Mobility prediction method, system and device based on user classification

The invention belongs to the field of wireless communication and data mining, particularly relates to a mobility prediction method, system and device based on user classification, and aims at solvingthe problems that an existing user mobility detection method is poor in prediction accuracy and low i...

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Bibliographic Details
Main Authors LI YUNZHI, LIN QIANQIAN, YAN MING, JIN LIBIAO
Format Patent
LanguageChinese
English
Published 24.07.2020
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:The invention belongs to the field of wireless communication and data mining, particularly relates to a mobility prediction method, system and device based on user classification, and aims at solvingthe problems that an existing user mobility detection method is poor in prediction accuracy and low in precision. The method comprises the following steps: constructing a historical movement track sequence of a to-be-predicted user as a first sequence; based on the first sequence, obtaining a moving track sequence in a set time period as a second sequence, and obtaining a user type through a preset user type classification rule; obtaining the maximum step length k based on the user type, and constructing Markov state transition probability matrixes from 1 to k; obtaining the prediction accuracy of transferring to the next position from each position in the second sequence based on each matrix, and calculating the weight of the Markov model in each step; and calculating the probability of reaching each selected can
Bibliography:Application Number: CN202010306631