… Markov prediction model based on mobile user classification. The trajectory information of a
user is extracted first by analyzing real mobile … user’s trajectory is measured using the mobile …

… For example, communication operators in Hangzhou, as of the end of 2021, about 4.5% of
the LTE mobile phone reporting ratios in network statistics. The data sources in the fingerprint …

… Hidden Markov Model based user mobility analysis in LTE network. In Proceedings of the
2014 International Symposium on Wireless Personal Multimedia Communications (WPMC), …

… with the dynamic order adaptively determined by users’ personal frequent patterns is also …
to predict users’ mobility. Another extension of the Markov model is the hidden Markov model (…

… based criteria. • We design and evaluate per-app modeling and prediction by means of
Hidden Markov … traffic, applied to 4G/5G network traffic [24]. The results showed that the end-to-…

… various scenarios where analysis of human mobility is important. Various real-world examples
have been discussed like LTE network data, photographic data of user movement, taxicab …

… Hidden Markov model based user mobility analysis in LTE network. In Proceedings of
2014 … Big data driven hidden Markov model based individual mobility prediction at points of …

… Hidden Markov model based user mobility analysis in LTE network. In Proceedings of
2014 … Big data driven hidden Markov model based individual mobility prediction at points of …

… cognitive radio; user mobility modeling, handover management, … higher-order Markov chain
and Hidden Markov models, and tries … on KPI parameters data gathered from LTE network for …

… networks controlled by binary Markovian events. First, we apply the forward algorithm with
hidden Markov models … class barring for M2M communications in LTE networks,” in Proc. IEEE …