Transitioning into a 6G ecosystem from the current 5G landscape will be a great challenge and could bring on profound economic, scientific and social changes. Many technological challenges will need to be solved. In the course of finding those solutions, many gaps will be identified and will need to be addressed. The creation of new standards will be just as challenging. Currently, the 5G landscape is being created and laid down worldwide but still important issues remain.
To meet 6G challenges (e.g., supporting newer and more stringent KPIs, differentiated services, larger and more complex networks, more agile networks, and higher degrees of automation), advances in the 6G core network architecture and end-to-end (E2E) service enablement will have to be considered. For example, how is one going to manage the growing number and types of users, devices, network traffic, and coping with increasing network complexities? How should AI/ML be used in this environment? How to manage differentiated, and even customized, network services and ensure their end-to-end service quality? How will service-based architectures and technologies (e.g., network slicing), which started in 5G, evolve to meet the growing challenges in 6G? How can 6G systems become more resilient? How can opensource and open testbeds help advance 6G?
The goal of this workshop will be to discuss the challenges, impacts, and future directions as we move from 5G to 6G. These will include discussions on 6G core network architectures, E2E service enablement and quality assurance, cloud and edge computing for 6G, network automation, and the roles of AI in 6G core networks and E2E service enablement. In addition, we will discuss possible concerns on the transition from 5G to 6G.
This workshop will consist of morning and afternoon sessions with the morning sessions dedicated to research topics, use cases, goals and challenges whereas the afternoon sessions will consist of panel discussion on selected topics.