Machine Learning and 6G Wireless Communication

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 15 August 2024 | Viewed by 151

Special Issue Editor


E-Mail Website
Guest Editor
Institute for Communications Technology, Technical University of Braunschweig, Universitätsplatz 2, 38106 Braunschweig, Germany
Interests: communication and localization system optimization; channel estimation; Bayesian inference; unsupervised machine learning

Special Issue Information

Dear Colleagues,

As the modern 5G and beyond communication system becomes more complicated, its characterization and optimization likewise become increasingly challenging. Traditional analytical methods often require either suboptimal approximation or strong assumption. Moreover, the computation time might be too long for real-time systems. Machine learning is a promising solution to the above challenges. It applies the universal approximation property of deep neural networks and a data-driven approach to bypass the complicated system model. In this way, new dimensions of communication systems can be explored. This Special Issue will delve into both supervised and unsupervised machine learning approaches for different aspects of this field. Various machine learning approaches for estimation, recognition and optimization are discussed.

Topics of interest:

  1. Machine learning for communication resource allocation;
  2. Machine learning for massive connectivity and URLLC;
  3. Machine learning for semantic communication;
  4. Machine learning for physical layer security;
  5. Machine learning for communication signal processing;
  6. Machine learning for energy efficient communication;
  7. Communication optimization for federated learning;
  8. Unsupervised machine learning for communication;
  9. Reinforcement learning for communication;
  10. Machine learning for smart radio propagation environment.

Dr. Bile Peng
Guest Editor

Manuscript Submission Information

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Keywords

  • semi-supervised machine learning
  • unsupervised machine learning
  • machine learning
  • resource allocation
  • physical layer security
  • wireless communication
  • 6G or beyond 5G

Published Papers

This special issue is now open for submission.
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