A method of controlling traffic in a cellular network comprising a plurality of access points (APs) serving a plurality of user equipment devices (UEs), the method comprising: by a computerized system operatively connected to the plurality of APs and the plurality of UE devices, continuously obtaining, network data (NW data) related to at least part of APs from the plurality of APs; continuously obtaining, from UE devices, user equipment data (UE data) related to at least part of the UEs from the plurality of UEs; and aggregating the NW data and the UE data into statistical clusters, wherein a) the NW data are aggregated into one or more NW statistical clusters using a first aggregation criterion and the UE data are separately aggregated into one or more UE statistical clusters using a second aggregation criterion different from the first aggregation criterion; or b) the NW data and the UE data are aggregated into one or more combined statistical clusters, wherein UE data are aggregated with weights different from the weights of aggregating the NW data; and continuously identifying at least one AP requiring corrective action by processing data informative of Network Key Performance Indicators (NW KPIs) and User Equipment Key Performance Indicators (UE KPIs), the data derived by processing the statistical clusters informative of NW data and UE data. by a computerized system operatively connected to the plurality of APs and the plurality of UE devices, continuously obtaining, network data (NW data) related to at least part of APs from the plurality of APs; continuously obtaining, from UE devices, user equipment data (UE data) related to at least part of the UEs from the plurality of UEs; and aggregating the NW data and the UE data into statistical clusters, wherein a) the NW data are aggregated into one or more NW statistical clusters using a first aggregation criterion and the UE data are separately aggregated into one or more UE statistical clusters using a second aggregation criterion different from the first aggregation criterion; or b) the NW data and the UE data are aggregated into one or more combined statistical clusters, wherein UE data are aggregated with weights different from the weights of aggregating the NW data; and continuously identifying at least one AP requiring corrective action by processing data informative of Network Key Performance Indicators (NW KPIs) and User Equipment Key Performance Indicators (UE KPIs), the data derived by processing the statistical clusters informative of NW data and UE data. a) the NW data are aggregated into one or more NW statistical clusters using a first aggregation criterion and the UE data are separately aggregated into one or more UE statistical clusters using a second aggregation criterion different from the first aggregation criterion; or b) the NW data and the UE data are aggregated into one or more combined statistical clusters, wherein UE data are aggregated with weights different from the weights of aggregating the NW data; and continuously identifying at least one AP requiring corrective action by processing data informative of Network Key Performance Indicators (NW KPIs) and User Equipment Key Performance Indicators (UE KPIs), the data derived by processing the statistical clusters informative of NW data and UE data.