任务驱动的立体无线Mesh网络多维资源智能协同算法研究

顾浩; 李侍阳; 朱晓荣

doi:10.11959/j.issn.2096-3750.2026.00408

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任务驱动的立体无线Mesh网络多维资源智能协同算法研究

理论与技术 | 更新时间：2026-04-16

- 任务驱动的立体无线Mesh网络多维资源智能协同算法研究
- Research on multi-dimensional resource intelligent collaborative algorithm for task-driven stereoscopic wireless Mesh networks
- 物联网学报 2026年10卷第1期页码：202-215
- 作者机构：
  
  南京邮电大学通信与信息工程学院，江苏南京 210003
- 作者简介：
  
  [ "顾浩（2000‒ ），男，南京邮电大学通信与信息工程学院硕士生，主要研究方向为端到端网络切片、无线Mesh网络资源分配算法。" ]
  [ "李侍阳（2002‒ ），男，南京邮电大学通信与信息工程学院在读，主要研究方向为无线Mesh网络。" ]
  [ "朱晓荣（1977‒ ），女，博士，南京邮电大学通信与信息工程学院教授、博士生导师，主要研究方向为5G/6G网络、智能物联网、网络大数据、区块链、群体智能。" ]
- 基金信息：
  
  国家自然科学基金资助项目(92367102);江苏省重点研发计划项目(BE2021013-3)
- DOI：10.11959/j.issn.2096-3750.2026.00408
  中图分类号： TN929.5
- 收稿：2024-05-07，
  
  修回：2025-08-27，
  
  纸质出版：2026-03-30
- 稿件说明：
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顾浩,李侍阳,朱晓荣.任务驱动的立体无线Mesh网络多维资源智能协同算法研究[J].物联网学报,2026,10(01):202-215.

Gu Hao,Li Shiyang,Zhu Xiaorong.Research on multi-dimensional resource intelligent collaborative algorithm for task-driven stereoscopic wireless Mesh networks[J].Chinese Journal on Internet of Things,2026,10(01):202-215.
顾浩,李侍阳,朱晓荣.任务驱动的立体无线Mesh网络多维资源智能协同算法研究[J].物联网学报,2026,10(01):202-215. DOI： 10.11959/j.issn.2096-3750.2026.00408.

Gu Hao,Li Shiyang,Zhu Xiaorong.Research on multi-dimensional resource intelligent collaborative algorithm for task-driven stereoscopic wireless Mesh networks[J].Chinese Journal on Internet of Things,2026,10(01):202-215. DOI： 10.11959/j.issn.2096-3750.2026.00408.

摘要

为应对未来应急通信场景下无线Mesh网络中资源受限、网络拓扑和用户需求动态变化带来的多维资源分配问题，提出了一种面向6G网络的动态Mesh网络切片端到端服务稳定匹配算法。首先，根据不同业务的差异化服务需求，基于Gale-Shapley匹配思想，将多业务端到端服务问题表述为层次化二分图稳定匹配问题；然后，建立服务请求方和提供方的偏好列表，在接入侧和回程侧分别进行终端-切片-基站和业务流-服务路径的稳定匹配，完成区分任务类型的端到端服务。仿真结果表明，所提稳定匹配算法在降低网络成本、提高业务服务成功率以及满足高可靠、低时延、大带宽等差异化业务需求方面，都表现出良好的性能。

Abstract

In order to deal with the problem of multi-dimensional resource allocation in future wireless Mesh networks with limited resources and dynamic changes in network topology and user demands in emergency communication scenarios

a dynamic Mesh network slicing end-to-end service stable matching algorithm for 6G networks was proposed. Firstly

according to the differentiated service requirements of different services and based on Gale-Shapley matching idea

the multi-service end-to-end service problem was expressed as hierarchical bipartite stable matching process. Then

preference lists of requesters and service providers were established

and stable matching of user-slice-base station and service flow-service path were carried out on the access side and the return side respectively. Complete an end-to-end service that differentiates task types. The simulation results showed that the proposed stable matching algorithm had good performance in reducing network cost

improving the success rate of service and distinguishing the differentiated needs of high reliability

low latency and large bandwidth services of service types.

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Keywords

references

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