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適用於IEEE 802.16e標準之中低密度同位檢查碼的快速收斂解碼方式與具有有效記憶體使用的超大型積體電路解碼器架構

鄭仲超

Published Jan 1, 2007• 0 citations
OpenAlex

Abstract

In this thesis, we propose a modified iterative decoding algorithm to decode a special class of quasi-cyclic low-density parity-check (QC-LDPC) codes such as QC-LDPC codes used in the IEEE 802.16e standards. The proposed decoding is implemented by serially decoding block codes with identical parity-check matrix Hl derived from the parity-check matrix H of the QC-LDPC codes. The dimensions of Hl are much smaller than those of H. Extrinsic values can be passed between these block codes since the code bits of these block codes are overlapped. Hence, the proposed decoding can reduce the number of iterations required by up to forty percent without error performance degradation as compared to the conventional message passing algorithm. A partially-parallel very large-scale integration (VLSI) architecture is proposed to implement such a decoding algorithm. The proposed VLSI decoder can fully take advantage of the proposed decoding to increase its throughput. In addition, the proposed decoder only needs to store check-to-variable messages and hence is memory efficient.

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Computer Engineering and Science•Jan 1, 2008•0 citations
In this thesis, we propose a modified iterative decoding algorithm to decode a special class of quasi-cyclic low-density parity-check (QC-LDPC) codes such as QC-LDPC codes used in the IEEE 802.16e standards. The proposed decoding is implemented by serially decoding block codes with identical parity-check matrix Hl derived from the parity-check matrix H of the QC-LDPC codes. The dimensions of Hl are much smaller than those of H. Extrinsic values can be passed between these block codes since the code bits of these block codes are overlapped. Hence, the proposed decoding can reduce the number of iterations required by up to forty percent without error performance degradation as compared to the conventional message passing algorithm. A partially-parallel very large-scale integration (VLSI) architecture is proposed to implement such a decoding algorithm. The proposed VLSI decoder can fully take advantage of the proposed decoding to increase its throughput. In addition, the proposed decoder only needs to store check-to-variable messages and hence is memory efficient.
In this paper, we propose a modified iterative decoding algorithm to decode a special class of quasi-cyclic low- density parity-check (QC-LDPC) codes such as QC-LDPC codes used in the IEEE 802.16e standards. The proposed decoding is implemented by serially decoding block codes with identical parity-check matrix H1derived from the parity-check matrix H of the QC-LDPC codes. The dimensions of H1are much smaller than those of H. Extrinsic values can be passed among these block codes since the code bits of these block codes are overlapped. Hence, the proposed decoding can reduce the number of iterations required by up to forty percent without error performance loss as compared to the conventional message- passing decoding algorithm. A partially-parallel very large-scale integration (VLSI) architecture is proposed to implement such a decoding algorithm. The proposed VLSI decoder can fully take advantage of the proposed decoding to increase its throughput. In addition, the proposed decoder only needs to store check-to- variable messages and hence is memory efficient.
In this paper, we modify a previously proposed decoding algorithm and propose a VLSI architecture to decode the quasi-cyclic low-density parity-check (QC-LDPC) code C used in the IEEE 802.16e standard. The modified decoding algorithm sequentially decodes a plurality of block codes for which its code length is much smaller than that of C. The proposed decoder can achieve a faster speed of convergence, lower decoding latency, higher throughput, and lower number of memory access as compared to the decoders using conventional turbo decoding message passing (TDMP) based on similar hardware complexity.
In this paper, a combined Low-Density Parity-Check (LDPC) code decoding design method, called modified Block-Type LDPC (B-LDPC), for realistic LDPC coding system architectures is presented. The B-LDPC code, which is a special class of quasi-cyclic LDPC (QC-LDPC), has an efficient encoding algorithm owing to the simple structure of their parity-check matrices. A proposed distribution of irregular parity-check matrix for the modified B-LDPC is developed so that we can obtain an area-efficient decoder design, good error correction performance, and achievable architecture implementation. The modified B-LDPC code decoding utilizes the iterative min-sum algorithm (MSA) and its decoding architecture design employs the non-overlapping operations of bit node unit (BNU) and check node unit (CNU). Different block matrix sizes for parity-check matrix can be adopted so that the modified B-LDPC code decoding improves the throughput without obvious performance degradation.
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.
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.
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.