Dynamic Beam Hopping Scheduling and Bandwidth Allocation Algorithms for Multi-Beam Satellite System

초록

With the rapid advancement of satellite networks, multi-beam satellite (MBS) communication systems have emerged as a highly effective technology for delivering reliable and high-speed services. Enhancing the performance of MBS systems, however, requires innovative solutions for dynamic beam hopping (BH) and bandwidth allocation algorithms. In this paper, we investigate the satellite communication optimization problem and introduce a new MBS control scheme that integrates BH scheduling with bandwidth sharing and distribution strategies. Inspired by the strengths of cooperative game theory, our hierarchical MBS control scheme employs the concepts of Modified Game Theory (MGT), Generalized Gini Bargaining Solution (GGBS), and Shannon Entropy Bargaining Solution (SEBS). In the first phase, we design a multi-objective BH scheduling algorithm based on the MGT to balance conflicting performance goals. In the second phase, the satellite bandwidth is shared among selected cells using the GGBS. In the third phase, the allocated bandwidth within each cell is distributed among terrestrial devices via the SEBS. To achieve mutually beneficial outcomes, the proposed scheme leverages interactive cooperation among MBS entities, thereby fostering the balanced system performance. Within dynamic MBS environments, our joint control approach identifies effective strategies that enable efficient utilization of satellite bandwidth resource. Finally, simulation results confirm that our proposed scheme achieves an average performance improvement of 10-20% over the existing MFBHC, MSORA, BHERA, and MODRL schemes.

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