  New network architectures, such as the Internet of Things (IoT), 5G, and
next-generation (NextG) cellular systems, put forward emerging challenges to
the design of future wireless networks toward ultra-high data rate, massive
data processing, smart designs, low-cost deployment, reliability and security
in dynamic environments. As one of the most promising techniques today,
artificial intelligence (AI) is advocated to enable a data-driven paradigm for
wireless network design. In this paper, we are motivated to review existing AI
techniques and their applications for the full wireless network protocol stack
toward improving network performance and security. Our goal is to summarize the
current motivation, challenges, and methodology of using AI to enhance wireless
networking from the physical to the application layer, and shed light on
creating new AI-enabled algorithms, mechanisms, protocols, and system designs
for future data-driven wireless networking.
