On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
Movement-based location update and selective paging for PCS networks
IEEE/ACM Transactions on Networking (TON)
Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
Mobile users: to update or not to update?
Wireless Networks
Optimal dynamic mobility management for PCS networks
IEEE/ACM Transactions on Networking (TON)
General Modeling and Performance Analysis for Location Management in Wireless Mobile Networks
IEEE Transactions on Computers
A forwarding strategy to reduce network impacts of PCS
INFOCOM '95 Proceedings of the Fourteenth Annual Joint Conference of the IEEE Computer and Communication Societies (Vol. 2)-Volume - Volume 2
Reducing authentication signaling traffic in third-generation mobile network
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
Movement-based mobility management and trade off analysis for wireless mobile networks
IEEE Transactions on Computers
User mobility modeling and characterization of mobility patterns
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Statistical analysis of CCSN/SS7 traffic data from working CCS subnetworks
IEEE Journal on Selected Areas in Communications
Modeling call holding time distributions for CCS network design and performance analysis
IEEE Journal on Selected Areas in Communications
Modelling and cost analysis of location management scheme for PCS networks
International Journal of Information and Communication Technology
An efficient metric-based (EM-B) location management scheme for wireless cellular networks
Journal of Network and Computer Applications
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In the wireless mobile networks, location update (LU) and paging are two basic operations in the framework of mobility management. The trade-off analysis between LU and paging is traditionally performed under the assumption that the key variables follow exponential distribution. However, recent work showed that such assumptions may be incorrect. In this paper, by introducing the concept of LU inter-arrival time and additionally relaxing the assumptions for the inter-service time, cell residence time and LU inter-arrival time, we present an analytical technique to develop the closed-form formula for the signaling cost applicable to different location management schemes. Specifically, the result is applied to the static scheme and the dynamic movement-based scheme to demonstrate the general applicability. Illustrative numerical examples are given to compare the location management scheme performance based on the cell characteristics.