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ICC2019 DDINS Workshop 2019 : ICC2019 First International Workshop on Data Driven Intelligence for Networks and Systems


When May 20, 2019 - May 24, 2019
Where Shanghai
Submission Deadline Feb 2, 2019
Notification Due Mar 1, 2019
Final Version Due Mar 23, 2019
Categories    data   machine learning   networks   systems

Call For Papers


ICC 2019 First International Workshop on Data Driven Intelligence for Networks and Systems (DDINS)

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. While many advanced communication technologies have been proposed to push up the network capacity, increasing capacity alone is inadequate to deal with the traffic diversity. 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 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. This represents a great challenge in network design. This Workshop focuses on applying AI technologies to deal with the design complexity in wireless networks, particularly the machine learning techniques that are based on empirical or simulated data. Topics that may apply data driven intelligence to manage networks and systems include, but not limited to:
- 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
- Data driven intelligence supported approaches and technologies
- Data driven intelligence supported applications and systems

Important Dates
Paper submission deadline: 2 February 2019
Author notification: 1 March 2019
Camera ready: 23 March 2019

General Co-chairs:
- Chuan Heng Foh, University of Surrey, UK
- Jinsong Wu, Universidad de Chile, Chile

TPC Co-chairs
- Periklis Chatzimisios, ATEITHE, Greece
- Muhammad Ali Imran, University of Glasgow, UK

Keynote & Panel chair
- Ali Imran, University of Oklahoma, US

Publicity Chairs
- William Liu, Auckland University of Technology, New Zealand
- Xiaojiang Du, Temple University, US
- Richard Demo Souza, UFSC Brazil
- Chee Yen (Bruce) Leow, Universiti Teknologi Malaysia, Malaysia

Steering Committee
- Chuan Heng Foh, University of Surrey, UK
- Jinsong Wu, Universidad de Chile, Chile
- Periklis Chatzimisios, ATEITHE, Greece

Technical Sponsorship
- IEEE Technical Committee on Big Data (TCBD)
- IEEE Technical Committee on Green Communications and Computing (TCGCC)

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