Accuracy of random walk and Markovian mobility models in location prediction methods
- Resource Type
- Conference
- Authors
- Fulop, Peter; Szabo, Sandor; Szalka, Tamas
- Source
- 2007 15th International Conference on Software, Telecommunications and Computer Networks Software, Telecommunications and Computer Networks, 2007. SoftCOM 2007. 15th International Conference on. :1-5 Sep, 2007
- Subject
- Computing and Processing
Communication, Networking and Broadcast Technologies
Predictive models
Prediction methods
Bandwidth
Wireless sensor networks
Degradation
Economic forecasting
Wireless networks
Land mobile radio cellular systems
Prediction algorithms
Multiaccess communication
- Language
Recent wireless networks offer more bandwidth than ever. High quality services are develfoped and provided by the operators, the number of users is constantly increasing. As the transferred data and the number of terminals are growing, the network providers have to face the increasing complexity of the network management and operation tasks. In this paper we observe the estimation and prediction of users’ distribution in a cellular network. We compare the accuracy of mobility models serving for location prediction with our enhanced user motion prediction algorithm.