Predictive Closed-Loop Service Automation in O-RAN Based Network Slicing
Predictive Closed-Loop Service Automation in O-RAN Based Network Slicing
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DOI：
10.1109/mcomstd.0001.2200017
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发表时间：
2022-02
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通讯作者：
Joseph Thaliath;Solmaz Niknam;Sukhdeep Singh;Rahul Banerji;N. Saxena;Harpreet S. Dhillon;Jeffrey H. Reed;A. Bashir;Avinash Bhat;A. Roy
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作者：
Joseph Thaliath;Solmaz Niknam;Sukhdeep Singh;Rahul Banerji;N. Saxena;Harpreet S. Dhillon;Jeffrey H. Reed;A. Bashir;Avinash Bhat;A. Roy
网络切片为在同一基础设施下管理不同垂直行业的不同服务类型提供了定制化且灵活的网络部署。为了满足这些垂直行业的动态服务需求以及服务水平协议（SLA）中提及的所需服务质量（QoS），网络切片需要通过专用元件和资源进行隔离。此外，对分配给这些切片的资源需要进行持续监测和智能管理。这使得能够立即检测并纠正任何违反SLA的情况，以闭环方式支持自动化的服务保障。通过减少人工干预，智能的闭环资源管理降低了提供灵活服务的成本。在垂直行业之间共享的网络（可能由不同提供商管理）中的资源管理，将通过开放和标准化的接口得到进一步促进。开放无线接入网（O - RAN）或许是最有前途的无线接入网架构，它继承了上述所有特性，即智能性、开放和标准接口以及闭环控制。受此启发，在本文中，我们为O - RAN切片提供闭环且智能的资源配置方案以防止违反SLA。为了保持现实性，使用了一个大型运营商的真实数据集来训练一种学习解决方案，以便在提出的闭环服务自动化过程中优化资源利用。此外，还讨论了符合O - RAN要求的部署架构和相应流程。
Network slicing provides introduces customized and agile network deployment for managing different service types for various verticals under the same infrastructure. To cater to the dynamic service requirements of these verticals and meet the required quality-of-service (QoS) mentioned in the service-level agreement (SLA), network slices need to be isolated through dedicated elements and resources. Additionally, allocated resources to these slices need to be continuously monitored and intelligently managed. This enables immediate detection and correction of any SLA violation to support automated service assurance in a closed-loop fashion. By reducing human intervention, intelligent and closed-loop resource management reduces the cost of offering flexible services. Resource management in a network shared among verticals (potentially administered by different providers), would be further facilitated through open and standardized interfaces. Open radio access network (O-RAN) is perhaps the most promising RAN architecture that inherits all the aforementioned features, namely intelligence, open and standard interfaces, and closed control loop. Inspired by this, in this article we provide closed loop and intelligent resource provisioning scheme for O-RAN slicing to prevent SLA violations. In order to maintain realism, a real-world dataset of a large operator is used to train a learning solution for optimizing resource utilization in the proposed closed-loop service automation process. Moreover, the deployment architecture and the corresponding flow that are cognizant of the O-RAN requirements are also discussed.