Abstract—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 timer based algorithm using cache memory for improve hit ratio. 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 personal cache memory for every fixed time interval. The results confirm the effectiveness of this method compare to existing method for real time in mobile services.
Index Terms—Hit ratio, location update, paging, cellular network, time-slot, mobile switching center (MSC).
A. Sahelay, R. Ahirwal, and Y. K. Jain are with the Computer Science & Engineering Dept., S.A.T.I., Vidisha, India (e-mail: aloksahelay@ gmail.com).
Cite: Alok Sahelay, Ramratan Ahirwal, and Y. K. Jain, "Timer-Based Location Management to Improve Hit Ratio in Cellular Network Using Cache Memory," International Journal of Information and Education Technology vol. 2, no. 5, pp. 494-497, 2012.