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IC-AMCNet: An Improved CNN-Based Automatic Modulation Classification for 5G Communications
By : Ade Pitra Hermawan
Date : 2019-08-14
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In this paper, we propose an improved CNN-based automatic modulation classification network (IC-AMCNet), an algorithm to classify the modulation type of a wireless signal. Because adaptive coding and modulation are widely used in wireless communication, the classifier must have a high accuracy and a short computing time. Compared with the existing CNN architectures, we adjusted the number of layers and added a new type of layer to comply with the latency standards in fifth generation (5G) communications. According to the simulation results, the proposed scheme significantly outperforms the existing schemes in terms of both accuracy rate and computing time.
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