+============================================================+
Call for papers
IEEE Globecom 2021 2nd Workshop on
Network Management for 6G Communication Systems (NetMan6G)
7-11 December 2021, Madrid, Spain
+============================================================+
Current ongoing deployment of 5G is regularly exposing the integral limits of the system compared to what promised during the last decade such as Ultra-Reliable Low-Latency Communication (URLLC). This pushes the research community to focus on bringing in new, innovative, relevant technologies keeping the vision of 6G networks intact. Our Futuristic world will be more digitized, Intelligent, connected and data driven as demand is growing exponentially. Futuristic services such connected Robots, autonomous vehicles, e-health,
trustable food supply chain mechanisms, entertainment services broadcasting (Netflix, Amazon Prime) etc. will be highly dependent on instantaneous, virtually limitless wireless connectivity. To bring in and make super-fast connectivity sustainable, a number of research issues such as traffic congestion, URLLC, secure and trustable platforms, interference management, integrating innovative technologies are some of key subjects that need to be touched. In this particular workshop, our focus would be using some core key technologies (Quantum Internet, Blockchain, Machine Learning, Artificial Intelligence etc.) to minimize traffic congestion in the 6G networks as it is predicted that 10, 000 times traffic will Increase in the next decade. We aim to bring together academic researchers, industrial practitioners, and individuals working on this emerging exciting research areas to share their innovative ideas, latest findings, identify and discuss potential use cases, open research problems, technical challenges, and solution methods in this context.
Topics include (but not limited to):
- Network management using Network Slicing, SDN and NFV
- Zero Touch Networks with 6G, AI and Blockchain
- Advanced Machine learning, Deep learning, and AI solutions to improve network traffic
- Congestion control techniques in improving user experience in Internet of Things (IoT), Cloud, Edge Computing Networks
- Quality of Service (QoS) issues such as Dynamic Resource Allocation, Spectrum Allocation, Energy Efficiency
- Futuristic paradigms for advanced use cases; adopting blockchain, quantum communication
- Parameters like Interoperability, heterogeneity, and bandwidth in congested networks
- Visible Light Communication/Free Space Optics for Traffic Control
- Unmanned Aerial Vehicle (UAVs)/Internet of Drones with focus on Traffic Congestion
- Emerging cellular architectures for Traffic Congestion
- Massive MIMO/Cell free Massive MIMO for Traffic Congestion
- Internet Traffic Offloading Mechanisms using AI, Blockchain, Machine Learning
- Handling Traffic congestion in social network
Keynotes
TBA
