Topics of interest include, but are not limited to:
- Deep and Reinforcement learning for networking and communications in 5G networks
- Data mining and big data analytics in 5G networking
- Protocol design and optimization using AI/ML in 5G
- Self-learning and adaptive networking protocols and algorithms for 5G
- Intent & Policy-based management for intelligent networks
- Innovative architectures and infrastructures for intelligent networks
- AI/ML for network management and orchestration in 5G systems
- AI/ML for network slicing optimization in 5G systems
- AI/ML for service placement and dynamic Service Function Chaining in 5G systems
- AI/ML for C-RAN resource management and medium access control
- Decision making mechanisms
- Routing optimization based on flow prediction in 5G systems
- Data-driven management of software defined networks for 5G networks
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- Methodologies for network problem diagnosis, anomaly detection and prediction
- Reliability, robustness and safety based on AI/ML techniques
- Network Security based on AI/ML techniques in 5G
- AI/ML for multimedia networking in 5G systems
- AI/ML support for ultra-low latency applications in 5G scenarios
- AI/ML for IoT
- Open-source networking optimization tools for AI/ML applications
- Experiences and best-practices using machine learning in operational networks
- Novel context-aware, emotion-aware networking services
- Machine learning for user behavior prediction
- Modeling and performance evaluation for Intelligent Network
- Intelligent energy-aware/green communications
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This workshop is supported by the IEEE ComSoc Emerging Technical Initiative on Network Intelligence. Join us at the ETI NI as a member for cross-fertilization on Network Intelligence research activities. All information is available at http://ni.committees.comsoc.org/.
