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2023 | OriginalPaper | Chapter

A Method for Intelligently Evaluation the Integrity of 5G MR Data

Authors : Yuan Fang, Qintian Wang, Ao Shen, Pengcheng Liu, Jinhu Shen, Bao Guo, Zetao Xu, Jimin Ling

Published in: Signal and Information Processing, Networking and Computers

Publisher: Springer Nature Singapore

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Abstract

Measurement Report (MR) comes from all actual user equipment that use the service, it has the characteristics of comprehensive data and authentic source, which has been widely used in network optimization. This paper proposes a method for intelligently evaluating the integrity of 5G MR data based on machine learning algorithms, to get the standard sample data by modeling the number of MRO sampling and the relationship function of wireless performance, which verifies the integrity of the MR data reported on the existing network, thereby effectively improving the MR data quality.

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Metadata
Title
A Method for Intelligently Evaluation the Integrity of 5G MR Data
Authors
Yuan Fang
Qintian Wang
Ao Shen
Pengcheng Liu
Jinhu Shen
Bao Guo
Zetao Xu
Jimin Ling
Copyright Year
2023
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-19-3387-5_174