Millimeter-wave beam tracking method in microwave and millimeter wave heterogeneous network scenario

Abstract

The present invention relates to a millimeter-wave beam tracking method in a microwave and millimeter wave heterogeneous network scenario, including: establishing a millimeter-wave beam tracking problem in the microwave and millimeter wave heterogeneous network scenario; for the millimeter-wave beam tracking problem, constructing a deep neural network (DNN) fusion model that performs millimeter-wave beam tracking by using time sequence microwave channel information and user location information; pre-training the DNN fusion model by using training data; configuring a pre-trained beam tracking deep learning model in a base station controller of an actual access network, performing millimeter-wave beam tracking according to actually input microwave channel information and user location information, and selecting a millimeter-wave optimum beam; and collecting the input information to continuously train and update the DNN fusion model.

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