficiency

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  • Challenges
  1. Normalized to Config4

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Network Availability by Month

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  • Challenges

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Network Availability by Configuration

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Throughput & Availability by Configuration

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  • Challenges

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Caveats

  • Resolution of Cloud Data (and single source, cloud threshold)
  • Simplified Data Downlink Model (hardcoded turbulence loss, system temperature)
  • Zero Switching Time Assumption
  • OGS Selection Logic
  • European Geographical Coverage
  • Not Factoring Downtime/Maintenance time

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Conclusions

  • Small OGS networks have high potential
  • Affordable, scalable networks – with some limitations
  • Industry Recommendations:
    • Leverage globally distributed OGS networks
    • Improve transparency and collaboration

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Future Work

  • Incorporate Multiple Satellites and Bidirectional Links: expand the tool to simulate multiple satellite constellations, bidirectional communication, and data relay systems
  • Mobile Terminals on Vehicles and Vessels: simulation of mobile OGS terminals on vehicles, vessels, or trains 
  • OGS Location Optimization: OGS location optimization feature would allow users to simulate OGS placement anywhere on Earth. This would provide insights into how different geographical locations influence system performance and availability
  • Enhanced Meteorological Data: incorporating more accurate meteorological models or deploying on-site sensors at OGS locations to increase higher temporal and spatial resolutions in weather and turbulence predictions

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Acknowledgments: Simran Mardhini (Archangel Lightworks), Charilaos Kourogiorgas (Atheras Analytics),

James Osbourne (Durham University) and Gianluca Borgo (University of Southampton)

Eugene

Rotherham

Isaac

Pike

Eva Fernández

Rodríguez

Karen Wendy

Vidaurre Torrez

Maren

Mashor

Connor

Casey