论文标题
在网络上降落AI：自动驾驶网络上的设备供应商的观点
Landing AI on Networks: An equipment vendor viewpoint on Autonomous Driving Networks
论文作者
论文摘要
人工智能（AI）在计算机视觉，自然语言处理，游戏和机器人技术中的巨大成就已将AI炒作的范围扩展到其他领域：在电信网络中，长期视觉是让AI完全管理和自动管理网络操作的各个方面。在本行业愿景论文中，我们讨论了由AI技术驱动的自主驾驶网络（ADN）的挑战和机遇。为了了解如何成功地降落在当前和未来的网络中，我们首先概述了针对网络领域的挑战，并以AI在其他领域取得的进步使它们具有透视。然后，我们提出一个系统视图，阐明如何在网络体系结构中安装AI。我们最终讨论了当前的成就以及网络中AI的未来承诺，提到了路线图，以避免在路上颠簸，从而导致网络中AI技术的真正大规模部署。
The tremendous achievements of Artificial Intelligence (AI) in computer vision, natural language processing, games and robotics, has extended the reach of the AI hype to other fields: in telecommunication networks, the long term vision is to let AI fully manage, and autonomously drive, all aspects of network operation. In this industry vision paper, we discuss challenges and opportunities of Autonomous Driving Network (ADN) driven by AI technologies. To understand how AI can be successfully landed in current and future networks, we start by outlining challenges that are specific to the networking domain, putting them in perspective with advances that AI has achieved in other fields. We then present a system view, clarifying how AI can be fitted in the network architecture. We finally discuss current achievements as well as future promises of AI in networks, mentioning a roadmap to avoid bumps in the road that leads to true large-scale deployment of AI technologies in networks.
