论文标题
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
论文作者
论文摘要
由于技术的进步，下一代无线网络将非常多样化，复杂，并且根据消费者的需求变化。当前的网络运营商方法和方法是传统的，无法帮助下一代网络最适当地利用其资源。传统工具的有限能力将不允许网络提供商未来满足网络订户的需求。因此，本文将重点介绍机器学习，自动化，人工智能和大数据分析，以提高下一代无线网络的能力和有效性。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自适应，自我意识，规定和积极主动。在本文的结尾，将提供未来的无线网络运营商在不将其操作框架转移到AI和机器学习技术的情况下工作。
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.
