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

With the rapid development of industrial Internet of thing (IIoT), the relationship between all entities of the network 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 graphbased 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 allocation in IIoT under ultra-dense wireless network conditions. [ABSTRACT FROM AUTHOR]

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