GJR2366500R1010 83SR09E ABB模拟量输入模块

　　通过在逻辑上将服务与基础设施技术分离，抽象技术使服务与技术相互独立，从而使这两个元素独立发展。此外，抽象使得基础设施提供者和服务提供者之间的责任和角色能够清晰分离。

　　我们提出的抽象将地理站点建模为由一组功能组成的存在点 (PoP)。网络中的各种 PoP 由代表传输连接的虚拟链路连接。在 5G 向 6G 演进过程中，部分 RAN 功能可以位于地理位置较远的站点（例如在云 RAN 场景中），而部分 CN 功能可以向接入站点迁移，直至天线站点。换句话说，每个站点都可以同时托管 RAN 和 CN 功能。传输网络由具有相关 QoS 参数的点对点虚拟链路抽象，包括与弹性和可用性相关的信息。

　　有效的 QoS 调整对于传输感知网络切片编排具有挑战性。与特定服务相关的流量将在部署区域内发生时空变化，这将影响 QoS 参数。因此，应使用适当的机制动态地为支持切片的传输隧道分配 QoS 参数。在大多数情况下，服务流量本质上是动态的，并且至少部分与影响流量负载的可预测情况或历史趋势相关，例如一天中的时间、工作日与周末等。

　　在分配给服务的 QoS 参数（例如，峰值信息率 (PIR) 和承诺信息率 (CIR)）事先不为人知的情况下，动态调整切片参数以支持当前需求尤其有用，并且可能被高估。这在支持垂直行业服务所需的带宽划分中起着重要作用，因为它可以根据实际流量需求动态地进行。

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　　By logically separating the service from the infrastructure technologies, the abstraction technique makes independent services from technologies, allowing these two elements to evolve independently. Additionally, the abstraction enables a clear separation of responsibility and roles between the infrastructure provider and the service provider.

　　Our proposed abstraction models a geographical site as a point of presence (PoP) that is composed of a set of functions. The various PoPs in the network are connected by virtual links that represent the transport connections. In the evolution of 5G toward 6G, some of the RAN functions can be located at geographically distant sites (in the cloud RAN scenario, for example), and some of the CN functions can migrate toward the access site up to the antenna sites. In other words, each site can host a mix of RAN and CN functions. The transport network is abstracted by point-to-point virtual links with associated QoS parameters, including information related to resilience and availability.

　　AI-based network dynamics for QoS tuning

　　Effective QoS tuning is challenging for transport-aware network slicing orchestration. The traffic associated with a specific service will change over the deployment area, both in space and time, which will affect the QoS parameters. Therefore, the assignment of QoS parameters to the transport tunnels supporting a slice should be done dynamically with appropriate mechanisms. In most cases, service traffic is by nature dynamic and at least partially related to predictable situations or historical trends that influence traffic load such as the time of day, weekday versus weekend and the like.

　　Dynamically tuning the parameters of slices to support current needs is especially useful in cases where the QoS parameters – peak information rate (PIR) and committed information rate (CIR) , for example – that are assigned to the services are not well known in advance and could potentially be overestimated. This plays an important role in the bandwidth partitioning that is needed to support services for industry verticals, by making it possible to do it dynamically according to actual traffic need.