Artificial Intelligence (AI) and Big Data Technologies for Designing 6G Networks to Enable Future Networked Societies

Dear Colleagues,

The number of things connected to the internet are growing exponentially thanks to the technologies such as the Internet of Things (IoT). This has given rise to the rise of big data that is usually characterised by four or more Vs, volume, velocity, variety, and veracity. Computing resources have increasingly become larger in capacities, smaller in size, and cheaper in terms of cost, and this has facilitated the development of powerful artificial intelligence methods for automation, inference, decision making, autonomification (e.g., autonomous vehicles), etc. While management of big data poses major challenges, it offers unparalleled opportunities for fine-grained, dynamic, and real-time management of digital and physical infrastructures, made possible through fine-grained sensors to monitor environments, collect and process data using machine and deep learning, make and implement decisions, all within the time constraints. The fifth-Generation networks and wireless systems (5G) are gradually enabling ultrahigh definition multimedia communications without delays. However, the focus of 5G networks is mainly on providing high-speed communication with low latencies. Future networked societies require more than that, it requires a network infrastructure that is user and application-centric. The 6th Generation wireless systems (6G) promise to provide such network infrastructure that will intrinsically allow application and platform development and deployment, and dynamic network reconfigurability across cloud, fog, and edge layers based on requirements from various entities. The 6G wireless systems would provide next-generation connectivity for networked society using technologies including heterogeneous networks, advanced and dynamic reconfigurability, network softwarization, higher spectrum, and more. We call in this Special Issue for submissions related to artificial intelligence and big data technologies for designing 6G networks to enable future networked societies. The submissions could be on any aspect of networks, wireless systems, and future Internet design including the design of networked applications and platforms, as well as their economics and business models. The submissions can be research papers, position papers, or literature reviews. Contributions are welcome from engineers, scientists, academics, and practitioners regardless of their academic and industrial disciplines. Authors are welcome to contact the editors to discuss their planned submissions. 

The topics include, but are not limited, to the following.

• Big Data and AI methods and technologies for 6G design;
• Big Data and AI technologies for dynamic configurability of 6G networks;
• Big Data and AI technologies for softwarization in 6G;
• Big Data and AI methods for higher speeds in 6G;
• Big Data and AI technologies for provisioning higher capacities in 6G;
• Big Data and AI methods for latency reduction in 6G;
• Big Data and AI methods and technologies for heterogeneity in 6G;
• Big Data and AI methods and technologies for higher reliability in 6G;
• Big Data and AI methods and technologies for higher efficiencies in 6G;
• Big Data and AI methods for green 6G (lower energy consumption, etc.);
• Edge, fog and cloud computing in 6G;
• Big Data and AI technologies for designing or deploying networked applications;
• Internet of Things (IoT) over 6G;
• Designing or deploying healthcare applications over 6G;
• Designing or deploying transportation applications over 6G;
• Designing or deploying smart city and society applications over 6G;
• Designing or deploying Industry 4.0 applications over 6G;
• Designing or deploying digital twins, metaverse or other applications over 6G;
• Evaluation and benchmark methods for the design of 6G networks;
• Evaluation and benchmark methods for supported applications and platforms over 6G;
• Big Data and AI technologies to reduce infrastructural and operational costs of 6G networks;
• Security and privacy of 6G networks and systems;
• Economics and business models for 6G design, deployment and operations. 

Prof. Dr. Rashid Mehmood
Dr. Mohsen Maadani
Prof. Dr. Eduardo Cerqueira
Prof. Dr. Gyu Myoung Lee
Guest Editors

Manuscript Submission Information

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