IEEE Consumer Communications & Networking Conference
9-12 January 2021 // Virtual Conference

Call for Papers


Call for papers

“Traffic Congestion in Beyond 5G/6G Networks"

in conjunction with IEEE CCNC-2021

9-13 - Jan, 2021

Las Vegas, USA



Workshop Papers Due: 06 November 2020
Workshop Papers Acceptance Notification: 23 November 2020
Final Camera-Ready Paper Due: 14 December 2020


Link for submission:



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



Workshop Organizers

+ Co-Chairs:


  1. Dr. Kapal Dev Munster Technological University, Ireland. (Email:

  2. Dr. Anish Jindal, School of Computer Science & Electronic Engineering, University of Essex, UK. (Email:

  3. Dr. Ali Kashif Bashir, Department of Computing and Mathematics, Manchester Metropolitan University, UK. (Email:

  4. Dr. Shahid Mumtaz, Instituto de Telecomunicações, Portugal. (Email:



Publicity Chairs
  1. Jun Wu, PhD, Professor/Vice Dean,Science and Technology, Shanghai Jiao Tong University, China.(

  2. Alireza Jolfaei, PhD Assistant Professor, Macquarie University, Sydney, Australia. (Email:

  3. Neeraj Kumar, PhD Full Professor, Thapar Institute of Engineering and Technology, India. (Email:

  4. Dr.Sahil Garg, École de Technologie Supérieure, Montreal, Canada. (