WSEAS Transactions on Systems
Print ISSN: 1109-2777, E-ISSN: 2224-2678
Volume 23, 2024
Integrating System Dynamics into Predictive Analytics for Dynamic Mobile Network Capacity Planning
Authors: , , , ,
Abstract: This work assesses how System Dynamics (SD) complements Predictive analytics for dynamic mobile
network capacity planning. Including SD within predictive analytics models improves responsiveness to the
challenges posed by dynamic environments by including stocks and flows, feedback and time delays, and therefore
model accuracy. Even with advances in machine learning, traditional predictive analytics still struggle with the
dynamic feedback mechanisms as much. This research seeks to enhance mobile network forecasting and capacity
planning using a hybrid approach employing real-time data. While computational complexity is a challenge, this
integrated approach considerably improves network performance and planning accuracy.