基于改进粒子群算法的多波束卫星带宽功率联合分配
DOI:
作者:
作者单位:

1.南京信息工程大学 电子与信息工程学院;2.国防科技大学 第六十三研究所

作者简介:

通讯作者:

中图分类号:

TN927.2

基金项目:


Joint bandwidth and power allocation of multi-beam satellite based on improved particle swarm optimization algorithm
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    由于卫星平台的限制,卫星转发器的功率和带宽资源都是有限的,资源利用率的提升就显得尤为重要。针对多波束卫星通信系统中的带宽功率联合分配问题,本文提出了一种基于改进粒子群算法的带宽功率联合分配方案。该方案以最小系统总二阶业务拒绝量为优化目标,通过引入了惯性权重、局部抑制机制和罚函数的改进的粒子群算法求其最优解,最终在系统的总容量和用户获取容量的公平性之间取得平衡。仿真结果表明,与传统算法进行对比,本文所提出的基于改进粒子群算法的方法能够显著提高多波束卫星通信系统的带宽功率联合分配的效果。

    Abstract:

    Due to the limitation of the satellite platform, the bandwidth and power resources of the satellite transponder are limited, and the improvement of resource utilization is particularly important. Aiming at the problem of joint power and bandwidth allocation in multi-beam satellite communication system, this paper proposes a joint bandwidth and power allocation scheme based on improved particle swarm optimization algorithm. The scheme aims to minimize the total second-order service rejection of the system. The optimal solution is obtained by introducing an improved particle swarm optimization algorithm with inertia weight, local suppression mechanism and penalty function. Finally, a balance between the total capacity of the system and the fairness of the user 's access capacity is achieved.The simulation results show that compared with the traditional algorithm, the method based on the improved particle swarm optimization algorithm proposed in this paper can significantly improve the effect of joint bandwidth and power allocation of multi-beam satellite communication system.

    参考文献
    相似文献
    引证文献
引用本文
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2023-08-09
  • 最后修改日期:2023-10-11
  • 录用日期:2023-10-11
  • 在线发布日期:
  • 出版日期: