面向6G可编程网络的基于云原生的智能RAN架构

Haitao Liu, Jiaying Zong, Qingtian Wang, Yang Liu, Feng Yang
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引用次数: 1

摘要

随着新技术的快速发展,对6G的研究有望利用新兴技术,如人工智能(AI)和云计算。人工智能原生和云原生的思想推动着可编程网络向更加智能和自动化的方向发展。对于无线接入网(RAN),基于云的人工智能技术的预期使用也引起了很多关注,以提高资源分配效率并降低网络维护成本。本文首先概述了网络云化和智能化的最新进展。然后,基于云原生的高灵活性和可重构性,提出了一种面向6G的智能RAN架构。最后,通过一个室内定位案例对所提出的基于开源平台框架的工作流程进行了验证,为今后提供可编程网络的发展提供了丰富的研究内容。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cloud Native Based Intelligent RAN Architecture Towards 6G Programmable Networking
With the rapid development of new technologies, research on 6G is expected to take advantages of emerging technologies, such as Artificial Intelligence (AI) and cloud computing. The thought of AI native and cloud native drives the evolution of programmable networks towards more intelligence and automation. For Radio Access Network (RAN), the anticipated use of cloud-based AI technologies has also attracted a lot of attention to improve the efficiency of resource allocation and reduce the cost of network maintenance. This article firstly summarizes the latest progress in network cloudification and intelligence. Then based on the high flexibility and reconfigurability of cloud native, we present an intelligent RAN architecture for 6G. Finally, an indoor positioning case is offered to demonstrate the workflow of the proposed open-source based platform framework, which enriches the researches for future development of providing programmable networks.
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