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...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | zho |
Published: |
National Computer System Engineering Research Institute of China
2021-03-01
|
Series: | Dianzi Jishu Yingyong |
Subjects: | |
Online Access: | http://www.chinaaet.com/article/3000129411 |
id |
doaj-1e52459be191418f9fd24d31c7e6e15a |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT sunyaohua thesixthgenerationmobilecommunicationnetworkwithendogenousintelligencearchitecturesusecasesandchallenges AT wangzeyu thesixthgenerationmobilecommunicationnetworkwithendogenousintelligencearchitecturesusecasesandchallenges AT yuanshuo thesixthgenerationmobilecommunicationnetworkwithendogenousintelligencearchitecturesusecasesandchallenges AT pengmugen thesixthgenerationmobilecommunicationnetworkwithendogenousintelligencearchitecturesusecasesandchallenges AT sunyaohua sixthgenerationmobilecommunicationnetworkwithendogenousintelligencearchitecturesusecasesandchallenges AT wangzeyu sixthgenerationmobilecommunicationnetworkwithendogenousintelligencearchitecturesusecasesandchallenges AT yuanshuo sixthgenerationmobilecommunicationnetworkwithendogenousintelligencearchitecturesusecasesandchallenges AT pengmugen sixthgenerationmobilecommunicationnetworkwithendogenousintelligencearchitecturesusecasesandchallenges |
_version_ |
1721432410292224000 |