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Machine Learning (ML) In a 5G Standalone (SA) Self Organizing Network (SON)
arXiv - CS - Networking and Internet Architecture Pub Date : 2020-11-24 , DOI: arxiv-2011.12288
Srinivasan Sridharan

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.

中文翻译:

5G独立(SA)自组织网络(SON)中的机器学习(ML)

机器学习(ML)包含在自组织网络(SON)中,它们是增强操作,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 Standalone被服务提供商视为关键推动因素,因为它提高了边缘网络的吞吐量的效率。它还有助于推进新的蜂窝使用案例,例如支持频率组合的超可靠低延迟通信(URLLC)。
更新日期:2020-11-25
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