Counting handovers in a cellular mobile communication network: equilibrium renewal process approach
Performance Evaluation - Special issue: Internet performance and control of network systems
Modeling and performance analysis for wireless mobile networks: a new analytical approach
IEEE/ACM Transactions on Networking (TON)
A Novel Approach for Phase-Type Fitting with the EM Algorithm
IEEE Transactions on Dependable and Secure Computing
Mobility Modeling and Performance Evaluation of Heterogeneous Wireless Networks
IEEE Transactions on Mobile Computing
Pervasive and Mobile Computing
Network-based mobility management in the evolved 3GPP core network
IEEE Communications Magazine
Policy and charging control in the evolved packet system
IEEE Communications Magazine
Optimal Accounting Policies for AAA Systems in Mobile Telecommunications Networks
IEEE Transactions on Mobile Computing
The spatial effect of mobility on the mean number of handoffs: a new theoretical result
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Call performance for a PCS network
IEEE Journal on Selected Areas in Communications
Dynamic hierarchical mobility management strategy for mobile IP networks
IEEE Journal on Selected Areas in Communications
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Recently, cellular networks have witnessed major developments pertaining to user mobility, rich multimedia service offering and a melange of network access options including 3G/4G, WiFi, WiMAX, etc. As a result, sessions are expected to last longer and users are more likely to roam between access technologies and to other networks. As architectural design is advancing in all-IP cellular systems such as the Long Term Evolution (LTE), the question we propose to address is whether the established results on handoff and roaming statistics used in cellular theory still apply. To this end, we revisit the theory for handoff statistics and take up the challenge on extending the current model under general assumptions for session distributions, user mobility, network coverage and access technology. We show that the derived model yields estimates of handoff frequency and roaming statistics which cannot be obtained otherwise. The key strength of the proposed analysis is offering closed form results, which are easy to use and can lead to more accurate conclusions about the signaling load and the observed QoS, as a direct function of handoff statistics.