Open AccessResearch on the Demand of Broadband Wireless Mobile Applications Based on User Behavior
Author(s) -
Qizeng Zhang,
Biao Zhao,
Lei She
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1827/1/012030
Subject(s) - computer science , wireless , mobile broadband , function (biology) , cluster analysis , broadband , wireless broadband , wireless network , computer network , telecommunications , machine learning , evolutionary biology , biology
Based on the different behaviors of multi-user group, this paper gives a method of demand analysis of broadband wireless mobile application. The analysis of broadband wireless mobile application, based on user behavior samples, can adopt the method of fuzzy cluster analysis to classify the user behavior by setting different clustering level, and build the model of each type of user behavior. The function of broadband wireless mobile application is designed by using the function description template based on class diagram, and the relationship between its function and user group behavior is analyzed by mapping matrix. At last, based on the application function and user behavior correlation analysis, the user behaviors are transformed into the key indicators and requirements of the application function.