Recent development in machine learning has stimulated growing interests in applying machine learning to communication system design.While some researchers have advocated applying machine learning and deep learning tools to communication system design，others are doubtful as to how much benefit these tools can offer.Communication systems have been traditionally designed and optimized by generations of dedicated researchers and engineers for bandwidth，power，and complexity efficiency，as well as for reliability，leaving little room for improvement in most cases.Nevertheless，deep learning networks seem to suggest 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 the parameters based on easily generated training data.In other words，machine learning based approach may offer some alternatives for traditionally difficult tasks in wireless communicationsand networking.

This special issue seeks original articles on applying machine learning(including deep learning)to the design and optimization of communication system and wireless network.Topicsof interest include，but arenot limited to:

end-to-end transceiver design

demodulation/decodingbased on machinelearning

equalization

transmitter design，such as beamformingand precoding

wirelessnetworking

Both supervised learning and unsupervised learning methods are welcome.Reinforcement learning and recent development such as generative adversarial networks，and gametheoretic setupsarealsoof interest.

Guest Editors

WANGZhengdao，Iowa State University(USA)

ZHOUShengli，University of Connecticut(USA)

Important Dates

First Submission Due:Feb.1，2019

Reviewand Final Decision Due:Mar.10，2019

Final Manuscript Due:Apr.1，2019

Publication Date:Jun.25，2019

Manuscript Preparation

Manuscripts must be typed in English and submitted electronically in MS Word(or compatible)format.The word length is approximately 3000 to 8000，and no more than 8 figures or tables should be included.Authors are requested to submit mathematical material and graphics in an editable format.

Online Submission

Please submit your paper through the online submission system of the journal(https://mc03.manuscriptcentral.com/ztecom).