LeZi-update: an information-theoretic approach to track mobile users in PCS networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Wireless ad hoc multicast routing with mobility prediction
Mobile Networks and Applications
IEEE Wireless Communications
Review of quality of service performance in wireless LANs and 3G multimedia application services
Computer Communications
QoS provisioning in cellular networks based on mobility prediction techniques
IEEE Communications Magazine
User mobility modeling and characterization of mobility patterns
IEEE Journal on Selected Areas in Communications
Mobility modeling, location tracking, and trajectory prediction in wireless ATM networks
IEEE Journal on Selected Areas in Communications
Predictive schemes for handoff prioritization in cellular networks based on mobile positioning
IEEE Journal on Selected Areas in Communications
Entropy-based knowledge spreading and application to mobility prediction
CoNEXT '05 Proceedings of the 2005 ACM conference on Emerging network experiment and technology
Optimal bandwidth allocation for multimedia mobile networks using particle swarm optimization
Mobility '07 Proceedings of the 4th international conference on mobile technology, applications, and systems and the 1st international symposium on Computer human interaction in mobile technology
Mobility prediction based on an ant system
Computer Communications
Logic and model checking for hidden markov models
FORTE'05 Proceedings of the 25th IFIP WG 6.1 international conference on Formal Techniques for Networked and Distributed Systems
Location Prediction Based on a Sector Snapshot for Location-Based Services
Journal of Network and Systems Management
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Several mechanisms increase the QoS level of mobile networks thanks to an underlying mobility prediction method (i.e. a means to predict a mobileýs next access router). This paper aims at studying how the accuracy of the prediction method can influence the network QoS in the particular context of call admission control. It shows that (a) the mobiles behaviour must be adapted according to the prediction scheme accuracy in order to achieve good performance and (b) the admission algorithm can be modified to increase its fairness and to give mobiles an incentive to do such an adaptation.