6G White Paper on Edge Intelligence
It addresses the need for intelligent solutions in future 6G networks for various real-world applications, but is incremental as it builds on existing concepts like edge computing and IoT.
This white paper outlines a vision for 6G Edge Intelligence, focusing on integrating machine learning and AI into edge computing to enable applications like efficient manufacturing and autonomous traffic, and proposes a roadmap for transitioning from IoT to an Intelligent Internet of Intelligent Things.
In this white paper we provide a vision for 6G Edge Intelligence. Moving towards 5G and beyond the future 6G networks, intelligent solutions utilizing data-driven machine learning and artificial intelligence become crucial for several 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 in 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 the key enablers and challenges and identify the key 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 development of 6G Intelligent Edge.