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A Threshold-Based Max-log-MPA Low Complexity Multiuser Detection Algorithm.

Guanghua Zhang1, Zonglin Gu1, Qiannan Zhao1

  • 1School of Electrical Engineering and Information, Northeast Petroleum University, Daqing 163318, China.

Sensors (Basel, Switzerland)
|February 20, 2020
PubMed
Summary
This summary is machine-generated.

A new Threshold-Based Max-log-MPA algorithm improves Sparse Code Multiple Access (SCMA) multiuser detection. This method reduces complexity and maintains a low Bit Error Ratio (BER) for better performance.

Keywords:
maximum likelihood logarithmmessage passing algorithmmultiuser detectionsparse code multiple accessthreshold

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Area of Science:

  • Wireless communication
  • Signal processing
  • Information theory

Background:

  • Sparse Code Multiple Access (SCMA) is a 2014 non-orthogonal spread spectrum technology.
  • Existing Message Passing Algorithms (MPA) for SCMA suffer from slow convergence and high complexity.
  • Threshold-based MPA and Max-log-MPA present issues with high Bit Error Ratio (BER) and poor detection performance, respectively.

Purpose of the Study:

  • To propose a low-complexity multiuser detection algorithm for SCMA.
  • To address the limitations of existing MPA algorithms in SCMA systems.
  • To enhance the efficiency and performance of SCMA detection.

Main Methods:

  • Introduced a Threshold-Based Max-log-MPA (T-Max-log-MPA) algorithm.
  • Combined Maximum Logarithm (Max-log) approximation with threshold setting.
  • Incorporated user node stability as a condition for decision-making before message updating.
  • Utilized logarithm domain MPA to convert complex operations into simpler ones (max and addition).

Main Results:

  • The proposed T-Max-log-MPA algorithm effectively reduces computational complexity.
  • The algorithm maintains a low Bit Error Ratio (BER), ensuring detection performance.
  • The Computational Complexity Reduction Ratio (CCRR) becomes more pronounced with increasing signal-to-noise ratio.

Conclusions:

  • The T-Max-log-MPA algorithm offers a viable solution for low-complexity SCMA multiuser detection.
  • The method balances computational efficiency with reliable error rate performance.
  • The proposed approach is particularly effective in high signal-to-noise ratio environments.