The design and optimization of wireless networks have mostly been based on strong mathematical and theoretical modeling. Nonetheless, as novel applications emerge in the era of 5G and beyond, unprecedented levels of complexity will be encountered in the design and optimization of the network. As a result, the use of Artificial Intelligence (AI) is envisioned for wireless network design and optimization due to the flexibility and adaptability it offers in solving extremely complex problems in real-time. One of the main future applications of AI is enabling user-level personalization for numerous use cases. AI will revolutionize the way we interact with computers in which computers will be able to sense commands and emotions from humans in a non-intrusive manner, making the entire process transparent to users. By leveraging this capability, and accelerated by the advances in computing technologies, wireless networks can be redesigned to enable the personalization of network services to the user level in real-time. While current wireless networks are being optimized to achieve a predefined set of quality requirements, the personalization technology advocated in this article is supported by an intelligent big data-driven layer designed to micro-manage the scarce network resources. This layer provides the intelligence required to decide the necessary service quality that achieves the target satisfaction level for each user. Due to its dynamic and flexible design, personalized networks are expected to achieve unprecedented improvements in optimizing two contradicting objectives in wireless networks: saving resources and improving user satisfaction levels.

翻译：无线网络的设计与优化历来主要依赖于强大的数学与理论建模。然而，随着5G及未来时代新型应用的出现，网络设计与优化将面临前所未有的复杂性。因此，人工智能因其在实时解决极其复杂问题时所展现的灵活性与适应性，被设想应用于无线网络的设计与优化中。人工智能未来主要的应用之一是在众多用例中实现用户级个性化。人工智能将彻底改变我们与计算机的交互方式——计算机能够以非侵入方式感知人类的指令与情绪，且整个过程对用户透明。借助这一能力，并在计算技术进步的推动下，无线网络可被重新设计以实现网络服务在用户层面的实时个性化。尽管当前无线网络致力于实现一组预定义的服务质量需求，本文倡导的个性化技术则由一个智能大数据驱动层支撑，该层用于对稀缺网络资源进行精细化管理。此层提供了所需智能，以判定能为每位用户达成目标满意度所需的服务质量。因其动态灵活的设计，个性化网络有望在优化无线网络中两个相互矛盾的目标——节约资源与提升用户满意度——方面实现前所未有的突破。