IEEE Global Communications Conference
9-13 December 2018 // Abu Dhabi, UAE
Gateway to a Connected World

WS-18: MLComm - Machine Learning for Communications

WS-18: MLComm - Machine Learning for Communications

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Scope of the Workshop

Recent developments in machine learning, especially in deep learning, has stimulated growing interests in applying machine learning to communication system design. While some researchers have advocated applying deep learning tools to communication system (especially receivers) design, others are doubtful as to how much benefits these tools can offer. On the one hand, communication systems have been designed and optimized by generations of dedicated researchers and engineers for bandwidth, power, and complexity efficiency, as well as reliability, leaving little room for improvements in most cases. On the other hand, deep learning networks, supported by results such as universal approximation theorem, seem to promise a simple design regime such that near optimal performance can be achieved by merely taking off-the-shelf deep learning models, applying them to communication design problems, and tuning them based on the easily generated training data. The deep learning based approach may offer some new design approaches for traditionally difficult signal processing tasks in communications.

This workshop is meant to stimulate the debate and provide a forum for researchers working in related problems to exchange ideas and recent results (both positive and negative ones) in applying machine learning to communications. The topics include applying machine learning to the following topics but are not limited to only these:

  • demodulation
  • equalization
  • error-control decoding
  • beamforming
  • spectrum sensing and sharing
  • energy harvesting
  • scheduling and medium access
  • security and protection
  • reliability
  • fault tolerance and self-healing

Both supervised learning and unsupervised learning methods are welcomed. Reinforcement learning, and recent developments such as generative adversarial networks, and game-theoretic setups are also of great interests.

Submission Instructions

The paper requirement is the same as that of the GLOBECOM 2018 symposium papers. Specifically, all submissions should be written in English with a maximum paper length of six (6) printed pages (10-point font) including figures without incurring additional page charges (maximum 1 additional page with over-length page charge if accepted).

The Program Committee reserves the right to not review papers that violate these formatting rules. Submitted papers must not have been previously published, or be under consideration for publication elsewhere. All submitted papers will be reviewed and judged on originality, technical correctness, relevance, and quality of presentation. All accepted papers must be presented at the workshop by one of the authors. Accepted papers will be published in the GLOBECOM2018 Workshops Proceedings and submitted to IEEE Xplore.

To submit a paper, click this link.

Important Dates

  • Paper Submission: July 1, 2018

  • Decision Notification: Aug. 15, 2018

  • Camera Ready: Sept. 15, 2018

Workshop co-Chairs

  • Zhengdao Wang, Iowa State University, <zhengdao@iastate.edu>
  • Ahmed Kamal, Iowa State University, <kamal@iastate.edu>

TPC Members

  • Hossam Afifi, Telecom SudParis
  • Ahmad Alsharoa, University of Central Florida
  • Paul de Kerret, EURECOM
  • Deniz Gunduz, Imperial College London
  • Song Han, University of Connecticut
  • Kinda Khawam, Université de Versailles St-Quentin
  • Qingwen Liu, Tongji University
  • Tim O'Shea, Virginia Tech
  • Zhaohui Wang, Michigan Technological University
  • Yonggang Wen, Nanyang Technological University
  • Shengli Zhou, University of Connecticut
 

 

 

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