Paper Submission: 30 June 2022
Notification: 30 July 2022
Camera Ready and Registration: 30 August 2022
Authors of accepted papers may choose to present in-person or virtually.
Accepted and presented papers will be published in the IEEE Future Networks World Forum 2022 Conference Proceedings and submitted to IEEE Xplore.
Download this workshop Call for Papers PDF
All papers should be submitted via EDAS: https://edas.info/newPaper.php?c=29311&track=112602
The demand for Data Transfer Rate is rising due to the increase of Data Traffic over time, which urges us to enhance the network systems capabilities from 4G to 5G. However, recently these demands have increased exponentially, and we need to develop a more robust physical network infrastructure to ensure enhanced Mobile Broadband (eMBB), Ultra-Reliable Low Latency Communications (URLLC), massive Machine Type Communications (mMTC), and security with dynamic, adaptive, and self-learning AI systems for upcoming Beyond 5G (B5G) and 6G.
B5G and 6G may bring enormous challenges because of several aspects, such as superior sensitivity, spectrum management, architectural design, network complexity, heterogeneity enhancement, trustworthiness, resource management, application possibilities, energy management, etc. Consequently, it is essential to develop a robust pathway exploiting currently available facilities, physical networks instrument, devices, Cross-layering aspects, and AI techniques to ensure a sustainable B5G/6G for the future. Therefore, we aim to organize a workshop on AI-enabled Future Networks: A Cross-layer Perspective, where the respected academician, researcher, entrepreneur, industrial practitioners, governmental agencies, and many others may share their innovations, individual thoughts, propositions, latest finding, technical challenges, open research scope, potential application scope, solutions as theories, algorithms, key technologies and so on.
TOPICS OF INTEREST
This workshop plans to focus on the following, but is not limited to:
- Cross-layer aspects on Future Networks
- AI-enabled Physical Network Management for Future Networks
- Cross-layer enabled Intelligent Traffic Enhancement for Future Networks
- Cross-layer enabled Intelligent Cellular Architectures for Future Networks
- AI-enabled Cloud and Edge Computing for Future Networks
- AI-enabled Private B5G/6G Cross-layer Network Architectures for IIoT
- Cross-layer Network for Smart Agriculture and Water Management
- Impact of Cross-layer on AI-enabled Quality of Service (QoS) for Future Networks
- Cross-layer issues on AI-enabled Dynamic Spectrum Access for Future Networks
- AI-enabled B5G/6G Testbeds and Applications
- Decentralized AI for sustainable Future Networks
- AI-empowered Dynamic Function Splitting in Green B5G/6G Physical Networks
- Digital Twin for 5G/6G networks
Mohammad N. Patwary, University of Wolverhampton, United Kingdom (Great Britain) Patwary@wlv.ac.uk
Md Arafatur Arafatur Rahman, University of Wolverhampton, United Kingdom (Great Britain) email@example.com
Mithun Mukherjee, Nanjing University of Information Science and Technology, China firstname.lastname@example.org