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2019 | OriginalPaper | Buchkapitel

User Perception Aware Telecom Data Mining and Network Management for LTE/LTE-Advanced Networks

verfasst von : Lexi Xu, Xueqing Zhao, Yuting Luan, Baisong Ren, Xinzhou Cheng, Yuhui Han, Fan Zhang, Jie Gao

Erschienen in: Signal and Information Processing, Networking and Computers

Verlag: Springer Singapore

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Abstract

User perception is the key for telecom operators. In order to keep good user perception, telecom operators employ network optimization and construction. In this paper, a novel user perception aware network management (UPNM) algorithm is designed for LTE/LTE-Advanced cellular networks. Initially, UPNM algorithm integrates a series of telecom data, which relates to users and cellular networks. On the basis of data, user perception is analyzed to find the cells with low quality of service (QoS). Then, UPNM algorithm analyzes the network interference and coverage and takes methods to deal with the interference and coverage problem. Finally, both the cell total service and capacity are analyzed, in order to manage the network capacity. We implement the proposed UPNM algorithm to the realistic cellular systems in a Chinese city. The UPNM algorithm can help telecom operators manage the mobile cellular networks.

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Vorheriges Kapitel Data Quality Management and Measurement
Nächstes Kapitel High-Speed Railway Mobile Communication Network Optimization Based on Big Data Analysis
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Metadaten
Titel
User Perception Aware Telecom Data Mining and Network Management for LTE/LTE-Advanced Networks
verfasst von
Lexi Xu
Xueqing Zhao
Yuting Luan
Baisong Ren
Xinzhou Cheng
Yuhui Han
Fan Zhang
Jie Gao
Copyright-Jahr
2019
Verlag
Springer Singapore
Buch
Signal and Information Processing, Networking and Computers

Print ISBN: 978-981-13-1732-3

Electronic ISBN: 978-981-13-1733-0

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-981-13-1733-0_29

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