Abstract
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.
摘要
智能无线接入网(RANs)是一种很有前途的范例,能够更好地满足各种应用需求并支持各种服务场景。本文概述了智能RANs最新进展。首先,总结了标准组织和运营商的工作,介绍了学术界提出的几种智能RAN体系架构,例如意图驱动RAN和具有增强数据分析功能的网络。然后,总结了使能技术,包括人工智能驱动的网络切片、意图感知、智能运维、基于AI的云边协同组网和智能多维资源分配。此外,介绍了近期在开放试验平台方面取得的进展。最后,鉴于研究领域的广泛性,从标准开放数据集、AI使能的算力网络、边缘智能和软件定义的智能地面卫星网络等未来方向进行探讨。
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The authors would like to give special thanks to their colleague Xiqing LIU for his valuable suggestions on paper organization.
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Yaohua SUN outlined the paper. Zeyu WANG and Shuo YUAN collected the materials. Zeyu WANG drafted the paper. Zeyu WANG, Yaohua SUN, and Shuo YUAN revised and finalized the paper.
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Zeyu WANG, Yaohua SUN, and Shuo YUAN declare that they have no conflict of interest.
Project supported by the Beijing Natural Science Foundation, China (No. JQ18016), the National Natural Science Foundation of China (No. 62001053), and the Fundamental Research Funds for the Central Universities, China (No. 24820202020RC11)
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Wang, Z., Sun, Y. & Yuan, S. Intelligent radio access networks: architectures, key techniques, and experimental platforms. Front Inform Technol Electron Eng 23, 5–18 (2022). https://doi.org/10.1631/FITEE.2100305
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DOI: https://doi.org/10.1631/FITEE.2100305