Systems and methods for robustly determining time series relationships in wireless networks

摘要

Quality of service problems in wireless networks can be identified, and in some cases resolved, autonomously using an optimization technique that adjusts parameters of the wireless network based on relationships between key quality indicators (KQIs) and key performance indicators (KPIs). A KQI may be used to gauge the quality of service/experience collectively observed by users/devices when communicating a particular type of traffic in a wireless network or wireless network area. A KPI may be any specific performance metric of a wireless network tending to have a causal or correlative relationship with a KQI. Different types of relationships between a KQI and KPIs may be used to evaluate a quality of service problem, including correlation coefficients, slopes of linear regression, hit-ratios, and others.