A QoS adaptive mobility prediction scheme for wireless networks

Mobility prediction based on an individual´s movement history has been reported as an effective means to decrease the call-dropping probability and to shorten handover latency. Applying various basic prediction schemes to a realistic office environment, it is shown that mobility prediction using an individual´s movement history has limitations, and the statistical randomness of the user motion can prevent accurate prediction performance. We propose a QoS adaptive mobility prediction scheme to resolve these problems. A stricter QoS compliance can be achieved through a pro-active probability update mechanism, a supplementary correlative movement history and the concept of prediction confidence ratio