Force field based joint optimization of strictly monotonic KPIs in wireless networks

Self-organizing networks (SONs) are expected to improve the quality of service (QoS) while reducing the operator´s capital and operational expenditures. In order to achieve this ambitious goal, SON concepts are required to manage multiple key performance indicators (KPIs) by modifying several different network control parameters. Developing concepts and algorithms that cope with such complexity is not easy. In order to avoid the complexity of joint optimization, the research so far focused on concepts, which coordinate multiple algorithms [1], [2]. Usually, each of these algorithms is dedicated to managing a single use case or KPI. In contrast, we introduce and analyse a force field based joint optimization concept which considers all KPIs and network control parameters concurrently. Despite the holistic approach, our concept offers an acceptable complexity. Using an algorithm based on this concept, we can resolve a high load scenario by jointly adjusting the tilts and cell individual offsets (CIOs).