Network Management in Beyond 5G/6G Networks

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 explored. 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.

The proposed workshop is second in its series, and we expect a number of quality submissions due to the need of quality research in this direction. Topics will include diverse set of areas related to 5G/6G 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

· Massive MIMO/Cell free Massive MIMO for Traffic Congestion

· Internet Traffic Offloading Mechanisms using AI, Blockchain, Machine Learning

· Zero Touch Network for beyond 5G/6G Network

· Autonomous Networks for Beyond 5G/6G Networks

Submission Guidelines:

Submitted papers should present original, unpublished work, relevant to one of the topics of the Special Issue. All submitted papers will be evaluated on the basis of relevance, significance of contribution, technical quality, and quality of presentation. Manuscripts need to prepared according to Guide for Authors at according to the Guide for Authors as published in the Computer Communication Journal at https://www.elsevier.com/journals/computer-communications/0140-3664/guide-for-authors. We invite the prospective authors to submit their manuscript, via the online submission system in the main journal page and select “NetMang2021” as the Article Type. Please make sure you mention in your cover letter that you are submitting to this special issue.

Important Dates:

· Paper submission: 20 June 2021

· Completion first review round: 20 August 2021

· Deadline revised manuscripts: 20 October 2021

· Completion of the review and revision process: 20 January 2022

Guest Editors:

1. Dr. Kapal Dev (Managing Guest Editor)

Connect Center, Trinity College Dublin, Ireland

Email: Kapal.dev@ieee.org

2. Dr. Anish Jindal

School of Computer Science & Electronic Engineering, University of Essex, UK

Email: a.jindal@essex.ac.uk

3. Dr. Ali Kashif Bashir

Department of Computing and Mathematics, Manchester Metropolitan University, UK

Email: dr.alikashif.b@ieee.org

4. Dr. Shahid Mumtaz

Instituto de Telecomunicações, Portugal.

Email: Dr.shahid.mumtaz@ieee.org