Memory Efficient Mutual Information-Maximizing Quantized Min-Sum Decoding for Rate-Compatible LDPC Codes

In this letter, we propose a two-stage design method to construct memory efficient mutual information-maximizing quantized min-sum (MIM-QMS) decoder for rate-compatible low-density parity-check (LDPC) codes. We first develop modified density evolution unique set of lookup tables (LUTs) that can be used LDPC The constructed LUTs are optimized based on their discrepancy values and merge function reduce the requirement. Numerical results show proposed MIM-QMS requirement decoding by up 94.92 % compared benchmark LUT-based with generally faster convergence speed. addition, approach performance floating-pointing belief propagation within 0.15 dB.