Research on Joint Resource Allocation for Multibeam Satellite Based on Metaheuristic Algorithms

Area of Science:

• Satellite Communications
• Operations Research
• Computer Science

Background:

• Increasing demand for satellite communication and high-throughput satellite systems intensifies the complexity of dynamic resource management (DRM).
• Metaheuristic algorithms are crucial for optimizing DRM but face challenges in handling invalid solutions and bandwidth constraints.
• Current unused bandwidth allocation (UBA) methods limit solution space flexibility and increase computational load.

Purpose of the Study:

• To propose a novel bandwidth constraint handling approach for the satellite resource allocation problem.
• To enhance the performance of metaheuristic algorithms in dynamic resource management.
• To improve solution quality and reduce computational complexity in satellite resource allocation.

Main Methods:

• Introduction of the non-dominated beam coding (NDBC) method to address bandwidth constraints in metaheuristic algorithms.
• Development of a generic application architecture for metaheuristic algorithms incorporating the NDBC method.
• Application and validation of the NDBC method across four typical metaheuristic algorithms.

Main Results:

• The NDBC method effectively eliminates bandwidth overlap constraints, allowing complete bandwidth flexibility.
• NDBC enhances the quality of optimized solutions by 9-33% compared to traditional methods.
• NDBC simultaneously reduces computational complexity by 9-21%.

Conclusions:

• The NDBC method offers a superior approach to handling bandwidth constraints in satellite resource allocation.
• NDBC significantly improves the efficiency and effectiveness of metaheuristic algorithms for dynamic resource management.
• This approach provides a flexible and computationally efficient solution for complex satellite communication resource management challenges.