In this white paper, we provide a vision for 6G edge intelligence. Moving toward 5G and beyond future 6G networks, intelligent solutions utilizing data-driven machine learning and artificial intelligence will 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 sent edge computing with other 6G enablers as a key component to establish the future 2030 intelligent Internet technologies 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, as well as security, privacy, pricing, and end-user aspects. We discuss the key enablers and challenges, and identify the key research questions for the development of intelligent edge services. As the main outcome of this white paper, we envision a transition from the Internet of Things to the Intelligent Internet of Intelligent Things and provide a roadmap for the development of the 6G intelligent edge.
Peltonen Ella, Bennis Mehdi, Capobianco Michele, Debbah Merouane, Ding Aaron, Gil-Castiñeira Felipe, Jurmu Marko, Karvonen Teemu, Kelanti Markus, Kliks Adrian, Leppänen Teemu, Lovén Lauri, Mikkonen Tommi, Rao Ashwin, Samarakoon Sumudu, Seppänen Kari, Sroka Paweł, Tarkoma Sasu & Yang Tingting
6G research visions
Place of publication:
Oulu : University of Oulu
June 30, 2020
Peltonen, E., Bennis, M., Capobianco, M., Debbah, M., Ding, A., Gil-Castiñeira, F., Jurmu, M., Karvonen, T., Kelanti, M., Kliks, A., Leppänen, T., Lovén, L., Mikkonen, T., Rao, A., Samarakoon, S., Seppänen, K., Sroka, P., Tarkoma, S., & Yang, T. (2020). 6G White Paper on Edge Intelligence [White paper]. (6G Research Visions, No. 8). University of Oulu. http://urn.fi/urn:isbn:9789526226774
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