下一代无线网络中的机器学习和人工智能
Machine Learning and Artificial Intelligence in Next-Generation Wireless Network
摘要：
由于技术的进步，下一代无线网络将是非常多样的，复杂的，并根据消费者的需求变化。当前网络运营商的方法和途径是传统的，并且不能帮助下一代网络最适当地利用它们的资源。传统工具的有限能力将不允许网络提供商满足未来网络用户的需求。因此，本文将重点关注机器学习、自动化、人工智能和大数据分析，以提高下一代无线网络的容量和效率。本文将讨论这些新技术在未来改善网络提供商的服务和性能方面的作用。本文将发现，机器学习、大数据分析和人工智能将有助于使下一代无线网络具有自适应、自我感知、规范和主动性。在文章的最后，它将提供未来的无线网络运营商不能工作，而不转移其运营框架，人工智能和机器学习技术。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
