Title: Mobility Prediction for Dynamic Location Area in Cellular Network Using Hidden Markov Model
Abstract: To provide good quality of services to Mobile Users (MU) is main aim of every Cellular network. Radio bandwidth is critical resources which should be used optimally. More bandwidth is consumed due to frequent Location Update and paging. So, if we know the location of Mobile users in advance Location update and more paging can be reduced. In this paper, we implemented HMM method to predict current location of mobile user in Cellular network based on their previous mobility pattern and behavior. By the implementation, results shows that based on previous state of mobile user we can able to predict its current location. If previous state history is more than chance of getting accurate location of mobile user is higher.
Publication Year: 2017
Publication Date: 2017-07-21
Language: en
Type: book-chapter
Indexed In: ['crossref']
Access and Citation
Cited By Count: 6
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