A comparison analysis of 5G key performance indicators based on entropy
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Keywords
5G key performances indicators, correlation coefficient weight, entropy weight, integrated weight
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.
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