Multivariate Multiple Regression Models for a Big Data-Empowered SON Framework in Mobile Wireless Networks
Joint Authors
Shin, Yoonsu
Chae, Chan-Byoung
Kim, Songkuk
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-06
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Telecommunications Engineering
Abstract EN
In the 5G era, the operational cost of mobile wireless networks will significantly increase.
Further, massive network capacity and zero latency will be needed because everything will be connected to mobile networks.
Thus, self-organizing networks (SON) are needed, which expedite automatic operation of mobile wireless networks, but have challenges to satisfy the 5G requirements.
Therefore, researchers have proposed a framework to empower SON using big data.
The recent framework of a big data-empowered SON analyzes the relationship between key performance indicators (KPIs) and related network parameters (NPs) using machine-learning tools, and it develops regression models using a Gaussian process with those parameters.
The problem, however, is that the methods of finding the NPs related to the KPIs differ individually.
Moreover, the Gaussian process regression model cannot determine the relationship between a KPI and its various related NPs.
In this paper, to solve these problems, we proposed multivariate multiple regression models to determine the relationship between various KPIs and NPs.
If we assume one KPI and multiple NPs as one set, the proposed models help us process multiple sets at one time.
Also, we can find out whether some KPIs are conflicting or not.
We implement the proposed models using MapReduce.
American Psychological Association (APA)
Shin, Yoonsu& Chae, Chan-Byoung& Kim, Songkuk. 2016. Multivariate Multiple Regression Models for a Big Data-Empowered SON Framework in Mobile Wireless Networks. Mobile Information Systems،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1111429
Modern Language Association (MLA)
Shin, Yoonsu…[et al.]. Multivariate Multiple Regression Models for a Big Data-Empowered SON Framework in Mobile Wireless Networks. Mobile Information Systems No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1111429
American Medical Association (AMA)
Shin, Yoonsu& Chae, Chan-Byoung& Kim, Songkuk. Multivariate Multiple Regression Models for a Big Data-Empowered SON Framework in Mobile Wireless Networks. Mobile Information Systems. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1111429
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111429