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 trends towards highly integrated networks and systems with diverse underlying technologies to support simultaneously multiple vertical industries have demanded complex operations. This represents a great challenge in designs of networks and systems. This workshop focuses on applying data driven AI technologies to deal with networks and systems, particularly the machine learning techniques that are based on empirical or simulated data. Topics that may 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
- Radio 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
Submission paper via EDAS here: https://edas.info/newPaper.php?c=25628
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Important Dates
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| Paper submission deadline: | February 2, 2019 (FINAL) |
| Author notification: | March 1, 2019 |
| Camera ready: | March 23, 2019 |
