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Journal of Networks

A Highly Flexible LDPC Decoder using Hierarchical Quasi-Cyclic Matrix with Layered Permutation

Vikram Arkalgud Chandrasetty, Syed Mahfuzul Aziz

Published Mar 1, 2012• 12 citations
Publisher

Abstract

Abstract—Hardware implementation of partially-parallel Low-Density Parity-Check (LDPC) decoders using unstructured random matrices is very complex and requires huge hardware resources. To alleviate the complexity and minimize resource requirements, structured LDPC matrices are used. This paper presents a novel technique for constructing a multi-level Hierarchical Quasi-Cyclic (HQC) structured matrix for LDPC decoder. A unique multi-level structure of the proposed matrix provides flexibility in generating different code lengths and code rates for various applications such as WiMAX, WLAN and DVB-S2. In addition, different combinations of permuted sub-matrices are inserted in layers at different levels of matrix hierarchy to provide virtual randomness in the LDPC matrix. Simulation results show that the HQC matrices generated using the proposed technique have a marginal loss of less than 0.1 dB at a bit error rate (BER) performance 10-5 compared to unstructured random matrices. A hardware model of the proposed matrix structure has been developed and synthesized on Xilinx FPGA to verify the flexibility features, hardware requirements and to analyze the performance of the LDPC decoder. Index Terms—Digital communication, error correction codes, flexible structures, cyclic codes, logic design, field programmable gate array I.

