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Intelligent Path-Selection-Aided Decoding of Polar Codes.

Hongji Cui1, Kai Niu1, Shunfu Zhong1

  • 1Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China.

Entropy (Basel, Switzerland)
|February 25, 2023
PubMed
Summary
This summary is machine-generated.

Intelligent path selection (IPS) reduces latency in polar code decoding by using a neural network instead of sorting. This method offers comparable performance to existing techniques for successive cancellation list decoding.

Keywords:
neural networkpath selectionpolar codessortsuccessive cancellation list

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Area of Science:

  • Coding Theory
  • Digital Communications
  • Machine Learning

Background:

  • Successive Cancellation List (SCL) decoding enhances polar code error performance.
  • Traditional path selection in SCL decoders uses metric sorters, increasing latency with list size.
  • CRC-aided SCL (CA-SCL) further improves error correction capabilities.

Purpose of the Study:

  • To introduce Intelligent Path Selection (IPS) as a novel, low-latency alternative to metric sorters for SCL/CA-SCL decoding.
  • To develop a neural network-based IPS scheme that avoids complete path sorting.
  • To analyze the performance and latency trade-offs of IPS compared to conventional methods.

Main Methods:

  • Proposed an Intelligent Path Selection (IPS) scheme based on a neural network model.
  • Implemented IPS with a fully connected network, a thresholding unit, and a post-processing stage.
  • Analyzed the time complexity of the proposed hardware structure as O(klog2(L)).

Main Results:

  • IPS achieves performance comparable to existing methods in SCL/CA-SCL decoding.
  • IPS demonstrates significantly lower latency for medium and large list sizes.
  • The neural network approach effectively identifies the most reliable paths without full sorting.

Conclusions:

  • Intelligent Path Selection (IPS) offers an efficient alternative for path selection in polar code decoding.
  • IPS reduces decoding latency, particularly for larger list sizes, while maintaining performance.
  • The proposed neural network-based approach provides a scalable and effective solution for high-performance communication systems.