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Due to the limited onboard power and bandwidth resources, multibeam satellite communication technology requires efficient resource allocation algorithms to meet the demands of satellite communication for smart girds. A resource allocation model considering inter-beam interference and electric service delay is proposed in this paper. The Improved Coyote Optimization Algorithm (ICOA), in which the original COA is enhanced based on the Whale Optimization Algorithm to accelerate the solving speed, is applied to minimize the fairness index. Simulation experiments demonstrate that this algorithm has a significant advantage in both speed and fairness index during the solving process.

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Joint Power and Bandwidth Allocation Method in Multibeam Satellite for Smart Grid System

  • 会议论文

  • 发表日期：

    2025年

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  • Jiakai Hao,
  • Zheng Dong,
  • Shulin Zhang,
  • Haoyang Bai,
  • Ming Jin,
  • Yang Yang,
  • Qi Xu

摘要

Due to the limited onboard power and bandwidth resources, multibeam satellite communication technology requires efficient resource allocation algorithms to meet the demands of satellite communication for smart girds. A resource allocation model considering inter-beam interference and electric service delay is proposed in this paper. The Improved Coyote Optimization Algorithm (ICOA), in which the original COA is enhanced based on the Whale Optimization Algorithm to accelerate the solving speed, is applied to minimize the fairness index. Simulation experiments demonstrate that this algorithm has a significant advantage in both speed and fairness index during the solving process.