论文标题

在5G高级的6G中拥抱AI:联合3GPP和O-RAN的视角

Embracing AI in 5G-Advanced Towards 6G: A Joint 3GPP and O-RAN Perspective

论文作者

Lin, Xingqin, Kundu, Lopamudra, Dick, Chris, Velayutham, Soma

论文摘要

人工智能(AI)已成为一种强大的技术,可改善系统性能并在5G及以后实现新功能。标准化(定义功能和界面)对于推动在5G高级和6G中大量采用AI所需的行业一致性至关重要。但是,在不同标准机构(例如第三代伙伴关系项目(3GPP)和开放无线电访问网络(O-RAN)联盟)中的努力分散的努力可能会导致对遵循哪些标准以及要接受哪些标准的混乱和不确定性。本文提供了有关移动通信系统中AI采用的最新技术的联合3GPP和O-RAN的观点,包括5G架构的基本面及其对开放性和智能的发展,用于5G加速进化的AI,以及对AI-able-able-able-able-able-able-able-apectuction conse conse conse。我们还确定了未来探索的几个领域,以加速AI在6G的道路上采用。

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 third 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 towards openness and intelligence, AI for 5G-Advanced evolution, and a case study on AI-enabled traffic steering. We also identify several areas for future exploration to accelerate AI adoption on the path towards 6G.

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