Call for Papers

The 3-rd IEEE International Workshop on Data Driven Intelligence for Networks and Systems (DDINS)
Organized in conjunction with
IEEE International Conference on Communications (ICC 2021)
14-18 June 2021 // Montreal, Canada

Web link: https://icc2021.ieee-icc.org/

The first DDINS: https://icc2019.ieee-icc.org/workshop/w15-first-international-workshop-data-driven-intelligence-networks-and-systems-ddins

The second DDINS: https://infocom2020.ieee-infocom.org/workshop-data-driven-intelligence-networks-and-systems

Paper submission deadline: February 19, 2021 (FIRM)
Notification of acceptance:  March 22, 2021
Camera-ready papers:  March 31, 2021
EDAS submission link: https://www.edas.info/newPaper.php?c=27867

The extended selected accepted papers in this workshop will be recommended for publications in Series on Data Driven Intelligence, Sustainability, and Systems, Intelligent and Converged Networks （journal jointly published by International Telecommunication Union (ITU) and Tsinghua University Press (TUP)）http://icn.tsinghuajournals.com/EN/column/item1649.shtml

Network traffic is expected to grow exponentially in the next decade thanks to the advances in smart devices, Internet of Things (IoT) and cloud computing. Not only the volume of the traffic is increasing, the characteristics of the traffic are also becoming more diverse. To properly manage traffic diversity, different but coherent strategies are needed at different protocol layers, and this often results in complex designs in the network which are difficult to deploy and manage. The recent advancement in artificial intelligence (AI) technology has provided a promising approach to deal with complex problems faced in the network and/or systems design and operation.  The trend towards highly integrated networks with diverse underlying access technologies to support simultaneously multiple vertical industries has demanded complex operation in the network and/or systems. This represents a great challenge in network and/or systems design.

This Workshop focuses on applying AI technologies to deal with the networks and/or systems, particularly the machine learning techniques that are based on empirical or simulated data. Topics that may apply data driven intelligence to manage the complexity of a smart networks and/or systems include, but not limited to:

* Data driven intelligence supported approaches and technologies 
* Data driven intelligence supported applications and systems 
* Quality of Service (QoS) and Quality of Experience (QoE) support 
* Resource allocation and transmission scheduling 
* Medium access control design 
* Data centers and cloud systems 
* Radio access technology selection 
* Spectrum sharing in intra- and inter-tier HetNets 
* Traffic load estimation and resource reservation 
* User mobility prediction and handover support 
* Network fault detection and self-healing 
* Network self-configuration and self-organization 
* Intrusion detection and self-protection 
* Machine learning relevant topics 
* Relevant Analysis and modelling 

Submission Procedure
Submitted papers must represent original material which is not currently under review in any other conference or journal and has not been previously published. Paper length should not exceed six-page standard IEEE conference two-column format (including all text, figures, and references). Full details of submission procedures and requirements for authors of accepted papers are available at https://icc2021.ieee-icc.org/. All submitted papers will go through a peer review process. All accepted and presented papers will be included in the IEEE ICC 2021 proceedings and submitted to IEEE Xplore. IEEE reserves the right to exclude an accepted and registered but not presented paper from the IEEE digital library.

 General Chairs:
– Jinsong Wu, Universidad de Chile, Chile (wujs AT ieee.org))
– Celimuge Wu, University of Electro-Communications, Japan (celimuge AT uec.ac.jp)
– Periklis Chatzimisios, International Hellenic University, Greece (pchatzimisios AT ihu.gr)

 Technical Program Chairs:
– Chuan Heng Foh, University of Surrey, UK (c.foh AT surrey.ac.uk)
– Xianfu Chen, VTT Technical Research Centre of Finland, Finland  (xianfu.chen AT vtt.fi)
– Muhammad Imran, University of Glasgow, UK (Muhammad.Imran AT glasgow.ac.uk)

 Publicity Chairs:
– William Liu, Auckland University of Technology, New Zealand (william.liu AT aut.ac.nz)
– Chunguo Li, Southeast University, China (chunguoli AT seu.edu.cn)

 Steering Committee:
– Chuan Heng Foh, University of Surrey, UK
– Jinsong Wu, Universidad de Chile, Chile
– Periklis Chatzimisios, International Hellenic University, Greece