BASE STATION APPARATUS CAPABLE OF IMPROVING POWER AMPLIFICATION EFFICIENCY THROUGH GENERATION OF POWER AMPLIFICATION RATIO CALCULATION MODEL BASED ON MACHINE LEARNING

摘要

Disclosed is a base station device capable of improving power amplification efficiency through generation of a machine learning-based power amplification ratio calculation model. The present invention generates a calculation model capable of calculating an optimal power amplification ratio based on predetermined reception quality values that can be collected from a user terminal based on machine learning, and power for signal transmission based on the generated calculation model By providing a base station apparatus capable of determining the amplification ratio, it is possible to improve the power amplification efficiency of the base station.