機器學習(ML)包含在自組織網絡(SON)中，是增強操作維護管理(OAM)的關鍵驅動因素。它包括在5G獨立組網(SA)系統中，是将4G網絡轉變為基于移動應用的下一代技術的5G通信軌道之一。這項研究的主要目的是概述5G獨立核心網絡中的機器學習(ML)。5G獨立組網被服務供應商視為關鍵推動因素，因為它提高了網絡邊緣的吞吐量。它還有助于推進新的蜂窩使用案例，如支援頻率組合的超可靠低延遲通信(URLLC)。
原文題目：Machine Learning (ML) In a 5G Standalone (SA) Self Organizing Network (SON)
原文：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.
原文作者：Srinivasan Sridharan
原文連結：https://arxiv.org/abs/2011.12288
5G 獨立自組織網絡中的機器學習（CS NI）.pdf