Predictive and adaptive bandwidth reservation for hand-offs in QoS-sensitive cellular networks
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
An activity-based mobility model and location management simulation framework
MSWiM '99 Proceedings of the 2nd ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems
User mobility profile prediction: an adaptive fuzzy inference approach
Wireless Networks
LCN '00 Proceedings of the 25th Annual IEEE Conference on Local Computer Networks
Learning Significant Locations and Predicting User Movement with GPS
ISWC '02 Proceedings of the 6th IEEE International Symposium on Wearable Computers
Instruction scheduling using MAX-MIN ant system optimization
GLSVLSI '05 Proceedings of the 15th ACM Great Lakes symposium on VLSI
Mobility Prediction's Influence on QoS in Wireless Networks: A Study on a Call Admission Algorithm
WIOPT '05 Proceedings of the Third International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
A Mobility Prediction Architecture Based on Contextual Knowledge and Spatial Conceptual Maps
IEEE Transactions on Mobile Computing
Entropy-based knowledge spreading and application to mobility prediction
CoNEXT '05 Proceedings of the 2005 ACM conference on Emerging network experiment and technology
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
QoS provisioning in cellular networks based on mobility prediction techniques
IEEE Communications Magazine
Dividing sensitive ranges based mobility prediction algorithm in wireless networks
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Modelling and cost analysis of location management scheme for PCS networks
International Journal of Information and Communication Technology
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The third generation mobile networks allow the users to move while executing their multi-media and real time applications. These applications require resources mobilization not always available. To maintain high quality service without interruption, it is essential for network to be more intelligent to anticipate users' movements. It should be able to reserve the necessary resources in the future locations to be visited. We present in this paper an original solution for users' displacements prediction based on an Ants system behavior. This solution is adapted to small size cells such as micro-cell and pico-cell architectures. Carried out simulations show that one displacement can be predicted with very high degree of accuracy even if mobile history lacks.