PREDICTING 5G USER PLANE USING CONTROL PLANE FEATURES AND GRANGER CAUSALITY FOR FEATURE SELECTION

    公开(公告)号:US20250142359A1

    公开(公告)日:2025-05-01

    申请号:US18494189

    申请日:2023-10-25

    Abstract: A system for predicting a user plane using control plane features and Granger causality includes a host device a cloud computing server and controllers. The controllers execute control logic including a prediction application (PA) that obtains sensor data from the sensors, sends control and user plane data to infrastructure, and to the cloud computing servers, and accesses prior knowledge data stored within memory of the cloud computing servers. Additional control logic performs a Granger causality test on the user and control plane data, and utilizes a prediction model to generate a prediction from fused user and control plane data. A prediction verifier is applied to the prediction from the prediction model, and the PA enables the host device to make reliable predictions that allow the host device to adapt to dynamic wireless communications network conditions even when a best possible model is not fully trained.

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