Spectrum assignment for industrial radio cells based on selective subgraph constructions

Dense industrial wireless cells have to ensure minimum survival data rates such that the mission critical functionalities can at least be supported regardless of the deployment and interference conditions. In this paper, we propose a novel spectrum allocation mechanism meant to efficiently support minimum survival data rates but without compromising the average network performance. The presented approach is based on a two-phase graph construction and coloring, where cells that are still experiencing mutual interference upon a first frequency allocation are further orthogonalized. Simulation results show that our solution can lead to an increase of up to 250% of the survival data rates with negligible impact on the average network throughput.