18478879. Enhanced AI/ML Based Mobility Optimization (QUALCOMM Incorporated)
Enhanced AI/ML Based Mobility Optimization
Organization Name
Inventor(s)
Geetha Priya Rajendran of Bangalore IN
Rajeev Kumar of San Diego CA US
Enhanced AI/ML Based Mobility Optimization
This abstract first appeared for US patent application 18478879 titled 'Enhanced AI/ML Based Mobility Optimization
Original Abstract Submitted
Certain aspects of the present disclosure provide techniques for techniques for machine learning (ML)-based user equipment (UE) mobility. A method generally includes transmitting a handover request associated with handing over a UE from a first cell associated with an apparatus to a second cell associated with a first target network node, the handover request comprising an identifier (ID) of the apparatus and predicted information associated with the UE, the predicted information generated by a ML model; and receiving an information update message comprising: feedback information comprising feedback on the predicted information, the feedback information associated with refining the ML model, and a first persistent ID assigned to the UE, wherein the first persistent ID remains invariant across different radio resource control (RRC) modes of the UE, wherein the different RRC modes comprise an idle mode, an inactive mode, and a connected mode.
