Recent years have seen rapid deployment of mobile computing and Internet of Things (IoT) networks, which can be mostly attributed to the increasing communication and sensing capabilities of wireless systems. Big data analysis, pervasive computing, and eventually artificial intelligence (AI) are envisaged to be deployed on top of the IoT and create a new world featured by data-driven AI. In this context, a novel paradigm of merging AI and wireless communications, called Wireless AI that pushes AI frontiers to the network edge, is widely regarded as a key enabler for future intelligent network evolution. To this end, we present a comprehensive survey of the latest studies in wireless AI from the data-driven perspective. Specifically, we first propose a novel Wireless AI architecture that covers five key data-driven AI themes in wireless networks, including Sensing AI, Network Device AI, Access AI, User Device AI and Data-provenance AI. Then, for each data-driven AI theme, we present an overview on the use of AI approaches to solve the emerging data-related problems and show how AI can empower wireless network functionalities. Particularly, compared to the other related survey papers, we provide an in-depth discussion on the Wireless AI applications in various data-driven domains wherein AI proves extremely useful for wireless network design and optimization. Finally, research challenges and future visions are also discussed to spur further research in this promising area.

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在未来的无线网络中启用AI：数据生命周期视角

近年来，移动计算和物联网（IoT）网络迅速部署，这主要归因于无线系统不断增强的通信和传感功能。设想将大数据分析，普适计算以及最终的人工智能（AI）部署在IoT之上，并创建一个以数据驱动的AI为特征的新世界。在这种情况下，一种将AI和无线通信融合在一起的新颖范例称为无线AI将AI前沿推向网络边缘的过程被广泛认为是未来智能网络发展的关键推动力。为此，我们从数据驱动的角度对无线AI的最新研究进行了全面的概述。具体来说，我们首先提出一种新颖的无线AI架构，涵盖无线网络中的五个关键的数据驱动AI主题，包括传感AI，网络设备AI，访问AI，用户设备AI和数据来源AI。然后，针对每个数据驱动的AI主题，我们概述了AI方法的使用来解决与数据相关的新兴问题，并展示了AI如何支持无线网络功能。特别是，与其他相关调查文件相比，我们对各种数据驱动域中的无线AI应用进行了深入的讨论，其中AI被证明对无线网络设计和优化非常有用。最后，还讨论了研究挑战和未来愿景，以推动这一有前途的领域的进一步研究。