User mobility profile prediction: An adaptive fuzzy inference approach

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