IEEE Global Communications Conference
7–11 December 2021 // Madrid, Spain // Hybrid: In-Person and Virtual Conference
Connecting Cultures around the Globe

Call for Papers


Call for papers

IEEE Globecom 2021 Workshop on 

   Network Management for 6G Communication Systems (NetMan6G)

7-11 December 2021, Madrid, Spain




Workshop Papers Due: 15 July 2021
Workshop Papers Acceptance Notification: 15 September 2021
Final Camera-Ready Paper Due: 14 November 2021

Workshop date (Tentative): 08 December 2021

Link for submission: Will update soon



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):


  • 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