Rethinking Behaviors and Activities of Base Stations in Mobile Cellular Networks Based on Big Data Analysis

• Published in: IEEE transactions on network science and engineering Vol. 7; no. 1; pp. 80 - 90
• Main Authors: Jiang, Dingde, Huo, Liuwei, Song, Houbing
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Base stations; Behavior; Big Data; big data technologies; call detail records; Cellular communication; Cellular networks; Cleaning; Correlation analysis; Cross correlation; Data analysis; Data models; Datasets; Feature extraction; Network behaviors; New technology; Pattern analysis; Poles and towers; predictability; Radio equipment; Stations; Wireless networks

This paper uses big data technologies to study base stations' behaviors and activities and their predictability in mobile cellular networks. With new technologies quickly appearing, current cellular networks have become more larger, more heterogeneous, and more complex. This provides network ma...