Fundamentals of queueing theory (2nd ed.).
Fundamentals of queueing theory (2nd ed.).
Performance of Data Querying Operations in Universal Mobile Telecommunication Systems (UMTS)
INFOCOM '95 Proceedings of the Fourteenth Annual Joint Conference of the IEEE Computer and Communication Societies (Vol. 2)-Volume - Volume 2
Location Management Using Multicasting HLR in Mobile Networks
EurAsia-ICT '02 Proceedings of the First EurAsian Conference on Information and Communication Technology
A distributed database architecture for global roaming in next-generation mobile networks
IEEE/ACM Transactions on Networking (TON)
Mobility management scheme for reducing location traffic cost in IMT-2000 networks
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartII
Mobility management for INS in 3g mobile networks
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part II
Improved location management for reducing traffic cost in 3g mobile networks
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
IN service provision using VLR in IMT-2000 network
Computer Communications
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Abstract: A queueing model is developed for the database system which supports mobility management in personal communication systems (PCS). The end-to-end service delay is defined as the performance metric. The accuracy of the analytical model is validated by simulation. It is found that the analytical results show a close agreement to those from simulation over a significant range of system parameters. Three database system architectures proposed for PCS are studied, namely, the flat database system in GSM, the two-level hierarchical architecture, and the three-level hierarchical architecture. Based on the queueing model, the delay performance of these three architectures are compared. It is observed that the hierarchical architecture provides the best system performance and supports the highest user density. This is because the service arrival rate to the higher level large database is significantly reduced, due to the localized nature of calls and users in PCS.