Call For Papers
Network Intelligence considers the embedding of Artificial Intelligence (AI) in future networks to fasten service delivery and operations, leverage Quality of Experience (QoE) and guarantee service availability, also allowing better agility, resiliency, faster customization and security. This concept inherits the solid background of autonomic networking, cognitive management, and artificial intelligence. It is envisioned as mandatory to manage, pilot and operate the forthcoming network built upon SDN, NFV and cloud.
The main goal of the Network Intelligence Workshop is to present state-of-the-art research results and experience reports in the area of network intelligence, addressing topics such as artificial intelligence techniques and models for network and service management; smart service orchestration and delivery, dynamic Service Function Chaining, Intent and policy based management, centralized vs distributed control of SDN/NFV based networks, analytics and big data approaches, knowledge creation and decision making. This workshop offers a timely venue for researchers and industry partners to present and discuss their latest results in Network Intelligence. The main topic of this NI 2020 edition is “Learning and Optimizing Future Networks” which puts the attention on the particular application of network intelligence and machine learning to optimization in future network scenarios.
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
• 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
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/.
Important Dates
Submission Deadline: January 15, 2020
Notification of Acceptance: February 7, 2020
Camera Ready: April 10, 2020 (extended)
