A Fuzzy-based Mobility Prediction in the IEEE 802.16e
Abstract
Intersystem mobility having no awkward transitions or
indications of disparity, roaming across wireless access networks is
one of the main features of Mobile WiMAX. In this paper, we
propose a mobility prediction method based on fuzzy logic control
and an algorithm similar to the fuzzy c- mean partitioning to predict
the movement patterns and handover times by measuring mobile
users’ velocity and monitoring the received signal strength of the
serving base stations and target base stations simultaneously. With
the help of the prediction, reserving the required amount of
resources for the upcoming handover event at the target base station
can occur before handover initiation and execution. This would
grant mobile users of high priority connections (e.g., UGS based
VoIP connection) accessibility to the target base station with no
connection termination at various loading situations. The viability
and efficiency of the method is demonstrated through experiments
conducted with system parameters and propagation model defined
by WiMAX Forum. This is to show that the prediction of the future
handover times based on predicted received signal strength trend is
accurate to maintain the promised QoS level and to reduce the total
handover delays caused by layer-3 handover initiation. This allows
Layer-3 handover initiation to occur before Layer-2 initiation.
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Institute of Computing, International Journal of Communication Networks and Information Security (IJCNIS) ISSN: 2073-607X (Online)