Optimal Layered Scheduling for Hardware-Efficient Windowed Decoding of LDPC Convolutional Codes

We propose an optimal design method for layered scheduling in low-power windowed decoding of LDPC convolutional codes. Our optimal scheduling achieves up to a 70% complexity reduction and a 1 dB gain over conventional scheduling for limited decoding iterations.