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Framework for Behavioral Analysis of Mobile Networks.

José Antonio Trujillo1, Isabel de-la-Bandera1, David Palacios2

  • 1Department of Communications Engineering, Universidad de Málaga, Campus de Teatinos, 29071 Málaga, Spain.

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Summary
This summary is machine-generated.

Fifth Generation (5G) network management is challenging. This study introduces a machine learning framework for cellular network behavior analysis and monitoring to improve network optimization.

Keywords:
Random ForestSelf-Organizing Maps (SOM)cell behaviormobile communication networks

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Area of Science:

  • Telecommunications Engineering
  • Network Management
  • Machine Learning Applications

Background:

  • Fifth Generation (5G) networks introduce complex scenarios with numerous users and diverse services.
  • Efficiently managing these heterogeneous networks presents a significant challenge for operators.
  • Automated, efficient algorithms are crucial for network optimization and management.

Purpose of the Study:

  • To present a novel framework for cellular network behavioral analysis and monitoring.
  • To develop a system capable of analyzing cell behavior and detecting changes over time.
  • To provide actionable insights for improving network management and optimization functions.

Main Methods:

  • Utilizing a combination of unsupervised and supervised machine learning techniques.
  • Implementing a framework for analyzing cellular network behavior.
  • Developing monitoring capabilities to detect behavioral shifts in network cells.

Main Results:

  • The proposed framework can effectively analyze cellular network behavior.
  • The system successfully monitors network cells for changes over time.
  • Extracted information provides a basis for enhanced network management.

Conclusions:

  • The developed framework offers a robust solution for cellular network behavioral analysis.
  • Machine learning techniques are effective in monitoring and managing complex 5G networks.
  • The system's insights can lead to improved network performance and optimization.