The sixth-generation mobile communication network with endogenous intelligence: architectures,use cases and challenges

In order to meet the growing demand of new services and facilitate the application of communication technology in vertical industries, mobile communication networks will gradually evolve with more intelligence, finally resulting in endogenous intelligence in the 6G era. However, most of the current...

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Main Authors: Sun Yaohua, Wang Zeyu, Yuan Shuo, Peng Mugen
Format: Article
Language:zho
Published: National Computer System Engineering Research Institute of China 2021-03-01
Series:Dianzi Jishu Yingyong
Subjects:
6g
Online Access:http://www.chinaaet.com/article/3000129411
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spelling doaj-1e52459be191418f9fd24d31c7e6e15a2021-05-21T06:08:00ZzhoNational Computer System Engineering Research Institute of ChinaDianzi Jishu Yingyong0258-79982021-03-0147381310.16157/j.issn.0258-7998.2113923000129411The sixth-generation mobile communication network with endogenous intelligence: architectures,use cases and challengesSun Yaohua0Wang Zeyu1Yuan Shuo2Peng Mugen3State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunications, Beijing 100876,ChinaState Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunications, Beijing 100876,ChinaState Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunications, Beijing 100876,ChinaState Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunications, Beijing 100876,ChinaIn order to meet the growing demand of new services and facilitate the application of communication technology in vertical industries, mobile communication networks will gradually evolve with more intelligence, finally resulting in endogenous intelligence in the 6G era. However, most of the current research focuses on artificial intelligence(AI) based transmission and network optimization methods and rarely discusses how to support AI efficiently in the perspective of network architecture design. To fill this gap, this paper introduces the advances in wireless network architectures with endogenous intelligence proposed by both industry and academia and then discusses two use cases as well as related challenges.http://www.chinaaet.com/article/30001294116gwireless network architectureartificial intelligence
collection DOAJ
language zho
format Article
sources DOAJ
author Sun Yaohua
Wang Zeyu
Yuan Shuo
Peng Mugen
spellingShingle Sun Yaohua
Wang Zeyu
Yuan Shuo
Peng Mugen
The sixth-generation mobile communication network with endogenous intelligence: architectures,use cases and challenges
Dianzi Jishu Yingyong
6g
wireless network architecture
artificial intelligence
author_facet Sun Yaohua
Wang Zeyu
Yuan Shuo
Peng Mugen
author_sort Sun Yaohua
title The sixth-generation mobile communication network with endogenous intelligence: architectures,use cases and challenges
title_short The sixth-generation mobile communication network with endogenous intelligence: architectures,use cases and challenges
title_full The sixth-generation mobile communication network with endogenous intelligence: architectures,use cases and challenges
title_fullStr The sixth-generation mobile communication network with endogenous intelligence: architectures,use cases and challenges
title_full_unstemmed The sixth-generation mobile communication network with endogenous intelligence: architectures,use cases and challenges
title_sort sixth-generation mobile communication network with endogenous intelligence: architectures,use cases and challenges
publisher National Computer System Engineering Research Institute of China
series Dianzi Jishu Yingyong
issn 0258-7998
publishDate 2021-03-01
description In order to meet the growing demand of new services and facilitate the application of communication technology in vertical industries, mobile communication networks will gradually evolve with more intelligence, finally resulting in endogenous intelligence in the 6G era. However, most of the current research focuses on artificial intelligence(AI) based transmission and network optimization methods and rarely discusses how to support AI efficiently in the perspective of network architecture design. To fill this gap, this paper introduces the advances in wireless network architectures with endogenous intelligence proposed by both industry and academia and then discusses two use cases as well as related challenges.
topic 6g
wireless network architecture
artificial intelligence
url http://www.chinaaet.com/article/3000129411
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