Signal Detection Network Based on Consensus ADMM in mMTC

초록

When only some devices transmit signals in massive machine-type communications, compressive sensing techniques can detect signals without scheduling. In this letter, we propose a detection network based on consensus-ADMM that is learnable from the transmitted signal and channel information. From simulation results, we confirm that the proposed learning model achieves better classification accuracy and signal detection performance. © 2022, Korean Institute of Communications and Information Sciences. All rights reserved.

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