A reduced complexity decoder architecture via layered decoding of LDPC codes

Abstract

We apply layered belief propagation decoding to our previously devised irregular partitioned permutation LDPC codes. These codes have a construction that easily accommodates a layered decoding and we show that the decoding performance is improved by a factor of two in the number of iterations required. We show how our previous flexible decoding architecture can be adapted to facilitate layered decoding. This results in a significant reduction in the number of memory bits and memory instances required, in the range of 45-50%. The faster decoding speed means the decoder logic can also be reduced by nearly 50% to achieve the same throughput and error performance. In total, the overall decoder architecture can be reduced by nearly 50%.