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IEEE International Symposium on Circuits and Systems proceedings

Area-Efficient Parallel Decoder Architecture for High Rate QC-LDPC Codes

Zhiqiang Cui, Zhongfeng Wang

Published Sep 22, 2006• 15 citations
Publisher

Abstract

In this paper, an area efficient partially parallel decoder architecture suited for (modified) min-sum decoding algorithm for general high rate quasi-cyclic low-density parity-check (QC-LDPC) codes is proposed. To reduce the hardware complexity for parallel processing, an efficient data scheduling unit is presented. The optimized partially parallel decoder architecture can linearly increase the decoding throughput with small hardware overhead. Typically, over 30% of memory can be saved with the architecture presented in this paper. Consequently, the proposed approach facilitates the applications of LDPC codes in area/power sensitive high speed communication systems.

DOI
10.1109/iscas.2006.1693781

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In this paper, an area efficient partially parallel decoder architecture suited for (modified) min-sum decoding algorithm for general high rate quasi-cyclic low-density parity-check (QC-LDPC) codes is proposed. To reduce the hardware complexity for parallel processing, an efficient data scheduling unit is presented. The optimized partially parallel decoder architecture can linearly increase the decoding throughput with small hardware overhead. Typically, over 30% of memory can be saved with the architecture presented in this paper. Consequently, the proposed approach facilitates the applications of LDPC codes in area/power sensitive high speed communication systems.
In this paper, a memory efficient partially parallel decoder architecture suited for high rate quasi-cyclic low-density parity-check codes using (modified) min-sum decoding algorithm is proposed. In general, more than thirty percent of memory can be saved over conventional partially parallel decoder architectures. To reduce the computation delay of check-node processing unit, an efficient architecture based on variants of rank order filter is presented. The optimized partially parallel decoder architecture can linearly increase the decoding throughput with small hardware overhead. Consequently, the proposed approach facilitates the applications of LDPC codes in area/power sensitive high speed communication systems
Channel coding is an important building block in communication systems. Low-density parity-check codes is one kind of prominent error correcting codes being considered in next generation industry standards. This paper presents a memory efficient, very high speed decoder architecture suited for quasi-cyclic low-density parity-check codes using modified Min-Sum decoding algorithm. In general, about seventy percent of message memory can be saved over conventional decoder architectures, and the decoding speed can be largely accelerated because of the highly efficient VLSI architecture. Consequently, the proposed approach facilitates the applications of LDPC codes in area/latency sensitive communication systems.
In this paper, the authors propose an efficient highly-parallel decoder architecture using partially overlapped decoding scheme for quasi-cyclic (QC) low-density parity-check (LDPC) codes, which leads to reduction in hardware complexity and power consumption. Generally, due to the regularly structured parity-check matrix H of QC LDPC codes, the message updating computations in the check node unit (CNU) and the variable node unit (VNU) can be efficiently overlapped, which increases the decoding throughput by maximizing the hardware utilization efficiency (HUE). However, the partially overlapped decoding scheme cannot be used to design a highly-parallel decoding architecture for high-throughput applications. For (3, 5)-regular QC LDPC codes, our proposed method could reduce the hardware complexity by approximately 33% for the CNU and 20% for the VNU in the highly-parallel decoder architecture without any performance degradation. In addition, the power consumption can be minimized by reducing the total number of memory accesses for updated messages.
This paper studies low-complexity high-speed decoder architectures for quasi-cyclic low density parity check (QC-LDPC) codes. Algorithmic transformation and architectural level optimization are incorporated to reduce the critical path. Enhanced partially parallel decoding architectures are proposed to linearly increase the throughput of conventional partially parallel decoders through introducing a small percentage of extra hardware. Based on the proposed architectures, a (8176, 7154) Euclidian geometry-based QC-LDPC code decoder is implemented on Xilinx field programmable gate array (FPGA) Virtex-II 6000, where an efficient nonuniform quantization scheme is employed to reduce the size of memories storing soft messages. FPGA implementation results show that the proposed decoder can achieve a maximum (source data) decoding throughput of 172 Mb/s at 15 iterations
This paper presents an efficient general-purpose QC-LDPC decoder architecture by combining hardware with software.The proposed architecture can be applied to regular and irregular QC-LDPC codes of various rates,lengths and parity-check matrix structures,and supports min-sum approximation decoding algorithms and realizes different message passing scheduling strategies.Some complicated message update is implemented by a hardware accelerator,thus the decoding throughput is improved.According to the quasi-cyclic structure of the parity-check matrix,the messages are stored and processed by blocks in decoding.Parallel message processing can also be realized with a small increase in implementation complexity.
This paper presents a low complexity, very high speed decoder architecture for quasi-cyclic low density parity check (QC-LDPC) codes, specifically Euclidian geometry (EG) based QC-LDPC codes. Algorithmic transformation and architectural level optimizations are employed to increase the clock speed. Enhanced partially parallel decoding architectures are proposed to linearly increase the overall throughput with the introduction of a small percentage of extra hardware. Based on the proposed architecture, a FPGA implementation of a (8176, 7154) EG-LDPC decoder can achieve a worst-case throughput of 169 Mbit/s.