AI/ML for vRAN Network Slicing
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.
Shu-ping Yeh (firstname.lastname@example.org) is a Senior Research Scientist in the Wireless System Research Lab at Intel, where she conducts research on wireless broadband technologies. Her current research focus includes open RAN architecture, AI/ML for RAN control and management, network slicing and interworking of multiple radio access technologies within a network. Dr. Yeh has over 10 years of research and development experience in wireless industry and holds more than 30 US patents. She received her M.S. and Ph.D. in Electrical Engineering from Stanford University in 2005 and 2010, respectively.
Senior Research Scientist, Wireless System Research Lab, Intel