User pattern analysis in cellular systems

Li Xiang; Li Qing

doi:10.1109/MDM.2006.162

User pattern analysis in cellular systems

Li Xiang
, Li Qing

Department of Computer Science

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

Mobile Data Access has been an increasingly popular service along with the development of mobile technologies. Many research problems depend on the details of access requests when studying data access in the mobile environment. If we can get a whole picture of data service requests, it is possible to design a proper model and service mechanism according to the global situation. In this paper, we propose a user pattern analysis approach to predict the global user requests in cellular systems, which is composed of two parts: user movement pattern analysis and user access pattern analysis. Simulation results show that our approach achieves a good performance with an acceptable computational complexity. © 2006 IEEE.

Original language	English
Title of host publication	Proceedings - IEEE International Conference on Mobile Data Management
Volume	2006
DOIs	https://doi.org/10.1109/MDM.2006.162
Publication status	Published - 2006
Event	7th International Conference on Mobile Data Management, 2006. MDM 2006 - Nara, Japan Duration: 10 May 2006 → 12 May 2006

Publication series

Name
Volume	2006
ISSN (Print)	1551-6245

Conference

Conference	7th International Conference on Mobile Data Management, 2006. MDM 2006
Place	Japan
City	Nara
Period	10/05/06 → 12/05/06

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10.1109/MDM.2006.162

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title = "User pattern analysis in cellular systems",

abstract = "Mobile Data Access has been an increasingly popular service along with the development of mobile technologies. Many research problems depend on the details of access requests when studying data access in the mobile environment. If we can get a whole picture of data service requests, it is possible to design a proper model and service mechanism according to the global situation. In this paper, we propose a user pattern analysis approach to predict the global user requests in cellular systems, which is composed of two parts: user movement pattern analysis and user access pattern analysis. Simulation results show that our approach achieves a good performance with an acceptable computational complexity. {\textcopyright} 2006 IEEE.",

author = "Li Xiang and Li Qing",

year = "2006",

doi = "10.1109/MDM.2006.162",

language = "English",

isbn = "0769525261",

volume = "2006",

booktitle = "Proceedings - IEEE International Conference on Mobile Data Management",

note = "7th International Conference on Mobile Data Management, 2006. MDM 2006 ; Conference date: 10-05-2006 Through 12-05-2006",

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AU - Xiang, Li

AU - Qing, Li

PY - 2006

Y1 - 2006

N2 - Mobile Data Access has been an increasingly popular service along with the development of mobile technologies. Many research problems depend on the details of access requests when studying data access in the mobile environment. If we can get a whole picture of data service requests, it is possible to design a proper model and service mechanism according to the global situation. In this paper, we propose a user pattern analysis approach to predict the global user requests in cellular systems, which is composed of two parts: user movement pattern analysis and user access pattern analysis. Simulation results show that our approach achieves a good performance with an acceptable computational complexity. © 2006 IEEE.

AB - Mobile Data Access has been an increasingly popular service along with the development of mobile technologies. Many research problems depend on the details of access requests when studying data access in the mobile environment. If we can get a whole picture of data service requests, it is possible to design a proper model and service mechanism according to the global situation. In this paper, we propose a user pattern analysis approach to predict the global user requests in cellular systems, which is composed of two parts: user movement pattern analysis and user access pattern analysis. Simulation results show that our approach achieves a good performance with an acceptable computational complexity. © 2006 IEEE.

UR - https://www.scopus.com/pages/publications/33751067709

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-33751067709&origin=recordpage

U2 - 10.1109/MDM.2006.162

DO - 10.1109/MDM.2006.162

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 0769525261

SN - 9780769525266

VL - 2006

BT - Proceedings - IEEE International Conference on Mobile Data Management

T2 - 7th International Conference on Mobile Data Management, 2006. MDM 2006

Y2 - 10 May 2006 through 12 May 2006

ER -

User pattern analysis in cellular systems

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