DOI
10.4304/jnw.7.3.441-449

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•Jan 1, 2010•1 citation
Abstract—Hardware implementation of partially-parallel Low-Density Parity-Check (LDPC) decoders using unstructured random matrices is very complex and requires huge hardware resources. To alleviate the complexity and minimize resource requirements, structured LDPC matrices are used. This paper presents a novel technique for constructing a multi-level Hierarchical Quasi-Cyclic (HQC) structured matrix for LDPC decoder. A unique multi-level structure of the proposed matrix provides flexibility in generating different code lengths and code rates for various applications such as WiMAX, WLAN and DVB-S2. In addition, different combinations of permuted sub-matrices are inserted in layers at different levels of matrix hierarchy to provide virtual randomness in the LDPC matrix. Simulation results show that the HQC matrices generated using the proposed technique have a marginal loss of less than 0.1 dB at a bit error rate (BER) performance 10-5 compared to unstructured random matrices. A hardware model of the proposed matrix structure has been developed and synthesized on Xilinx FPGA to verify the flexibility features, hardware requirements and to analyze the performance of the LDPC decoder. Index Terms—Digital communication, error correction codes, flexible structures, cyclic codes, logic design, field programmable gate array I.
A novel technique for constructing a multi-level Hierarchical Quasi-Cyclic (HQC) matrix for Low-Density Parity-Check (LDPC) decoder is presented in this paper. A unique multi-level structure of the proposed matrix provides flexibility in generating different code lengths and code rates for various applications such as WiMax, WLAN and DVB-S2. In addition, different combinations of permuted random sub-matrices are embedded in layers, to provide virtual randomness in the LDPC matrix. Simulation results show that the HQC matrices generated by using the proposed technique has bit error rate (BER) performance very close to that of unstructured random matrices. A prototype model of partially-parallel decoder architecture has been designed by using the various matrix configurations available in the proposed technique. FPGA design results show that the proposed decoder is resource efficient and the power requirements are comparable to that of ASIC based decoders.
Implementation of partially-parallel (Low-Density Parity-Check) LDPC decoders using unstructured random matrices is very complex and requires huge hardware resources. To alleviate the complexity and minimize resource requirements, structured LDPC matrices are used. This paper presents a novel technique for constructing a multi-level Hierarchical Quasi-Cyclic (HQC) structured matrix for LDPC decoders. A unique multi-level structure of the proposed matrix provides flexibility in generating different code lengths and code rates for various applications such as WiMAX, WLAN and DVB-S2. In addition, different combinations of permuted sub-matrices are inserted in layers, to provide virtual randomness in the LDPC matrix. Simulations results show that the HQC matrices generated using the proposed technique have a marginal loss of less than 0.1 dB at a bit error rate (BER) performance of 10-5, compared to unstructured random matrices. The proposed matrix therefore provides BER performance close to random matrices while significantly reducing hardware resource requirements.
Cyclically-coupled quasi-cyclic low-density parity-check (CC-QC-LDPC) codes are a new class of QC-LDPC codes which can achieve excellent error performance and relatively low hardware requirement. In this paper, we modify the CC-QC-LDPC code construction by using random permutation matrices instead of circulant permutation matrices, forming the “random-permutation-matrix-based CC-LDPC (RP-CC-LDPC) code”. The objective is to achieve a better error performance under the same code length. We simulate the bit error rate using FPGA simulations. We also compare the BER results and decoder complexity of the above codes with those of regular and irregular QC-LDPC codes under the same code length and code rate.
There are many low-density parity-check (LDPC) decoder architectures in the literature most of which are based on structured codes. Besides been specific to a particular class of codes, suggested architectures are limited in scalability. The major challenge in decoder design and implementation is the consideration of several strongly interrelated factors. These factors affect decoder computation and communication complexity, and error-correcting performance. In this paper we present a low-complexity, flexible and scalable LDPC decoder architecture for quasi-cyclic codes that supports multiple code designs (size, weights, rates, regular and irregular). The architecture is a result of a combination of flexible code construction and computation overlapping techniques. The architecture is based on overlapping techniques that allow sequential processing of check and variable nodes. The overlapping techniques lead to a low-complexity decoder interconnect compared to the existing techniques as they allow serial processing of code sub-matrices as compared to parallel processing of all sub-matrices in the existing overlapping technique. Although the architecture is based on quasi-cyclic codes, it can also be applied to random or other structured codes making it the most flexible, scalable and high-throughput partly-parallel LDPC decoder architecture.
Low-density parity-check (LDPC) codes are one of the most effective error controlling methods, which now are widely used in multiple communication systems, for example, DVB-S2, 802.16e, etc. In these communication standards, the adopted LDPC codes are all quasi-cyclic low-density parity-check (QC-LDPC) codes. The parity-check matrices of QC-LDPC codes consist of arrays of circulants, in which each row is the cyclic shift of the row above it, and the first row is the cyclic shift of the last row. This character of QC-LDPC codes results in the linear encoding complexity and opens the door for the multi-mode LDPC decoders with enough flexibility of resource multiplexing. Based on the quasi-cyclic character of QC-LDPC codes, a design method for multi-mode QC-LDPC decoders is proposed in this paper. The node memory is skillfully organized and can be expediently addressed by a simple control unit to save memory consumption in hardware implementation. Then this design method is implemented and test on Field Programmable Gate Array (FPGA) platform. The test results show that the resource occupied by the multi-mode decoder is only a little more than that of maximal resource occupied by the single-mode decoder, and this multi-mode decoder can support at least 3 code rates with the throughput higher than 100 Mbps when the iteration number is fixed to 12 and the clock frequency is set to 200 MHZ.
In recent years, the amount of digital data which is stored and transmitted for private and public usage has increased considerably. To allow a save transmission and storage of data despite of error-prone transmission media, error correcting codes are used. A large variety of codes has been developed, and in the past decade low-density parity-check (LDPC) codes which have an excellent error correction performance became more and more popular. Today, low-density parity-check codes have been adopted for several standards, and efficient decoder hardware architectures are known for the chosen structured codes. However, the existing decoder designs lack flexibility as only few structured codes can be decoded with one decoder chip. In consequence, different codes require a redesign of the decoder, and few solutions exist for decoding of codes which are not quasi-cyclic or which are unstructured. In this thesis, three different approaches are presented for the implementation of fully programmable LDPC decoders which can decode arbitrary LDPC codes. As a design study, the first programmable decoder which uses a heuristic mapping algorithm is realized on a field-programmable gate array (FPGA), and error correction curves are measured to verify the correct functionality. The main contribution of this thesis lies in the development of the second and the third architecture and an appropriate mapping algorithm. The proposed fully programmable decoder architectures use one-phase message passing and layered decoding and can decode arbitrary LDPC codes using an optimum mapping and scheduling algorithm. The presented programmable architectures are in fact generalized decoder architectures from which the known decoder architectures for structured LDPC codes can be derived.