5G cellular networks are expected to be the key infrastructure to deliver the emerging services. These services bring new requirements and challenges that obstruct the desired goal of forthcoming networks. Mobile operators are rethinking their network design to provide more flexible, dynamic, cost-effective and intelligent solutions. This paper starts with describing the background of the 5G wireless networks then we give a deep insight into a set of 5G challenges and research opportunities for machine learning (ML) techniques to manage these challenges. The first part of the paper is devoted to overview the fifth-generation of cellular networks, explaining its requirements as well as its key technologies, their challenges and its forthcoming architecture. The second part is devoted to present a basic overview of ML techniques that are nowadays applied to cellular networks. The last part discusses the most important related works which propose ML solutions in order to overcome 5G challenges.

预计5G蜂窝网络将成为提供新兴服务的关键基础架构。这些服务带来了新的要求和挑战，阻碍了即将到来的网络的预期目标。移动运营商正在重新考虑其网络设计，以提供更灵活，动态，具有成本效益的智能解决方案。本文从描述5G无线网络的背景开始，然后我们深入了解了一系列5G挑战以及用于应对这些挑战的机器学习（ML）技术的研究机会。本文的第一部分专门概述了第五代蜂窝网络，解释了其需求以及关键技术，挑战和即将来临的体系结构。第二部分专门介绍了如今应用于蜂窝网络的ML技术的基本概述。最后一部分讨论了最重要的相关工作，这些工作提出了ML解决方案以克服5G挑战。