Due to the advancement in technologies, the next-generation wireless network
will be very diverse, complicated, and according to the changed demands of the
consumers. The current network operator methodologies and approaches are
traditional and cannot help the next generation networks to utilize their
resources most appropriately. The limited capability of the traditional tools
will not allow the network providers to fulfill the demands of the network's
subscribers in the future. Therefore, this paper will focus on machine
learning, automation, artificial intelligence, and big data analytics for
improving the capacity and effectiveness of next-generation wireless networks.
The paper will discuss the role of these new technologies in improving the
service and performance of the network providers in the future. The paper will
find out that machine learning, big data analytics, and artificial intelligence
will help in making the next-generation wireless network self-adaptive,
self-aware, prescriptive, and proactive. At the end of the paper, it will be
provided that future wireless network operators cannot work without shifting
their operational framework to AI and machine learning technologies.

本文将探讨机器学习、自动化、人工智能和大数据分析对于提高下一代无线网络的能力和效率的作用，发现这些新技术将有助于使下一代无线网络实现自适应、自我感知、预测和主动性，最终得出未来的无线网络运营商不能脱离人工智能和机器学习技术转变其操作框架的结论。