Embracing Ai In 5g-advanced Toward 6g: A JOINT 3GPP AND O-RAN Perspective

Q1 Social Sciences
Xingqin Lin, Lopamudra Kundu, Chris Dick, Soma Velayutham
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引用次数: 0

Abstract

Artificial intelligence (AI) has emerged as a powerful technology that improves system performance and enables new features in 5G and beyond. Standardization - defining functionality and interfaces - is essential for driving the industry alignment required to deliver the mass adoption of AI in 5G-Advanced and 6G. However, fragmented efforts in different standards bodies, such as the 3rd Generation Partnership Project (3GPP) and the Open Radio Access Network (O-RAN) Alliance, can lead to confusion and uncertainty about which standards to follow and which aspects of the standards to embrace. This article provides a joint 3GPP and O-RAN perspective on the state of the art in AI adoption in mobile communication systems, including the fundamentals of 5G architecture and its evolution toward openness and intelligence, AI for 5G-Advanced evolution and open RAN, and a case study on AI-enabled traffic steering. We also identify several areas for future exploration to accelerate AI adoption on the path toward 6G.
在 5g-advanced 中拥抱 Ai,迈向 6g:3GPP 和 O-RAN 联合视角
人工智能(AI)已成为一项强大的技术,可提高系统性能,并在 5G 及以后的网络中实现新功能。标准化--定义功能和接口--对于推动 5G-Advanced 和 6G 大规模采用人工智能所需的行业协调至关重要。然而,第三代合作伙伴关系项目(3GPP)和开放无线接入网(O-RAN)联盟等不同标准机构各自为政,可能导致在遵循哪些标准和接受标准的哪些方面出现混乱和不确定性。本文从 3GPP 和 O-RAN 的角度共同探讨了人工智能在移动通信系统中的应用现状,包括 5G 架构的基本原理及其向开放性和智能化的演进、面向 5G-Advanced 演进和开放 RAN 的人工智能,以及人工智能流量引导的案例研究。我们还确定了未来需要探索的几个领域,以便在迈向 6G 的道路上加快人工智能的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
10.80
自引率
0.00%
发文量
55
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