A novel methodology of data analytics and modeling to evaluate LTE network performance

Author

Ye Ouyang ; Fallah, M. Hosein ; Hu, Song ; Yong, Yong Ren ; Hu, Ya ; Lai, Zu-Hao ; Guan, Minyuan ; Lu, Wei D.

Author_Institution

Stevens Inst. of Technol., Hoboken, NJ, USA

fYear

2014

fDate

9-11 April 2014

Firstpage

1

Lastpage

10

Abstract

Big Data and LTE are two hot topics in their respective field. Is there a synergy effect between the two techniques? Traditionally various simulation based approaches are developed to study wireless network performance. However simulation has its own limitations. In this paper, the authors develop a methodology of data analytics and modeling to evaluate LTE network performance based upon traffic measurements and service growth trends. The overall model is finally validated and shows high accuracy, robustness, and reliability.

Keywords

Big Data; Long Term Evolution; data analysis; telecommunication traffic; Big Data; LTE network performance; data analytics; data modeling; traffic measurements; wireless network performance; Analytical models; Data models; Equations; Long Term Evolution; Market research; Mathematical model; Telecommunication traffic; Big Data; Data Analytics; LTE; Network Analytics; Network Performance; Network Resource; Statistical Modeling; UMTS;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Telecommunications Symposium (WTS), 2014

Conference_Location

Washington, DC

Type

conf

DOI

10.1109/WTS.2014.6835006

Filename

6835006