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MIMO-OFDM Adaptive transmission scheme determination apparatus based on MIMO-OFDM System using machine learning model and adaptive transmission method the same
MIMO-OFDM Adaptive transmission scheme determination apparatus based on MIMO-OFDM System using machine learning model and adaptive transmission method the same
The present invention relates to an apparatus for determining an adaptive transmission scheme using a machine learning model based on a MIMO-OFDM system, and an adaptive transmission method using the same. According to the present invention, the adaptive transmission method using a machine learning model based on a MIMO-OFDM system comprises the steps of: learning a machine learning model by using a plurality of learning data using feature information extracted from a channel state of a signal received in a receiving terminal having N antennas, as an input, and a label defining optimal transmission scheme information applied to each antenna of a transmitting terminal having N antennas corresponding to the channel state, as an output; estimating a channel state from a received signal of the receiving terminal, received in response to a transmission signal of the transmitting terminal, extracting the feature information from the channel state, and inputting the same to the learned machine learning model; and determining the optimal transmission scheme information applied to each antenna of the transmitting terminal on the basis of the label output from the machine learning model in response to the input feature information, and feeding back the same to the transmitting terminal. According to the present invention, different transmission schemes can be selected as an optimal transmission scheme in accordance with a channel state even in the same SNR, and a transmission rate of a system can be improved.
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