面向卫星物联网的柔性波束调度与资源分配策略研究

李福临; 王靖超; 董延杰; 王威; 马骁

doi:10.11959/j.issn.2096-3750.2025.00465

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面向卫星物联网的柔性波束调度与资源分配策略研究

专题：卫星物联网 | 更新时间：2025-04-21

- 面向卫星物联网的柔性波束调度与资源分配策略研究
- Flexible beam scheduling and resource allocation strategies for satellite Internet of things
- 物联网学报 2025年9卷第1期页码：27-40
- 作者机构：
  
  1.陕西师范大学物理学与信息技术学院，陕西西安 710119
  2.深圳北理莫斯科大学人工智能研究院，广东深圳 518172
  3.南京航空航天大学电子信息工程学院，江苏南京 211106
- 作者简介：
  
  [ "李福临（1998‒ ），男，陕西师范大学物理学与信息技术学院硕士生，主要研究方向为卫星网络、无线通信协议设计等。" ]
  [ "王靖超（2002‒ ），男，陕西师范大学物理学与信息技术学院硕士生，主要研究方向为卫星网络、智能路由决策等。" ]
  [ "董延杰（1989‒ ），男，博士，深圳北理莫斯科大学人工智能研究院副教授、硕士生导师，主要研究方向为无线资源管理、分布式机器学习等。" ]
  [ "王威（1990‒ ），男，博士，南京航空航天大学电子信息工程学院研究员、博士生导师，主要研究方向为下一代无线通信技术、低空智联网等。" ]
  [ "马骁（1984‒ ），男，博士，陕西师范大学物理学与信息技术学院教授、硕士生导师，主要研究方向为无线通信、移动Ad Hoc网络、并行传输技术等。" ]
- 基金信息：
  
  陕西省重点产业创新链项目(2023-ZDLGY-15;2023-ZDLGY-51;2019ZDLGY09-03;2020ZDLGY15-09);陕西省自然科学基础研究计划-一般项目-青年项目(2023-JC-QN-0762)
- DOI：10.11959/j.issn.2096-3750.2025.00465
  中图分类号： TN927;
- 收稿日期：2024-12-04，
  
  修回日期：2025-01-02，
  
  纸质出版日期：2025-03-30
- 稿件说明：
移动端阅览
李福临,王靖超,董延杰等.面向卫星物联网的柔性波束调度与资源分配策略研究[J].物联网学报,2025,09(01):27-40.

LI Fulin,WANG Jingchao,DONG Yanjie,et al.Flexible beam scheduling and resource allocation strategies for satellite Internet of things[J].Chinese Journal on Internet of Things,2025,09(01):27-40.
李福临,王靖超,董延杰等.面向卫星物联网的柔性波束调度与资源分配策略研究[J].物联网学报,2025,09(01):27-40. DOI： 10.11959/j.issn.2096-3750.2025.00465.

LI Fulin,WANG Jingchao,DONG Yanjie,et al.Flexible beam scheduling and resource allocation strategies for satellite Internet of things[J].Chinese Journal on Internet of Things,2025,09(01):27-40. DOI： 10.11959/j.issn.2096-3750.2025.00465.

摘要

基于多波束技术的卫星通信系统能够为5G的海量物联网通信应用场景、海量物联设备接入和传输、泛在通信等下一代通信愿景提供更强大的支撑。在卫星物联网（IoT

Internet of things）面向的海量终端应用场景中，物联网终端的流量分布是非均匀的。进一步提高多波束卫星系统的通信资源利用效率成为重要的研究方向。多波束调度和无线资源的分配是提高系统资源利用率和公平性的关键问题。首先，分析了波束调度和无线资源分配之间的耦合性，随后，提出了一种柔性波束调度和资源分配的联合优化策略。提出了分离式群优化算法（SSO-BSA

beam scheduling algorithm based on separated swarm optimization）来求解灵活波束指向坐标，并设计了基于服务价值度的按需资源分配算法（ORAA-SVD

on-demand resource allocation algorithm based on service value degree），为波束和物联网终端提供灵活的资源分配。仿真验证了在不同流量强度下所提算法与基准算法的各项指标性能。仿真结果表明，相比于基准算法，所提算法在公平性和资源利用率方面有着更优的性能表现。

Abstract

Satellite communication systems based on multi-beam technology can provide strong support for massive machine type communication application scenarios of 5th generation mobile communication technology as well as for next-generation communication visions

such as access and transmission of massive Internet of things (IoT) devices and ubiquitous communication. In the satellite IoT-oriented massive terminal application scenario

the traffic distribution of IoT terminals is non-uniform. Further

improving the communication resource utilization efficiency of multi-beam satellite systems has become an important research direction. Multi-beam scheduling and wireless resource allocation are the key issues to improve the resource utilization and fairness of the system. Firstly

The coupling between beam scheduling and wireless resource allocation was analyzed. Subsequently

a joint optimization strategy for flexible beam scheduling and resource allocation was proposed. The beam scheduling algorithm based on separated swarm optimization (SSO-BSA) was proposed to solve the flexible beam pointing coordinates

and an on-demand resource allocation algorithm based on service value degree (ORAA-SVD) was designed to provide flexible resource allocation for beams and IoT terminals. The simulation verifies the performance of the proposed algorithm and the benchmark algorithms under different traffic intensities for each metric. The simulation results show that the proposed algorithm has better performance than that of the benchmark algorithms in terms of fairness and resource utilization.

关键词

Keywords

references

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