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

Disclosed is a base station apparatus capable of increasing power amplification efficiency through generation of a machine learning-based power amplification ratio calculation model. The present invention provides the base station apparatus which generates a calculation model capable of calculating...

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Bibliographic Details
Main Authors SON CHUL HO, KIM YONG WOO
Format Patent
LanguageEnglish
Korean
Published 11.06.2021
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
PHYSICS
TRANSMISSION
WIRELESS COMMUNICATIONS NETWORKS
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Summary:Disclosed is a base station apparatus capable of increasing power amplification efficiency through generation of a machine learning-based power amplification ratio calculation model. The present invention provides the base station apparatus which 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 can determine a power amplification ratio for signal transmission based on the generated calculation model, thereby increasing power amplification efficiency of a base station. 기계학습 기반의 전력 증폭비 산출 모델의 생성을 통해 전력 증폭 효율의 개선이 가능한 기지국 장치가 개시된다. 본 발명은 사용자 단말로부터 수집 가능한 소정의 수신 품질 수치들을 기초로 최적의 전력 증폭비를 산출할 수 있는 산출 모델을 기계학습을 기반으로 생성하고, 상기 생성된 산출 모델을 기초로 신호 전송을 위한 전력 증폭비를 결정할 수 있는 기지국 장치를 제시함으로써, 기지국의 전력 증폭 효율의 향상을 도모할 수 있다.
Bibliography:Application Number: KR20190158940