探索AI在无线空口中的应用，推动通信与智能融合。
Position Paper: Rethinking AI/ML for Air Interface in Wireless Networks
- 分析3GPP标准中AI/ML的落地场景与架构需求
- 指出当前跨领域协作不足的关键瓶颈
- 为学术与产业界提供未来研究方向参考
人工智能/机器学习（AI/ML）研究主要集中在计算机视觉、自然语言处理和视频分析等领域。相比之下，将AI/ML应用于无线网络，尤其是空口层面的研究仍处于初级阶段。尽管已有初步探索，但要充分发挥其潜力，需深入理解通信与智能技术的交叉融合。本文综述了3GPP标准化进程中与AI/ML相关的讨论，重点涵盖关键应用场景、系统架构考量及技术要求。同时，梳理了当前开放的研究挑战与机遇，呼吁学术界与工业界共同参与，推动智能化无线系统的未来发展。
原文摘要 · Abstract (English)
AI/ML research has predominantly been driven by domains such as computer vision, natural language processing, and video analysis. In contrast, the application of AI/ML to wireless networks, particularly at the air interface, remains in its early stages. Although there are emerging efforts to explore this intersection, fully realizing the potential of AI/ML in wireless communications requires a deep interdisciplinary understanding of both fields. We provide an overview of AI/ML-related discussions in 3GPP standardization, highlighting key use cases, architectural considerations, and technical requirements. We outline open research challenges and opportunities where academic and industrial communities can contribute to shaping the future of AI-enabled wireless systems.
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