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

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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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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Keywords

  • Massive machine-type communication
  • Consensus alternating direction method of multipliers
  • ADMM
  • Multiuser detection
  • Compressive sensing