{"id":1011096,"date":"2024-03-01T09:05:14","date_gmt":"2024-03-01T17:05:14","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-video&p=1011096"},"modified":"2024-03-04T04:12:23","modified_gmt":"2024-03-04T12:12:23","slug":"project-janus-l1-processing-with-mavenir-ran-mwc-2024","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/project-janus-l1-processing-with-mavenir-ran-mwc-2024\/","title":{"rendered":"Project Janus: L1 processing with Mavenir RAN (MWC 2024)"},"content":{"rendered":"
This video encapsulates the collaboration between Mavenir and Microsoft in enhancing Open RAN networks through advanced programmability. Leveraging Microsoft’s Programmable RAN platform and the Janus dynamic service model framework, the partnership has successfully integrated real-time, user-space eBPF codelets for customizable debugging, interference detection, and energy savings. Mavenir has incorporated the Janus technology into its RAN products, enabling sophisticated data extraction tools that allow for AI\/ML-based analysis and network optimization without hindering performance. The demonstration highlights the flexibility of the Programmable RAN platform, revealing its capacity to address on-site data acquisition and debugging challenges swiftly. By showcasing these innovations, the video emphasizes the transformative impact of open interfaces in Open RAN, facilitating a future of network efficiency and fostering an ecosystem ripe for new use cases and third-party functionalities.<\/p>\n