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This paper explores the capability of machine learning (ML) techniques to enhance the performance of 5G networks. It addresses the various challenges encountered by 5G systems and demonstrates how ML algorithms can be leveraged to enhance network efficiency, throughput, and quality of service. The paper offers a thorough review of contemporary research in this domain and highlights potential avenues for future research and innovation.

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Empowering 5G Networks: Machine Learning Solutions for Optimization Challenges

  • 会议论文

  • 发表日期：

    2025年

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  • Anasuya Sengupta,
  • Aritro Paul,
  • Rounab Biswas,
  • Debjyoti Dutta,
  • Ankan Paul,
  • Uday Das

摘要

This paper explores the capability of machine learning (ML) techniques to enhance the performance of 5G networks. It addresses the various challenges encountered by 5G systems and demonstrates how ML algorithms can be leveraged to enhance network efficiency, throughput, and quality of service. The paper offers a thorough review of contemporary research in this domain and highlights potential avenues for future research and innovation.