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Date: Sun, 28 Oct 2018 00:43:20 +1100
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From: Shui Yu <[log in to unmask]>
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*Call-for-Papers: IEEE Communications Magazine*

*Data Science and Artificial Intelligence for Communications*



The objective of the *Data Science and Artificial Intelligence for
Communications Series* of the IEEE Communications Magazine is to provide a
forum across industry and academia to advance the development of network
and system solutions using data science and artificial intelligence.

Advances of the Internet, mobile and fixed communications, and computing
have opened new frontiers for tomorrow’s data-centric society. New
applications are increasingly depending on machine-to-machine
communications, in turn creating untraditional workloads and demanding more
efficient and reliable infrastructures. Such immensely diverse traffic
workloads and applications will require dynamic and highly adaptive network
environments that are capable of self-optimization for the task at hand
while guaranteeing high reliability and ultra-low latency.

Networking devices, sensors, agents, meters, smart vehicles/systems
generate tremendous amounts of data while requiring new levels of security,
performance, and reliability. Such complexities demand new tools and
methodologies for effective services, management, and operation. Predictive
network analytics will have an important role in insight generation,
process automation required for adapting and scaling to new demands,
resolving issues before they impact operational performance (e.g. prevent
network failures, anticipate capacity requirements), and overall decision
making throughout the network. Data mining and analytic tools for inferring
quality of experience (QoE) signals are needed to improve user experience
and service quality.

Innovations in artificial intelligence, machine learning, reinforcement
learning and network data analytics introduce new opportunities in various
areas, such as channel modeling and estimation, cognitive communications,
interference alignment, mobility management, resource allocation, network
control and management, network tomography, multi-agent systems,
prioritization of network ultra-broadband deployments. These new analytic
platforms will help revolutionize our networks and user experience. Through
gathering, processing, learning and controlling the vast amounts of
information in an intelligent manner future networks will enable
unprecedented automation and optimization.

This Series solicits articles addressing numerous topics within its scope
including, but not limited to, the following:

·       All aspects of artificial intelligence, machine learning,
reinforcement learning and data analytics aiming at enabling and enhancing
next generation networks. The scope of issues that can be addressed
includes both conventional measures such as traffic management, QoE,
service quality, as well as future network behavior through intelligent
services and applications.

·       Methods, systems and infrastructure for the analysis of network,
service traffic and user behavior for efficient and reliable design of
networks, including deep learning and statistical methods for network
tomography.

·       Predictive analytics and artificial intelligence for network
optimization, network security, network assurance, and data privacy and
integrity. Diagnosis of network failures using analytics and AI.

·       Automated communication infrastructure among smart machines and
agents (including humans, e.g. speech and vision), and information fusion
for automation and enablement of multi-agent systems.

·       Communication and networking to facilitate smart data-centric
applications



*SUBMISSION GUIDELINES*

Manuscripts must be submitted through the magazine’s submissions
Website at *http://mc.manuscriptcentral.com/commag-ieee
<http://mc.manuscriptcentral.com/commag-ieee>*. You will need to register
and then proceed to the author center. On the manuscript details page,
please select *Data Science and Artificial Intelligence for
Communications* Series
from the drop-down menu.  Manuscripts should be tutorial in nature and
should not be under review for any other conference or journal.  They
should be written in a style comprehensible and accessible to readers
outside the specialty of the article.  Mathematical equations should not be
used. For detailed submission guidelines please refer to the magazine
website for the list of guidelines that must be followed by all submissions
to the IEEE Communications Magazine:
*https://www.comsoc.org/commag/paper-submission-guidelines
<https://www.comsoc.org/commag/paper-submission-guidelines>*

Authors are encouraged to contact the Series Editor before submitting an
article in order to ensure that the article will be appropriate for the
Series. Papers can be submitted anytime during the year. They will receive
a review process, and, if accepted, they will be published in the first
slot available for this Series.

*SERIES EDITORS*

*Irena Atov*
Microsoft
USA
*[log in to unmask] <[log in to unmask]>*



*Kwang-Cheng Chen*
University of South Florida
USA
*[log in to unmask] <[log in to unmask]>*



*Shui Yu*
University of Technology Sydney
Australia
*[log in to unmask] <[log in to unmask]>*

-- 

-----------------------------

Shui YU, PhD,  Professor

Editor for

IEEE Communications Surveys and Tutorials,

IEEE Transactions on Computational Social Systems,

IEEE Comm Letters, IEEE Access,

IEEE Internet of Things Journal, IEEE Communication Magazine,

Elsevier Journal of Network and Computer Applications.

School of Software, University of Technology Sydney,

Sydney,  Australia.

http://www.nsp.org.au/syu <http://www.deakin.edu.au/~syu>/

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