A Real-Time Hidden Anomaly Detection of Correlated Data in Wireless Networks

A Real-Time Hidden Anomaly Detection of Correlated Data in Wireless Networks

Wireless networks have been generating a plethora of unstructured and highly-correlated big data with hidden anomalies. The anomalies may bring inaccurate predictions of network behaviors, which further lead to inefficient system designs such as proactive caching placement. Current Random Matrix The...

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Bibliographic Details
Main Authors: Tengfei Sui, Xiaofeng Tao, Shida Xia, Hui Chen, Huici Wu, Xuefei Zhang, Kechen Chen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Anomaly detection
random matrix theory
data decomposition
network traffic prediction
big data
5G and beyond
Online Access:https://ieeexplore.ieee.org/document/9050719/

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