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European Conference on Circuit Theory and Design

An early decision decoding algorithm for LDPC codes using dynamic thresholds

Anton Blad, Oscar Gustafsson, Lars Wanhammar

Published Oct 11, 2006• 16 citations
Publisher

Abstract

Low-density parity-check codes have recently received extensive attention as a forward error correction scheme in a wide area of applications. The decoding algorithm is inherently parallelizable, allowing communication at high speeds. One of the main disadvantages, however, is large memory requirements for interim storing of decoding data. In this paper, we investigate a modification to the decoding algorithm, using early decisions for bits with high reliabilities. This reduces the amount of messages passed by the algorithm, which can be expected to reduce the switching activity of a hardware implementation. While direct application of the modification results in severe performance penalties, we show how to adapt the algorithm to reduce the impact, resulting in a negligible decrease in error correction performance.

DOI
10.1109/ecctd.2005.1523116

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Low-density parity-check codes have recently received extensive attention as a forward error correction scheme in a wide area of applications. The decoding algorithm is inherently parallelizable, allowing communication at high speeds. One of the main disadvantages, however, is large memory requirements for interim storing of decoding data. In this paper, we investigate a modification to the decoding algorithm, using early decisions for bits with high reliabilities. This reduces the amount of messages passed by the algorithm, which can be expected to reduce the switching activity of a hardware implementation. While direct application of the modification results in severe performance penalties, we show how to adapt the algorithm to reduce the impact, resulting in a negligible decrease in error correction performance.
Abstract — Low-density parity-check codes have recently received extensive attention as a forward error correction scheme in a wide area of applications. The decoding algorithm is inherently parallelizable, allowing communication at high speeds. One of the main disadvantages, however, is large memory requirements for interim storing of decoding data. In this paper, we investigate a modification to the decoding algorithm, using early decisions for bits with high reliabilities. Currently, there are two early decision schemes proposed. We compare their theoretical performances and their suitability for hardware implementation. We also propose a new decision method, which we call weak decisions, that offers an increase in performance by a factor of two. 1
Low-density parity-check codes have recently received extensive attention as a forward error correction scheme in a wide area of applications. The decoding algorithm is inherently parallelizable, allowing communication at high speeds. One of the main disadvantages, however, is large memory requirements for interim storing of decoding data. In this paper, we investigate the performance of a hybrid decoding algorithm, using an approximating early decision algorithm and a regular probability propagation algorithm. When the early decision algorithm fails, the block is re-decoded using a probability propagation decoder. As almost all errors are detectable, the error correction performance of the hybrid algorithm is negligibly detonated. However, simulations still achieve a 32% decrease of memory accesses
Low-density parity-check codes have recently received much attention because of their excellent performance and the availability of a simple iterative decoder. The decoder, however, requires large amounts of memory, which causes problems with memory consumption. We investigate a new decoding scheme for low density parity check codes to address this problem. The basic idea is to define a reliability measure and a threshold, and stop updating the messages for a bit whenever its reliability is higher than the threshold. We also consider some modifications to this scheme, including a dynamic threshold more suitable for codes with cycles, and a scheme with soft thresholds which allow the possibility of removing a decision which have proved wrong. By exploiting the bits different rates of convergence we are able to achieve an efficiency of up to 50% at a bit error rate of less than 10^-5. The efficiency should roughly correspond to the power consumption of a hardware implementation of the algorithm.
Since their rediscovery in 1995, low-density parity-check (LDPC) codes have received wide-spread attention as practical capacity-approaching code candidates. It has been shown that the class of codes can perform arbitrarily close to the channel capacity, and LDPC codes are also used or suggested for a number of important current and future communication standards. However, the problem of implementing an energy-efficient decoder has not yet been solved. Whereas the decoding algorithm is computationally simple, withuncomplicated arithmetic operations and low accuracy requirements, the random structure and irregularity of a theoretically well-defined code does not easily allow efficient VLSI implementations. Thus the LDPC decoding algorithm can be said to be communication-bound rather than computation-bound. In this thesis, a modification to the sum-product decoding algorithm called early-decision decoding is suggested. The modification is based on the idea that the values of the bits in a block can be decided individually during decoding. As the sum-product decoding algorithm is a soft-decision decoder, a reliability can be defined for each bit. When the reliability of a bit is above a certain threshold, the bit can be removed from the rest of the decoding process, and thus the internal communication associated with the bit can be removed in subsequent iterations. However, with the early decision modification, an increased error probability is associated. Thus, bounds on the achievable performance as well as methods to detect graph inconsistencies resulting from erroneous decisions are presented. Also, a hybrid decoder achieving a negligible performance penalty compared to the sum-product decoder is presented. With the hybrid decoder, the internal communication is reduced with up to 40% for a rate-1/2 code with a length of 1152 bits, whereas increasing the rate allows significantly higher gains. The algorithms have been implemented in a Xilinx Virtex 5 FPGA, and the resulting slice utilization andenergy dissipation have been estimated. However, due to increased logic overhead of the early decision decoder, the slice utilization increases from 14.5% to 21.0%, whereas the logic energy dissipation reduction from 499 pJ to 291 pJ per iteration and bit is offset by the clock distribution power, increased from 141 pJ to 191 pJ per iteration and bit. Still, the early decision decoder shows a net 16% estimated decrease of energy dissipation.
Low-density parity-check codes are one of the most common forward error-correction techniques used in many existing and perspective standards including 5G wireless transmission standards and ultra-high-rate (400 Gbit/s and more) fiber-optic transmission standards. These codes should combine scalability of codelength from dozens to dozens of thousands bits and of coderate from low to very high with outstanding error-correcting performance when operating under severe practical limitations both from the point of view of decoding error and complexity issues. In many practical cases most widely used decoders suffer either from complexity out of system restrictions or from error performance penalties. In this paper the performance-complexity trade-off approach is considered, based on improved hard-decision decoders. Decoding of low-density parity-check codes with bit-flip algorithm is considered. The multi-threshold decoder based on the bit inversion algorithm is described using dynamically changed threshold during the decoding iterations, as well as the simplest empirical method is proposed for thresholds calculation. Simulation results in Gaussian channel with hard decision demodulation are given.
Recently, low-density parity-check (LDPC) codes have attracted much attention because of their excellent error correcting performance and highly parallelizable decoding scheme. However, the effective VLSI implementation of and LDPC decoder remains a big challenge and is a crucial issue in determining how well we can exploit the benefits of the LDPC codes in the real applications. In this master thesis report, following a error coding background, we describe Low-Density Parity-Check codes and their decoding algorithm, and also requirements and architectures of LPDC decoder implementations.