论文标题
5G独立（SA）自组织网络（儿子）中的机器学习（ML）
Machine Learning (ML) In a 5G Standalone (SA) Self Organizing Network (SON)
论文作者
论文摘要
机器学习（ML）包含在自组织网络（儿子）中，这些网络是增强操作，管理和维护（OAM）活动的关键驱动力。它包含在5G独立（SA）系统中，是将4G网络转换为基于移动应用程序的下一代技术的5G通信轨道之一。该研究的主要目的是概述5G独立核心网络中的机器学习（ML）。 5G独立的服务提供商将其视为关键的推动器，因为它提高了边缘网络的吞吐量的功效。它还有助于推进新的细胞用例，例如支持频率组合的超低低潜伏期通信（URLLC）。
Machine learning (ML) is included in Self-organizing Networks (SONs) that are key drivers for enhancing the Operations, Administration, and Maintenance (OAM) activities. It is included in the 5G Standalone (SA) system is one of the 5G communication tracks that transforms 4G networking to next-generation technology that is based on mobile applications. The research's main aim is to an overview of machine learning (ML) in 5G standalone core networks. 5G Standalone is considered a key enabler by the service providers as it improves the efficacy of the throughput that edges the network. It also assists in advancing new cellular use cases like ultra-reliable low latency communications (URLLC) that supports combinations of frequencies.
