Hierarchical Resource Management for Mega-LEO Satellite Constellation.

Area of Science:

• Satellite Communications
• Network Engineering
• Wireless Networks

Background:

• Mega-low Earth orbit (LEO) satellite constellations are crucial for future satellite internet and 6G networks.
• Effective resource allocation and scheduling are significant challenges in mega-LEO satellite constellation systems (MLSCS).
• Concentrated user demand in hotspot areas necessitates efficient resource management.

Purpose of the Study:

• To propose a novel three-layer management architecture for MLSCS resource management.
• To enhance resource utilization efficiency, especially in user demand hotspots.
• To provide real-time scheduling capabilities adaptable to dynamic network conditions.

Main Methods:

• A three-layer management architecture: Network Control Center (NCC), Space Base Station (SBS), and User Terminal (UT).
• Exploration of resource scheduling strategies: spectrum cognition, interference coordination, beam scheduling, multi-satellite collaboration, and random access.
• Simulation-based evaluation of proposed approaches and algorithms.

Main Results:

• The proposed three-layer architecture effectively manages resources in MLSCS.
• Scheduling strategies and algorithms demonstrate significant improvements in resource management.
• The architecture alleviates processing burden on the terrestrial NCC.

Conclusions:

• The novel three-layer architecture is effective for resource management in MLSCS.
• The proposed scheduling strategies enhance resource utilization and adaptability.
• This work contributes to the advancement of satellite internet and 6G network infrastructure.