DocumentCode :
156818
Title :
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
Link To Document :
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