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On-line Access: 2022-01-24

Received: 2021-06-29

Revision Accepted: 2022-04-22

Crosschecked: 2021-10-19

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Yaohua SUN


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Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.1 P.5-18


Intelligent radio access networks: architectures, key techniques, and experimental platforms

Author(s):  Zeyu WANG, Yaohua SUN, Shuo YUAN

Affiliation(s):  State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China

Corresponding email(s):   sunyaohua@bupt.edu.cn

Key Words:  Intelligent network architecture, Artificial intelligence, Experimental platforms

Zeyu WANG, Yaohua SUN, Shuo YUAN. Intelligent radio access networks: architectures, key techniques, and experimental platforms[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(1): 5-18.

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%T Intelligent radio access networks: architectures, key techniques, and experimental platforms
%A Zeyu WANG
%A Yaohua SUN
%A Shuo YUAN
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%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2100305

T1 - Intelligent radio access networks: architectures, key techniques, and experimental platforms
A1 - Zeyu WANG
A1 - Yaohua SUN
A1 - Shuo YUAN
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 23
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SP - 5
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%@ 2095-9184
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.2100305

Intelligent radio access networks (RANs) have been seen as a promising paradigm aiming to better satisfy diverse application demands and support various service scenarios. In this paper, a comprehensive survey of recent advances in intelligent RANs is conducted. First, the efforts made by standard organizations and vendors are summarized, and several intelligent RAN architectures proposed by the academic community are presented, such as intent-driven RAN and network with enhanced data analytic. Then, several enabling techniques are introduced which include AI-driven network slicing, intent perception, intelligent operation and maintenance, AI-based cloud-edge collaborative networking, and intelligent multi-dimensional resource allocation. Furthermore, the recent progress achieved in developing experimental platforms is described. Finally, given the extensiveness of the research area, several promising future directions are outlined, in terms of standard open data sets, enabling AI with a computing power network, realization of edge intelligence, and software-defined intelligent satellite-terrestrial integrated network.




Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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