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6G WHITE PAPER ON EDGE INTELLIGENCE
|
6G
W
HITE
P
APER ON
E
DGE
I
NTELLIGENCE
A
BSTRACT
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
.
A
UTHORS
Ella Peltonen, University of Oulu, Finland,
ella.peltonen@oulu.fi
Mehdi Bennis, University of Oulu, Finland,
mehdi.bennis@oulu.fi
Michele Capobianco, Capobianco, Italy,
michele@capobianco.net
Merouane Debbah, Huawei, France,
merouane.debbah@huawei.com
Aaron Ding, TU Delft, Netherlands,
aaron.ding@tudelft.nl
Felipe Gil-Castiñeira, University of Vigo, Spain,
xil@gti.uvigo.es
