An Efficient Multi-Dimensional Resource Allocation Mechanism for Beam-Hopping in LEO Satellite Network

Area of Science:

• Satellite Communications
• Network Resource Management

Background:

• Low Earth Orbit (LEO) satellites offer internet access but face resource limitations.
• Dynamic and uneven traffic patterns in LEO networks necessitate efficient resource scheduling.
• Beam-hopping technology dynamically allocates resources to improve utilization.

Purpose of the Study:

• To propose an efficient multi-dimensional resource allocation mechanism for beam-hopping in LEO satellite networks.
• To ensure simultaneous avoidance of Geostationary Earth Orbit (GEO) interference.
• To optimize resource utilization under dynamic and uneven traffic conditions.

Main Methods:

• Developed a beam-hopping model for LEO satellites and formulated a resource optimization problem.
• Employed a weighted greedy strategy for illumination pattern determination.
• Utilized cell clustering to reduce search space and an improved genetic algorithm for joint resource allocation.

Main Results:

• The proposed mechanism demonstrated superior performance compared to random-BH, polling-BH, and traditional genetic algorithms.
• Achieved significant improvements in system throughput, access success rate, average delay, and cell fairness.
• Performance gains were most pronounced in scenarios with uneven traffic demand.

Conclusions:

• The proposed multi-dimensional resource allocation mechanism is effective for beam-hopping in LEO satellite networks.
• The approach successfully balances resource utilization with GEO interference avoidance.
• This method offers a robust solution for enhancing LEO satellite communication performance, particularly under variable traffic loads.