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Iterative Detection Based on Consensus Alternating Direction Method of Multipliers in Massive Machine-Type Communications

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Abstract

In massive machine-type communication systems, only some of devices usually transmit signals while the others remain silent. The conventional multiuser detection methods have been used with the aid of compressive sensing techniques, but their performance is far from the optimal one. In this paper, we propose an iterative signal detection method that jointly identifies the non-zero support and detects modulated symbols based on consensus alternating direction method of multipliers. Simulation results show that its performance is much better than the conventional detection methods and close to the lower-bound performance of the ideal detector in the case of high SNR.

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Acknowledgements

This work was supported by Inha University Research Grant.

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Authors and Affiliations

  1. Department of Information and Communication Engineering, Inha University, Incheon, Korea

    Minsik Kim & Daeyoung Park

  2. Hyundai Mobis, Gyeonggi, Korea

    Jeongwon Lee

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  1. Minsik Kim
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  2. Jeongwon Lee
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  3. Daeyoung Park
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Correspondence to Daeyoung Park.

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Kim, M., Lee, J. & Park, D. Iterative Detection Based on Consensus Alternating Direction Method of Multipliers in Massive Machine-Type Communications. Wireless Pers Commun 110, 2253–2264 (2020). https://doi.org/10.1007/s11277-020-07082-y

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  • DOI: https://doi.org/10.1007/s11277-020-07082-y

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