How to Bring AI into 5G Radio Access Network
With the global deployment and commercialization of the 5G network, Wireless big data and ML/AI are widely recognized as the essential element to drive 5G network intelligence evolution in order to deliver the necessary efficiency, flexibility, and cost effectiveness. Significant progress and validation on the network operation and maintenance using ML/AI technologies have been made in 4G/5G networks. Various study on the network intelligence standardization from management to control planes, including use cases and requirements, AI functional framework, procedures and architecture have been actively explored. This talk will explore the journey of pursuing native RAN intelligence, from theory to preliminary practice validation. The AI/ML use cases in 5G network and some validations results will be shared followed by the standardization progress. Further, the challenges and gaps are shared based on the lessons learned from the practice so far.
Speakers, Panelists and Moderators
QI SUNSenior ResearcherChina MobileDr. Qi Sun is a Senior Researcher in China Mobile Research Institute, Co-chair of O-RAN WG2, Chairman of ITU-T Focus Group on Machine Learning for Future Networks including 5G (FG-ML5G) Data formats & ML technologies Group. She has been working on the key technology and standardization of 5G radio access network. Now her research interest focuses on wireless big data and AI for 5G and future RAN architecture, protocol and algorithm design. She has filed more than 50 patents, published more than 30 SCI/EI papers, and won the award of ESI top 1% highly cited paper.