LOCATION MANAGEMENT FOR PCS NETWORKS USING USER MOVEMENT PATTERN

Location management is essential task in current cellular system. Mobility prediction is widely used to assist handoff management, resource reservation and service pre-configuration. Location management methods are to find out mobile unit current location. Location update and paging have to maintain efficiently to minimize location management cost in cellular network. This paper introduce new user movement pattern according to particular time slot based algorithm reducing location management cost. This algorithm is based on user’s daily predefined moving geographical activities pattern, according to time. Paging decision for user is based on this predicted location for any instance of time interval. This predicated value again sort by higher probability of user finding in any cell for that time duration. This prediction information is saved by mobile unit in its memory for every fixed time interval. The results confirm the effectiveness of this method compare to existing method for real time in mobile services and proposed method.

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