In this white paper, we provide a vision for 6G Edge Intelligence. Moving beyond 5G and towards the future 6G networks, intelligent solutions utilizing data-driven machine learning and artificial intelligence become crucial for uncountable real-world applications including but not limited to, more efficient manufacturing, novel personal smart device environments and experiences, urban computing and autonomous traffic settings. We present edge computing, along with other 6G enablers, as a key component to establish the future 2030 intelligent Internet technologies as shown in this series of 6G white papers.
In this white paper, we focus on the domains of edge computing infrastructure and platforms, data and edge network management, software development for edge, and real-time and distributed training of ML/AI algorithms, along with security, privacy, pricing, and end-user aspects. We discuss key enablers and challenges and identify essential research questions for the development of the Intelligent Edge services. As a main outcome of this white paper, we envision a transition from Internet of Things to Intelligent Internet of Intelligent Things and provide a roadmap for the development of 6G Intelligent Edge.