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Publications

Publication Date

Manuscript Submission Deadline

Special Issue

Call for Papers

Machine Learning (ML) has become a main hot topic in current years, since it covers an extremely vast area of human knowledge: from technology to economics, marketing, physics, weather forecasting, speech/image recognition, gaming, and others. In each of these applications, when an optimal decision has to be made in complex problems, ML stands out as a powerful and alternative method to solve or even to formulate such problems.  In particular, in the general field of networking, and more specifically in optical networking, ML has become a dominant area of research, and scientific studies, projects and publications that are adopting this technique are rapidly increasing.

All forms of ML (supervised, unsupervised, reinforcement) have been usefully applied in various contexts, from photonic transmission in the physical layer, to the control plane and IT-TLC integration, in the application layer.

This special issue aims at hosting original, unpublished, and breakthrough concepts on optical communications and networking, that make use of ML as a tool to solve complex problems.

The topics of interest include, but are not limited to:

  • Photonic transmission and physical layer impairments
  • Monitoring, fault detection and restoration
  • Predictive maintenance
  • Traffic prediction
  • Network planning and optimization
  • Traffic prediction and classification
  • Quantum cryptography
  • Optimal resource allocation in SDN/NFV optical networks
  • Edge and fog computing
  • Optical wide and metro -area network management
  • C-RAN optimization
  • Optical front-haul and back-haul supporting 5G /6G
  • ML in wireless optical communications

This SI will host contributed papers and one invited paper. All papers have to be novel and present unpublished results. Extended papers derived from previously-published conference papers will be accepted. A limited number of survey-type papers will be accepted.

Submission Guidelines

Submit manuscript to: https://mc.manuscriptcentral.com/oj-coms
For information regarding IEEE OJ-COMS including its publication policy and fees, please visit the website https://www.comsoc.org/publications/journals/ieee-ojcoms

Lead Guest Editor

Guido Maier, Politecnico di Milano, Milan, Italy

Guest Editors

José Alberto Hernández, Universidad Carlos III de Madrid, Spain
Zuqing Zhu, University of Science and Technology of China (USTC), Hefei, China
Jason Jue , The University of Texas at Dallas, Richardson, TX, USA