A framework for assessing grey multitasking effectiveness of satellite communication constellation

Area of Science:

• Space Systems Engineering
• Network Performance Analysis
• Communication Systems

Background:

• Task effectiveness is vital for satellite constellation performance.
• Existing research lacks dynamic and multitask-aware evaluation methods for multi-layer constellations.
• Current models overlook satellite constellation stochasticity and network dynamics.

Purpose of the Study:

• To develop a quantitative framework for assessing grey multitasking effectiveness in satellite communication constellations.
• To address limitations of existing methodologies in evaluating complex satellite networks.
• To provide a robust tool for optimizing constellation design and performance.

Main Methods:

• Analyzing individual satellite operations and user task types.
• Constructing Satellite Grey Graphical Evaluation and Review Technique (SG-GERT) signaling transmission diagrams.
• Modeling network structure using Satellite Tool Kit (STK) for completion time and variance analysis.
• Quantifying multitasking effectiveness by integrating task weights and communication link importance.

Main Results:

• A systematic framework for evaluating grey multitasking effectiveness has been established.
• The framework successfully models dynamic satellite networks and diverse task requirements.
• A case study validated the framework's applicability and robustness in a sample satellite constellation.

Conclusions:

• The proposed framework offers a significant advancement in assessing satellite constellation performance.
• It provides a more accurate and comprehensive method for evaluating multitasking effectiveness.
• The framework supports informed decision-making for satellite network design and optimization.