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Updated: Nov 7, 2025

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Soft Interference Cancellation for Random Coding in Massive Gaussian Multiple-Access.

Ralf R Müller1

  • 1Institute for Digital Communications, Friedrich-Alexander Universität Erlangen-Nürnberg, 91058 Erlangen, Germany.

Entropy (Basel, Switzerland)
|April 30, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces practical methods for massive Gaussian random access, achieving near-optimal power and bandwidth efficiency. New decoding techniques closely approach theoretical bounds in both low and high power regimes.

Keywords:
AWGNblock error probabilityfinite blocklengthiterative decodinglow-latency communicationsmultiple-accessnon-othogonal multiple-accessrandom codingspectral efficiencysuccessive cancellation

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Area of Science:

  • Information Theory
  • Wireless Communications
  • Coding Theory

Background:

  • Massive Gaussian random access exhibits distinct low and high power regimes governing power-bandwidth efficiency trade-offs.
  • Previous work established tight performance bounds for these regimes.

Purpose of the Study:

  • To develop practical methods for approaching theoretical performance bounds in massive Gaussian random access.
  • To investigate the effectiveness of iterative soft decoding and power-profile optimization.

Main Methods:

  • Utilized exact block error probability of Gaussian random codes in additive white Gaussian noise.
  • Applied iterative soft decoding techniques.
  • Employed power-profile optimization via linear programming for the high power regime.

Main Results:

  • Orthogonal random codes are effective in the low power regime.
  • Power-profile optimization shows promise in the high power regime, especially with fading.
  • The proposed methods closely approach or even outperform existing theoretical bounds.

Conclusions:

  • Practical iterative soft decoding methods can achieve near-optimal performance in massive Gaussian random access.
  • Power-profile optimization is a viable strategy for the high power regime, enhanced by fading.
  • This research bridges the gap between theoretical bounds and practical implementation in wireless systems.