Abstract
This paper explores a rule based mediation approach to optimize the balance between coverage and capacity Key Performance Indicators (KPIs) in Self Organizing Networks (SONs). Traditional methods often provide mitigation solutions to resolve conflicts between these KPIs. In contrast, this study introduces a mediation optimization technique that dynamically adjusts electrical antenna tilt in response to changing user densities. Through the simulations, the proposed approach demonstrates significant improvements in network performance, effectively reducing the coverage and capacity losses typically observed when one KPI is prioritized over the other. This dynamic adjustment method offers a more balanced solution for optimizing SON performance.