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딥러닝 기반의 수중 IoT 네트워크 BER 예측 모델
Author
변정훈, 박진훈, 조오현
Journal Title
융합정보논문지
Publication Year
2020
Topics
Summary
This study identifies a low correlation between SNR and BER in underwater IoT networks and proposes a deep learning-based BER prediction model (MLP) utilizing multiple parameters. The proposed model demonstrates excellent performance with high accuracy (85.2%) in BER prediction and a 4.4-fold increase in network throughput compared to conventional methods.
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