6G White Paper on Edge Intelligence

Ella Peltonen; Mehdi Bennis; Michele Capobianco; Merouane Debbah; Aaron Ding; Felipe Gil-Castiñeira; Marko Jurmu; Teemu Karvonen; Markus Kelanti; Adrian Kliks; Teemu Leppänen; Lauri Lovén; Tommi Mikkonen; Ashwin Rao; Sumudu Samarakoon; Kari Seppänen; Paweł Sroka; Sasu Tarkoma; Tingting Yang

6G White Paper on Edge Intelligence

Ella Peltonen (Corresponding author), Mehdi Bennis, Michele Capobianco, Merouane Debbah, Aaron Ding, Felipe Gil-Castiñeira, Marko Jurmu, Teemu Karvonen, Markus Kelanti, Adrian Kliks, Teemu Leppänen, Lauri Lovén, Tommi Mikkonen, Ashwin Rao, Sumudu Samarakoon, Kari Seppänen, Paweł Sroka, Sasu Tarkoma, Tingting Yang

Research output: Book/Report › Report

Abstract

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.

Original language	English
Place of Publication	Oulu
Publisher	University of Oulu
Number of pages	34
ISBN (Electronic)	978-952-62-2677-4
Publication status	Published - 30 Jun 2020
MoE publication type	D4 Published development or research report or study

Publication series

Series	6G Research Visions
Number	8
ISSN	2669-9621

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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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. University of Oulu. 6G Research Visions No. 8 https://www.6gchannel.com/portfolio-posts/6g-white-paper-edge-intelligence/

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title = "6G White Paper on Edge Intelligence",

abstract = "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.",

author = "Ella Peltonen and Mehdi Bennis and Michele Capobianco and Merouane Debbah and Aaron Ding and Felipe Gil-Casti{\~n}eira and Marko Jurmu and Teemu Karvonen and Markus Kelanti and Adrian Kliks and Teemu Lepp{\"a}nen and Lauri Lov{\'e}n and Tommi Mikkonen and Ashwin Rao and Sumudu Samarakoon and Kari Sepp{\"a}nen and Pawe{\l} Sroka and Sasu Tarkoma and Tingting Yang",

year = "2020",

month = jun,

day = "30",

language = "English",

series = "6G Research Visions",

publisher = "University of Oulu",

number = "8",

address = "Finland",

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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. 6G Research Visions, no. 8, University of Oulu, Oulu. <https://www.6gchannel.com/portfolio-posts/6g-white-paper-edge-intelligence/>

TY - BOOK

T1 - 6G White Paper on Edge Intelligence

AU - Peltonen, Ella

AU - Bennis, Mehdi

AU - Capobianco, Michele

AU - Debbah, Merouane

AU - Ding, Aaron

AU - Gil-Castiñeira, Felipe

AU - Jurmu, Marko

AU - Karvonen, Teemu

AU - Kelanti, Markus

AU - Kliks, Adrian

AU - Leppänen, Teemu

AU - Lovén, Lauri

AU - Mikkonen, Tommi

AU - Rao, Ashwin

AU - Samarakoon, Sumudu

AU - Seppänen, Kari

AU - Sroka, Paweł

AU - Tarkoma, Sasu

AU - Yang, Tingting

PY - 2020/6/30

Y1 - 2020/6/30

N2 - 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.

AB - 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.

M3 - Report

T3 - 6G Research Visions

BT - 6G White Paper on Edge Intelligence

PB - University of Oulu

CY - Oulu

ER -

6G White Paper on Edge Intelligence

Abstract

Publication series

UN SDGs

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