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DATA-CENTRIC SERVICE-BASED NETWORK ARCHITECTURE

机译:基于数据的基于服务的网络架构

摘要

A data-centric network and non-Real-Time (RT) RAN Intelligence Controller (RIC) architecture are described. The data-centric network architecture provides data plane functions (DPFs) that serve as a shared database for control functions, user functions and management functions for data plane resources in a network. The DPFs interact with control plane functions, user plane functions, management plane functions, compute plane functions, network exposure functions, and application functions of the NR network via a service interface. The non-RT RIC provides functions via rApps, manages the rApps, performs conflict mitigation and security functions, monitors machine learning (ML) performance, provides a ML model catalog that contains ML model information, provides interface terminations and stores ML data and Near-RT RIC related information in a database. An ML training host trains and evaluates ML models in the catalog, obtains training and testing data from the database, and retrains and updates the ML models.
机译:描述了一种以数据为中心的网络和非实时(RT)RAN智能控制器(RIC)架构。以数据为中心的网络架构提供数据平面函数(DPF),其用作用于控制功能的共享数据库,用于网络中的数据平面资源的控制功能,用户功能和管理功能。 DPFS通过服务接口与控制平面函数,用户平面功能,管理平面函数,计算平面函数,网络曝光功能和NR网络的应用功能。非RT RIC通过RAPP提供函数,管理RAPP,执行冲突缓解和安全功能,监控机器学习(ML)性能,提供包含ML型号信息的ML模型目录,提供接口终端并存储ML数据和近 - RT RIC相关信息在数据库中。 ML培训主机列车并评估目录中的ML模型,从数据库中获取培训和测试数据,并检索并更新ML模型。

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