TCB6GN’21 2021 - 1ST INTERNATIONAL WORKSHOP ON TRAFFIC CONGESTION IN BEYOND 5G/6G NETWORKS

Scope:
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 5G beyond/6G networks intact. 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 5G Beyond/6G networks as it is predicted that 10,000 times traffic will Increase in the next decade.
Topics include (but not limited to):
Congestion Control using Network Slicing, SDN and NFV
Advanced Machine learning, Deep learning, and AI solutions to improve traffic congestion
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 etc.
Handling Traffic congestion in social networks
Parameters like Interoperability, heterogeneity, and bandwidth in congested networks
Unmanned Aerial Vehicle (UAVs)/Internet of Drones with focus on Traffic Congestion
Emerging cellular architectures for Traffic Congestion Machine learning for smart computing.
Massive MIMO/Cell free Massive MIMO for Traffic Congestion
Internet Traffic Offloading Mechanisms using AI, Blockchain, Machine Learning