Matrix analysis
Fundamentals of queueing theory (2nd ed.).
Fundamentals of queueing theory (2nd ed.).
Movement-based location update and selective paging for PCS networks
IEEE/ACM Transactions on Networking (TON)
Channel Occupancy Times and Handoff Rate for Mobile Computing and PCS Networks
IEEE Transactions on Computers
Hyper-Erlang distribution model and its application in wireless mobille networks
Wireless Networks - Special issue: Design and modeling in mobile and wireless systsems
Implied costs for multirate wireless networks
Wireless Networks
Lack of Invariant Property of the Erlang Loss Model in Case of MAP Input
Queueing Systems: Theory and Applications
Theory, Volume 1, Queueing Systems
Theory, Volume 1, Queueing Systems
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
International Journal of Mobile Network Design and Innovation
Framework of applying a non-homogeneous Poisson process to model VoIP traffic on tandem networks
AIC'10/BEBI'10 Proceedings of the 10th WSEAS international conference on applied informatics and communications, and 3rd WSEAS international conference on Biomedical electronics and biomedical informatics
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Multi-cell mobility model and performance analysis for wireless cellular networks are presented. The mobility model plays an important role in characterizing different mobility-related parameters such as handoff call arrival rate, blocking or dropping probability, and channel holding time. We present a novel tractable multi-cell mobility model for wireless cellular networks under the general assumptions that the cell dwell times induced by mobiles' mobility and call holding times are modeled by using a general distribution instead of exponential distribution. We propose a novel generalized closed-form matrix formula to support the multi-cell mobility model and call holding time with general distributions. This allows us to develop a fixed point algorithm to compute loss probabilities, and handoff call arrival rate under the given assumptions. In order to reduce computational complexity of the fixed point algorithm, the channel holding time of each cell is down-modeled into an exponentially distributed one for purposes of simplification, since the service time is insensitive in computing loss probabilities of each cell due to Erlang insensitivity. The accuracy of the multi-cell analytic mobility model is supported by the comparison of the simulation results and the analytic ones.