User mobility profile prediction: an adaptive fuzzy inference approach

摘要: Predicting the probabilities that a mobile user will be active in other cells at future moments poses significant technical challenge to network resource management multimedia wireless communications. The probability information can used assist base stations maintain balance between guaranteeing quality of service (QoS) users and achieving maximum utilization. This paper proposes novel adaptive fuzzy logic inference system estimate predict for direct sequence code division multiple access (DS/CDMA) communications networks. estimation is based on measured pilot signal strengths from number nearby stations, prediction obtained using recursive least square (RLS) algorithm. Numerical results are presented demonstrate performance proposed technique under various path loss channel shadowing conditions.