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Publication Date

Manuscript Submission Deadline

Special Issue

Call for Papers

Machine learning and data driven approaches have recently received much attention as a key enabler for future 5G and beyond wireless networks. Yet, the evolution towards learning-based data driven networks is still in its infancy, and much of the realization of the promised benefits requires thorough research and development. Fundamental questions remain as to where and how ML can really complement the well-established, well-tested communication systems designed over the last 4 decades. Moreover, adaptation of machine learning methods is likely needed to realize their full potential in the wireless context. This is particularly challenging for the lower layers of the protocol stack, where the constraints, problem formulation, and even the objectives may fundamentally differ from the typical scenarios to which machine learning has been successfully applied in recent years. In addition, a deep understanding of the fundamental performance limits is also essential in order to establish quality-of-service guarantees that are common in communication system design. All such research challenges lie at the core of this special issue. In order to address these problems, the issue solicits original research papers that address the following non-exhaustive list of topics:

  • Neural networks for wireless communication links (incl. autoencoders, generative adversarial networks etc)
  • Data-driven optimization of wireless networks
  • Distributed machine learning for wireless communications
  • Deep reinforcement learning for wireless communications
  • Machine learning based testbeds and experimental evaluations
  • Machine learning for network orchestration
  • Machine learning for video caching, delivery and streaming over wireless networks
  • Machine learning for resource allocation in wireless networks

Submission Guidelines

Prospective authors must follow the IEEE J-SAC manuscript format described in the Information for Authors. Authors MUST submit their draft manuscripts through EDAS.

Important Dates

Paper Submission: 15 December 2018 (No extension)
First Round Notification to Authors: 5 March 2019
Revised Manuscript Due: 5 April 2019
Final Notification: 20 May 2019
Publication: Third Quarter 2019

Guest Editors

Prof. David Gesbert (Lead Editor)

Prof. Deniz Gunduz
Imperial College London

Dr. Paul de Kerret

Prof. Chandra Murthy
Indian Institute of Science, Bangalore

Prof. Mihaela van der Schaar
University of Oxford, the Alan Turing Institute and University of California Los Angeles (UCLA)

Prof. Nicholas D. Sidiropoulos
University of Virginia