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Implementation of Cyclic-Layered QC-LDPC decoder on FPGA

Jianfeng Fan

Published Jan 1, 2013• 0 citations
OpenAlex

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The layered scheme is famous for its efficiency and high throughput structure in decoding of LDPC codes, especially the quasi-cyclic LDPC codes, whose parity check matrices are made of cyclically-shifted identity matrices, which can be used as natural partitions of decoding layers. However, for many QC-LDPC codes, it leads to serious routing congestion if the cyclically shifted identity matrix size is taken directly as the layer partition and parallel factor in decoding. In this paper, a parity-check matrix reordering method is introduced, which can lower the decoding parallelism while keeping the layered decoding structure at the same time. The LDPC codes in DVB-S2/T2 standards are taken as an example to illustrate the proposed method, simulation and FPGA implementation shows that the method is effective in reducing the total decoder cost.
In this paper, a new and efficient decoding architecture, Single-Scan Layer Decoding (SLD), is realized in FPGA for multi-rate Quasi-Cyclic LDPC (QC-LDPC) codes. The SLD algorithm simplifies the nodes updating process and messages storing process of the offset min-sum algorithm, speeding up the decoding process and reducing nearly a half of resources consumption. Besides, the SLD algorithm, introducing the semi-parallel architecture into decoding architecture, can increase the convergence rate by 2X and decrease the interconnect complexity of hardware implementation. For multi-rate QC-LDPC Codes in 802.11.n, comparing with float-point software implementation, the degradations of the fixed-point SLD algorithm with 10 iterations in FPGA are all less than 0.ldB and the throughput of different code rates are all above 100Mbps.
This paper addresses the high-throughput requirements of information reconciliation in continuous-variable quantum key distribution (CV-QKD) systems by proposing an FPGA-based quasi-cyclic low-density parity-check (QC-LDPC) decoder implementation utilizing cross-layer scheduling. Through a preprocessing approach involving base matrix row reordering and data merging, the scheme effectively resolves memory access conflicts in layered decoding, enabling conflict-free parallel processing. Operating at 250 MHz, the decoder achieves a throughput of 100.5 Mbps, representing a 20% improvement over conventional approaches while maintaining equivalent frame error rate performance.