A comparison analysis of 5G key performance indicators based on entropy

Abstract

This study presents a comparative analysis of 5G Key Performance 
Indicators (KPIs) using an entropy-based weighting method to prioritize 
critical metrics for 5G deployment on existing 4G LTE networks in 
Mongolia. The proposed methodology quantifies uncertainty and 
randomness in system performance, assigning objective weights to each 
KPI based on their contribution to overall information entropy. Among the 
eight KPIs analyzed in the study, spectrum efficiency emerged as the most 
critical, with a weight of 0.209. This was closely followed by area traffic 
capacity at 0.204 and peak data rate at 0.185. By identifying the most 
significant KPIs, the study suggests that improvements in these areas will 
positively influence other performance indicators. These results 
underscore the importance of optimizing these metrics to enhance 
network performance and user experience. The findings demonstrate that 
prioritizing specific KPIs can have varied impacts on 5G deployment 
outcomes, highlighting the significance of a data-driven approach to 
decision-making in network development. This research provides a 
practical framework for evaluating and enhancing 5G KPIs, with 
implications for future 5G deployments from 4G LTE networks in 
developing countries.