Machine Learning-Based Imputation Approach with Dynamic Feature Extraction for Wireless RAN Performance Data Preprocessing

Machine Learning-Based Imputation Approach with Dynamic Feature Extraction for Wireless RAN Performance Data Preprocessing

Machine learning (ML) in wireless mobile communication is becoming more and more customary, with application trends leaning toward performance improvement and network automation. The radio access network (RAN), critical for service access, frequently generates performance data that mobile network op...

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Bibliographic Details
Main Authors: Jean Nestor M. Dahj, Kingsley A. Ogudo
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Symmetry
Subjects:
machine learning (ML)
data imputation
radio access network (RAN)
data preprocessing
telecommunications
mobile network operators (MNOs)
Online Access:https://www.mdpi.com/2073-8994/15/6/1161

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https://www.mdpi.com/2073-8994/15/6/1161

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