Selection of CDMA and OFDM Using DNN in Underwater Acoustic Channels

초록

This paper proposes a selection method to choose a better modulation scheme in a given underwater acoustic communication channel. In this paper, parameters affecting the BER of CDMA and OFDM were calculated from underwater acoustic channels. Deep Neural Network (DNN) with the parameters was utilized to select the better modulation method given an underwater acoustic channel environment. Computer simulations demonstrate the proposed method selects the better modulation scheme by 98.98%.

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