Cell PCI Assignment Method Based on Particle Swarm Optimization

Abstract

In order to streamline PCI allocation within cells for diminished conflicts, interferences, and complexities, an innovative methodology is introduced. A novel approach employing Particle Swarm Optimization (PSO) is employed to gauge and enhance cellular performance in wireless communications. We developed a comprehensive database for 2067 active cells along with their collision, interference, and confusion matrices. Utilizing regression tree models to analyze the influence of PCI configurations on MR values, coupled with PSO's capacity to refine PCI configurations, significantly reduces MR values, consequently boosting network performance. This study exemplifies the effective integration of machine learning and optimization algorithms into enhancing wireless network efficiency, offering network operators a valuable decision-making tool in intricate scenarios.