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超密集工业物联网中基于超图匹配的频谱分配方法

王琴 昌昊天 朱洪波

物联网学报2025,Vol.9Issue(4):29-39,11.
物联网学报2025,Vol.9Issue(4):29-39,11.DOI:10.11959/j.issn.2096-3750.2025.00401

超密集工业物联网中基于超图匹配的频谱分配方法

Spectrum allocation and device association in ultra-dense industrial IoT via hypergraph matching

王琴 1昌昊天 1朱洪波1

作者信息

  • 1. 南京邮电大学物联网研究院,江苏 南京 210003||江苏省无线通信与物联网重点实验室,江苏 南京 210003||教育部泛在网络健康服务系统工程研究中心,江苏 南京 210003
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摘要

Abstract

With the rapid development of industrial Internet of thing(IIoT),the relationship between all entities of the net-work elements became more complex,dynamic and multidimensional.It was difficult to accurately describe the high-density,large-scale and complex interaction relationship of all elements in IIoT through existing information interaction technology.Focusing on the interrelation of resource allocation among network entities in macrocell scenarios,sum-rate maximizing problem in IIoT macrocell based on hypergraph was studied and constructed.Non-orthogonal multiple access(NOMA)technology was considered in this scenario to support multiple access between industrial Internet devices.Device-to-device(D2D)communication technology was introduced to reduce interference between devices and improve spectral efficiency.When constructing the interference model among femtocells and their internal devices,the femtocell access points(FAP)were defined as vertices,and the interference relationships were defined as edges and hyperedges.By analyzing the hyperedge relationships in the hypergraph,base stations causing less interference were allowed to share the same spectrum,and a maximum vertex-weight cluster algorithm based on the hypergraph was used to achieve optimal spectrum resource allocation and spectrum sharing matching.Simulation results demonstrated that,compared to graph-based resource schemes,the proposed method significantly improves spectral efficiency and exhibits better adaptability and scalability in high-density,large-scale,and complex environments,providing an effective solution for resource alloca-tion in IIoT under ultra-dense wireless network conditions.

关键词

工业物联网/非正交多址接入/D2D群组/超图/最大团问题/资源分配

Key words

industrial Internet of thing/non-orthogonal multiple access/device-to-device cluster/hypergraph/maximum clique problem/resource allocation

分类

信息技术与安全科学

引用本文复制引用

王琴,昌昊天,朱洪波..超密集工业物联网中基于超图匹配的频谱分配方法[J].物联网学报,2025,9(4):29-39,11.

基金项目

国家自然科学基金重大研究计划集成项目(No.92367302) (No.92367302)

江苏省重点研发计划项目(No.BE2022068,No.BE2022068-2) (No.BE2022068,No.BE2022068-2)

江苏省高等学校基础科学(自然科学)研究重大项目The National Natural Science Foundation of China(No.92367302),The Jiangsu Provincial Key Research and Development Program(No.BE2022068,No.BE2022068-2),The Natural Science Foundation of the Jiangsu Higher Education Insti-tutions of China (自然科学)

物联网学报

2096-3750

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