A Hierarchical Feature-Based Time Series Clustering Approach for Data-Driven Capacity Planning of Cellular Networks

A Hierarchical Feature-Based Time Series Clustering Approach for Data-Driven Capacity Planning of Cellular Networks

The growing popularity of cellular networks among users, primarily due to affordable prices and high speeds, has escalated the need for strategic capacity planning to ensure a seamless end-user experience and profitable returns on network investments. Traditional capacity planning methods rely on st...

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Bibliographic Details
Main Authors: Vineeta Jain, Anna Richter, Vladimir Fokow, Mathias Schweigel, Ulf Wetzker, Andreas Frotzscher
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Transactions on Machine Learning in Communications and Networking
Subjects:
Capacity planning
cellular networks
data-driven analysis
time series clustering
Online Access:https://ieeexplore.ieee.org/document/11108703/
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