AI/ML for vRAN Network Slicing
Share With
5G Mobile network operators are keen to launch new revenue-generating Service Level Agreements (SLA) service offerings for both enterprises and consumers. This session will explore how developers can use Intel SDKs, AI/ML inferencing libraries, and inherent Intel Xeon features to create high-performant value added AI-based RAN applications without the need for a dedicated AI chip. As a demonstrated example, the session will also highlight a Network Slice Radio Resource Manager (NSRRM) xApp in an ORAN-compliant RAN Intelligent Controller (RIC) integrated with a Cloud Native, Open, virtualized RAN. Both the xApp and the L2 application in the RAN stack are powered by AI/ML leveraging Xeon features, Intel AI tools and SDK to support SLA adherence for multiple slices.
help Network Slice Radio Resource Manager (NSRRM) xApp in an ORAN compliant RAN Intelligent Controller (RIC) integrated with a Cloud Native, Open, virtualized RAN.