Chase LDPC for CC-HARQ BER Analysis

Application Background

This MATLAB implementation calculates the Bit Error Rate (BER) for CC-HARQ systems to address error transmission issues in communication systems. CC-HARQ represents advanced communication technology widely adopted in standards like UMTS and LTE. It enhances system performance and reliability by combining Hybrid ARQ with Low-Density Parity-Check (LDPC) codes as forward error correction. The script implements BER calculation algorithms to evaluate system performance and optimize communication link design, featuring Monte Carlo simulations with configurable transmission parameters and channel models.

Key Technologies

The core technologies implemented include: adaptive modulation and coding schemes, channel encoding/decoding algorithms, Hybrid Automatic Repeat Request (HARQ), and Low-Density Parity-Check (LDPC) codes. The adaptive modulation and coding module dynamically adjusts modulation schemes and coding rates based on real-time channel conditions. The channel coding implementation employs efficient LDPC encoding using generator matrices and iterative decoding algorithms like belief propagation for error correction. HARQ mechanisms are simulated through retransmission protocols with incremental redundancy. LDPC codes are implemented with sparse parity-check matrices, providing low-complexity decoding while maintaining high error-correction performance suitable for modern communication systems.