A prediction model of massive 5G network users’ revisit behavior based on telecom big data

A prediction model of massive 5G network users’ revisit behavior based on telecom big data

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Users in 5G networks will generate a large amount of access data, which makes it difficult to accurately predict users’ revisit behavior.Therefore, a prediction model of massive 5G network users’ revisit behavior based on telecom big data was proposed.The user’s historical online behavior characteri...

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Bibliographic Details
Main Author: Yudi SUN
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2023-02-01
Series:Dianxin kexue
Subjects:
telecom big data;prediction of users’ revisit behavior;multi order weighted Markov chain model;one step transition probability matrix;autocorrelation coefficient
Online Access:http://www.telecomsci.com/thesisDetails#10.11959/j.issn.1000-0801.2023026
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http://www.telecomsci.com/thesisDetails#10.11959/j.issn.1000-0801.2023026

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