A Profile-Based Location Strategy and Its Performance

Future microcellular personal communications systems (PCSs) will be characterized by high user density and high mobility. It is expected that registrations will incur a large amount of the radio link signaling traffic. A profile-based strategy (PBS) is proposed to reduce the signaling traffic on the radio link by increasing the intelligence within the fixed network. The system maintains a sequential list of the most likely places where each user is located. The list is ranked from the most to the least likely place where a user is found. When a call arrives for a mobile, it is paged sequentially in each location within the list. When a user moves between location areas in this list, no location update is required. The list may be provided by the user or may be based on each user's past calling history. The method for doing this is outside the scope of this work. This work focuses on the potential performance improvements that can result from maintaining such a list. This paper compares the performance of the proposed strategy to the typical geographic-based location-tracking schemes being implemented in evolving digital cellular and cordless standards. Key performance measures for the comparison are radio bandwidth, fixed network SS7 traffic, and call setup delay. We investigate the conditions under which the PBS performs better than the traditional scheme. Results indicate that over a wide range of parameters, it may be possible to reduce both the radio bandwidth and fixed network signaling load for a modest increase in call setup delay.

[1]  Tomasz Imielinski,et al.  Querying in Highly Mobile Distributed Environments , 1992, VLDB.

[2]  Ivan Seskar,et al.  Rate of location area updates in cellular systems , 1992, [1992 Proceedings] Vehicular Technology Society 42nd VTS Conference - Frontiers of Technology.

[3]  G. Pollini Capacity of an IEEE 802.6 based cellular packet switch , 1993, Proceedings of ICC '93 - IEEE International Conference on Communications.

[4]  Ravi Jain,et al.  A caching strategy to reduce network impacts of PCS , 1994, IEEE J. Sel. Areas Commun..

[5]  Stephen S. Rappaport,et al.  Traffic model and performance analysis for cellular mobile radio telephone systems with prioritized and nonprioritized handoff procedures , 1986, IEEE Transactions on Vehicular Technology.

[6]  K.S. Meier-Hellstern,et al.  The use of SS7 and GSM to support high density personal communications , 1992, [Conference Record] SUPERCOMM/ICC '92 Discovering a New World of Communications.

[7]  I Chih-Lin,et al.  The reverse virtual call setup algorithm for mobility management in PCS networks , 1995, Proceedings IEEE International Conference on Communications ICC '95.

[8]  Adolf D. May,et al.  Traffic Flow Fundamentals , 1989 .

[9]  R Steele Deploying Personal Communication Networks , 1990 .

[10]  I Chih-Lin,et al.  Optimum location area sizes and reverse virtual call setup in PCS networks , 1995, 1995 IEEE 45th Vehicular Technology Conference. Countdown to the Wireless Twenty-First Century.

[11]  Stephen S. Rappaport,et al.  Traffic Model and Performance Analysis for Cellular Mobile Radio Telephone Systems with Prioritized and Nonprioritized Handoff Procedures - Version 2a , 2000 .

[12]  Richard S. Wolff,et al.  An estimate of network database transaction volume to support personal communications services , 1992, 1st International Conference on Universal Personal Communications - ICUPC '92 Proceedings.

[13]  G. P. Pollini,et al.  Signaling system performance evaluation for personal communications , 1996 .

[14]  R. Steele,et al.  Technologies on the horizon-deploying personal communication networks , 1990, IEEE Communications Magazine.

[15]  G. P. Pollini,et al.  The intelligent network signaling and switching costs of an alternate location strategy using memory , 1993, IEEE 43rd Vehicular Technology Conference.

[16]  C. Rose,et al.  Minimizing the average cost of paging and registration: A timer-based method , 1996, Wirel. Networks.