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CellRep: usage representativeness modeling and correction based on multiple city-scale cellular network
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Zuo, Chaoji. CellRep: usage representativeness modeling and correction based on multiple city-scale cellular network. Retrieved from https://doi.org/doi:10.7282/t3-b6kc-ms53

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TitleCellRep: usage representativeness modeling and correction based on multiple city-scale cellular network
NameZuo, Chaoji (author); Zhang, Desheng (chair); Chen, Yingying (co-chair); Ortiz, Jorge (outside member); Yuan, Bo (outside member); Rutgers University; School of Graduate Studies
Date Created2020
Other Date2020-05 (degree)
SubjectMobile communication systems, Electrical and Computer Engineering
Extent1 online resource (ix, 40 pages) : illustrations
DescriptionUnderstanding representativeness in cellular web logs at city scale is essential for web applications. Most of the existing work on cellular web analyses or applications is built upon data from a single network in a city, which may not be representative of the overall usage patterns since multiple cellular networks coexist in most cities in the world. In this thesis, we conduct a comprehensive investigation of multiple cellular networks in a city with a 100% user penetration rate. We study web usage patterns (e.g., internet access services) correlation and difference between diverse cellular networks in terms of spatial and temporal dimensions to quantify the representativeness of web usage from a single network in usage patterns of all users in the same city. Moreover, relying on three external datasets, we study the correlation between the representativeness and contextual factors (e.g., Point-of-Interest, population, and mobility) to explain the potential causalities for the representativeness difference. We found that contextual diversity is a key reason for representativeness difference, and representativeness has a significant impact on the performance of real-world applications. Based on the analysis results, we further design a correction model to address the bias of single cellphone networks and improve representativeness by 45.8%.
NoteM.S.
NoteIncludes bibliographical references
Genretheses, ETD graduate
Persistent URLhttps://doi.org/doi:10.7282/t3-b6kc-ms53
LanguageEnglish
CollectionSchool of Graduate Studies Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
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