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New Constructions of Polar Code Based on Refined Error Probability Analysis

📡 IEEE GLOBECOM 2025 — Official Implementation

This repository contains the official implementation accompanying the paper:

Hassan Noghrei, Wai Ho Mow, and Murad Abdullah New Construction of Polar Code Based on Refined Error Probability Analysis IEEE Global Communications Conference (GLOBECOM), 2025

This project provides:

  • A NumPy-based recursive Successive Cancellation (SC) decoder
  • A decoder-aware block error rate (BLER) formulation
  • A practical polar code construction algorithm optimized for SC decoding
  • Monte Carlo simulation tools for BER/FER evaluation

The implementation bridges theoretical error analysis and practical SC decoder behavior, enabling decoder-aware polar code design.


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For questions, suggestions, or collaboration inquiries, please open a GitHub issue.

For direct communication, please email: [email protected]

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A NumPy-based research toolkit for Polar Codes under Successive Cancellation (SC) decoding, featuring decoder-aware BLER analysis and SC-optimized code construction.

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