Performance of CDPD with timed hop and forced hop
Wireless Networks
Efficient Location and Paging Area Planning in Future Cellular Systems
Wireless Personal Communications: An International Journal
IEEE Transactions on Knowledge and Data Engineering
Counting handovers in a cellular mobile communication network: equilibrium renewal process approach
Performance Evaluation - Special issue: Internet performance and control of network systems
Mining User Moving Patterns for Personal Data Allocation in a Mobile Computing System
ICPP '00 Proceedings of the Proceedings of the 2000 International Conference on Parallel Processing
Cost-Efficient Design of Future Broadband Fixed Wireless Access Systems
Wireless Personal Communications: An International Journal
Resource management policies in GPRS systems
Performance Evaluation - Dependable systems and networks-performance and dependability symposium (DSN-PDS) 2002: Selected papers
IEEE Transactions on Mobile Computing
Wireless Personal Communications: An International Journal
A regression-based approach for mining user movement patterns from random sample data
Data & Knowledge Engineering
Optimized fast handover scheme in Mobile IPv6 networks to support mobile users for cloud computing
The Journal of Supercomputing
Exploring regression for mining user moving patterns in a mobile computing system
HPCC'05 Proceedings of the First international conference on High Performance Computing and Communications
Computationally efficient algorithms for location area planning in future cellular systems
Computer Communications
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There has been rapid growth in the demand for mobile communications that has led to intensive research and development of complex PCS (personal communication services) networks. Capacity planning and performance modeling are necessary to maintain a high quality of service to the PCS subscriber while minimizing costs. Effective and practical performance models for large-scale PCS networks are available. Two new performance models are presented in this article which can be solved using analytical techniques. The first is the so-called portable population model, based on the flow equivalent assumption (the rate of portables into a cell equals the rate of portables out of the cell). The model provides the steady-state portable population distribution in a cell that is independent of the portable residual time distribution, which can be used by simulations to reduce the necessary execution time by reaching the steady state more rapidly. Additionally, this model can be used to study the blocking probability of a low (portable) mobility PCS network and the performance of portable deregistration strategies. The second model is the so-called portable movement model which can be used to study location tracking and handoff algorithms. The model assumes that the arriving calls to a portable form a Poisson process, and portable residual times have a general distribution. This model can be used to study location-tracking algorithms and handoff algorithms. It is shown that under some assumptions, the analytic techniques are consistent with the simulation model