标题： AI-RAN：通过人工智能驱动的计算基础设施转变RAN 显示英文标题

标题： AI-RAN: Transforming RAN with AI-driven Computing Infrastructure

摘要： 无线接入网络（RAN）的格局正在从传统的以通信为中心的基础设施向融合计算-通信平台发生变革。 本文介绍了AI-RAN，它将RAN和人工智能（AI）工作负载整合在同一基础设施上。 通过这样做，AI-RAN不仅满足了未来网络的性能需求，还提高了资产利用率。 我们首先考察RAN如何从移动宽带演进到AI-RAN，并将AI-RAN的表现形式分为三种：AI-for-RAN、AI-on-RAN和AI-and-RAN。 接下来，我们确定了AI-RAN中通信与计算融合的关键需求和推动因素。 然后，我们提供了一个参考架构，以推动AI-RAN从概念到实践。 为了说明AI-RAN的实际潜力，我们展示了一个概念验证，该验证同时处理RAN和AI工作负载，使用NVIDIA Grace-Hopper GH200服务器。 最后，我们通过概述未来的工作方向来总结本文，以指导AI-RAN的进一步发展。 显示英文摘要

摘要： The radio access network (RAN) landscape is undergoing a transformative shift from traditional, communication-centric infrastructures towards converged compute-communication platforms. This article introduces AI-RAN which integrates both RAN and artificial intelligence (AI) workloads on the same infrastructure. By doing so, AI-RAN not only meets the performance demands of future networks but also improves asset utilization. We begin by examining how RANs have evolved beyond mobile broadband towards AI-RAN and articulating manifestations of AI-RAN into three forms: AI-for-RAN, AI-on-RAN, and AI-and-RAN. Next, we identify the key requirements and enablers for the convergence of communication and computing in AI-RAN. We then provide a reference architecture for advancing AI-RAN from concept to practice. To illustrate the practical potential of AI-RAN, we present a proof-of-concept that concurrently processes RAN and AI workloads utilizing NVIDIA Grace-Hopper GH200 servers. Finally, we conclude the article by outlining future work directions to guide further developments of AI-RAN.