Signal Detection Network Based on Consensus ADMM in mMTC 


Vol. 47,  No. 10, pp. 1531-1534, Oct.  2022
10.7840/kics.2022.47.10.1531


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  Abstract

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.

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[IEEE Style]

M. Kim, M. Kim, D. Park, "Signal Detection Network Based on Consensus ADMM in mMTC," The Journal of Korean Institute of Communications and Information Sciences, vol. 47, no. 10, pp. 1531-1534, 2022. DOI: 10.7840/kics.2022.47.10.1531.

[ACM Style]

Minwoo Kim, Minsik Kim, and Daeyoung Park. 2022. Signal Detection Network Based on Consensus ADMM in mMTC. The Journal of Korean Institute of Communications and Information Sciences, 47, 10, (2022), 1531-1534. DOI: 10.7840/kics.2022.47.10.1531.

[KICS Style]

Minwoo Kim, Minsik Kim, Daeyoung Park, "Signal Detection Network Based on Consensus ADMM in mMTC," The Journal of Korean Institute of Communications and Information Sciences, vol. 47, no. 10, pp. 1531-1534, 10. 2022. (https://doi.org/10.7840/kics.2022.47.10.1531)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880