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IEEE IoT J - SI on AI IoT 2018 : IEEE IoT Journal - Special Issue on AI-Enabled Cognitive Communications and Networking for IoT


When N/A
Where N/A
Submission Deadline May 1, 2018
Notification Due Sep 15, 2018
Final Version Due Oct 15, 2018
Categories    machine learning   artificial intelligence   internet of things   communications

Call For Papers

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IEEE IoT Journal - Special Issue on AI-Enabled Cognitive Communications and Networking for IoT

Submissions Deadline: May 1, 2018
First Reviews Due: July 15, 2018
Revision Due: August 15, 2018
Second Reviews Due/Notification: September 15, 2018
Final Manuscript Due: October 15, 2018
Publication Date: 2018
As we enter the Internet of Things (IoT) era in which the communication network is becoming increasingly dynamic, heterogeneous, and complex, it is desirable to have cognitive communication systems and networks that possess multiple interacting capabilities for situation assessment, resource management, online/distributed learning, big-data processing, and intelligent decision making. AI techniques such as deep learning, probabilistic graph model, and reinforcement learning, aided with big data and IoT, provide a wide variety of tools and solutions to many new problems encountered in the design, operation and optimization of cognitive communication systems and networking, including resource management, situation assessment, channel identification, anomaly detection, root cause analysis, online/distributed learning.

This special issue aims to bring together researchers and engineers in the fields of IoT, communications & networking, AI, machine learning, and big data to address the emerging challenges in general area of AI enabled cognitive communication and networking for IoT. The topics include, but are not limited to
Design of cognitive communication system by AI
Performance monitoring in mobile networks
IoT network design & optimization
Resource management over networks
SDN design & optimization by machine learning
Graph computing for communication networks
Mobile application behaviors & recommendation
Signal processing over networks and graphs
Stochastic optimization & online learning
Machine learning-enabled security methods for IoT
Sequential analysis and reinforcement learning for IoT
Deep learning applications for IoT
Big data system management in IoT
Machine learning and big data for 5G
Machine learning aided channel identification and estimation
Distributed learning in multi-agent systems
Multimodal data analysis & information fusion in IoT
Anomaly detection & root cause analysis for network data

All original manuscripts or revisions to the IEEE IoT Journal must be submitted electronically through IEEE Manuscript Central, Author guidelines and submission information can be found at The IEEE IoT Journal encourages authors to suggest potential reviewers as part of the submission process, which might help to expedite the review of the manuscript. Please suggest only those without conflict of interest. Each submission must be classified by appropriate keywords.

Guest Editors:

Dr. Kai Yang, TongJi University, China
Dr. Sijia Liu, MIT-IBM Watson AI Lab, USA
Dr. Yasin Yilmaz, University of South Florida, USA
Dr. Pin-Yu Chen, IBM Thomas J. Watson Research Center, USA
Dr. Lin Cai, University of Victoria, Canada
Dr. Anwar Walid, Nokia Bell Labs Research, USA

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