Frontiers in queueing
Multi-sensor location tracking
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Location-aware mobile applications based on directory services
Mobile Networks and Applications - Special issue on protocols and software paradigms of mobile networks
IEEE/ACM Transactions on Networking (TON)
Performance modeling of location tracking systems
ACM SIGMOBILE Mobile Computing and Communications Review
Location uncertainty in mobile networks: a theoretical framework
IEEE Communications Magazine
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Wireless internet wireless + internet
Wireless internet handbook
Real-Time Mobility Tracking Algorithms for Cellular Networks Based on Kalman Filtering
IEEE Transactions on Mobile Computing
Mobile learning support with statistical inference-based cache management
ICWL'07 Proceedings of the 6th international conference on Advances in web based learning
Performance evaluation with hidden markov models
PERFORM'10 Proceedings of the 2010 IFIP WG 6.3/7.3 international conference on Performance Evaluation of Computer and Communication Systems: milestones and future challenges
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In a wireless communications network, the movement of mobile users presents significant technical challenges to providing efficient access to the wired broadband network. In this paper, we construct a new analytical/numerical model that characterizes mobile user behavior and the resultant traffic patterns. The model is based on a semi-Markov process representation of mobile user behavior in a general state-space. Using a new algorithm for parameter estimation of a general Hidden Semi-Markov Model (HSMM), we develop an efficient procedure for dynamically tracking the parameters of the model from incomplete data. We then apply our integrated model to obtain estimates of the computational and bandwidth resources required at the wireless/wired network interface to provide high performance wireless Internet access and quality-of-service to mobile users. Finally, we develop a threshold-based admission control scheme in the wireless network based on the velocity information that can be extracted from our model.