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.
翻译:近年来,移动计算和物联网(IoT)网络迅速部署,这主要归功于无线系统的通信和感测能力不断增强。大数据分析、普遍计算和最终人工智能(AI)预计将在IoT之上部署,并创建一个由数据驱动的AI所呈现的新世界。在这方面,将AI和无线通信(称为无线AI)相结合的新模式,将AI的前沿推向网络边缘,被广泛视为未来智能网络演变的关键推动者。为此,我们从数据驱动的角度对无线AI的最新研究进行一项全面调查。具体地说,我们首先提出一个新的无线AI结构,涵盖无线网络中的五个关键数据驱动的AI主题,包括AI、网络设备AI、Access AI、用户设备AI和数据促进AI。随后,我们为每个数据驱动的AI主题概述了使用AI方法解决正在出现的数据相关问题,并表明AI能够如何增强无线网络的功能。与其他相关调查文件相比,我们为无线网络的未来无线化研究领域提供了一次有益的讨论,最后,在无线化研究领域,我们为无线网络的无线化研究展示了无线模型,在无线域中,最终展示了无线网络设计。