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Wireless Communications and Mobile Computing

A New Reliability Ratio Weighted Bit Flipping Algorithm for Decoding LDPC Codes

Chakir Aqil, Ismail Akharraz, Abdelaziz Ahaitouf

Published Jan 1, 2021• 10 citations
Publisher

Abstract

In this study, we propose a “New Reliability Ratio Weighted Bit Flipping” (NRRWBF) algorithm for Low‐Density Parity‐Check (LDPC) codes. This algorithm improves the “Reliability Ratio Weighted Bit Flipping” (RRWBF) algorithm by modifying the reliability ratio. It surpasses the RRWBF in performance, reaching a 0.6 dB coding gain at a Binary Error Rate (BER) of 10−4 over the Additive White Gaussian Noise (AWGN) channel, and presents a significant reduction in the decoding complexity. Furthermore, we improved NRRWBF using the sum of the syndromes as a criterion to avoid the infinite loop. This will enable the decoder to attain a more efficient and effective decoding performance.

DOI
10.1155/2021/6698602

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In this study, we propose a “New Reliability Ratio Weighted Bit Flipping” (NRRWBF) algorithm for Low‐Density Parity‐Check (LDPC) codes. This algorithm improves the “Reliability Ratio Weighted Bit Flipping” (RRWBF) algorithm by modifying the reliability ratio. It surpasses the RRWBF in performance, reaching a 0.6 dB coding gain at a Binary Error Rate (BER) of 10−4 over the Additive White Gaussian Noise (AWGN) channel, and presents a significant reduction in the decoding complexity. Furthermore, we improved NRRWBF using the sum of the syndromes as a criterion to avoid the infinite loop. This will enable the decoder to attain a more efficient and effective decoding performance.
In this contribution, a novel reliability-ratio based weighted bit-flipping (RRWBF) algorithm is proposed for decoding low density parity check (LDPC) codes. The RRWBF algorithm proposed is benchmarked against the conventional weighted bit-flipping (WBF) algorithm and the improved weighted bit-flipping (IWBF) algorithm. More than 1 and 2 dB coding gain was achieved at a BER of 10/sup -5/ while invoking the RRWBF algorithm in comparison to the two benchmarking schemes, when communicating over an AWGN and an uncorrelated Rayleigh channel, respectively. Furthermore, the decoding complexity of the proposed RRWBF algorithm is maintained at the same level as that of the conventional WBF algorithm.
In this study, a modified channel‐independent weighted bit flipping (CIWBF) decoding algorithm is proposed for low‐density‐parity‐check codes. This modification, based on the ‘additive offset term adjustment’ in the reliability of the check sum, can also be applied to the reliability ratio weighted bit flipping algorithm. Simulation results show that the performance of the author's improved modified CIWBF algorithm is better than that of CIWBF algorithm about 0.45 dB at bit‐error rate of 10 −5 over an additive white Gaussian noise channel without much complexity increase.
The reliability ratio weighted based bit-flipping (RRWBF) algorithm for decoding low-density parity-check (LDPC) codes has recently been developed to provide the best performance among all existing bit-flipping based algorithms. The implementation efficient reliability ratio weighted based bit-flipping (IERRWBF) algorithm speedup the original algorithm to decrease the processing time used. A drawback for this algorithm is the decrease in the improvement as the maximum number of iterations assigned for the algorithm increase as a large percentage of decoding time is spent on the iteration part without any change in the performance. In this paper, a modified version for this algorithm is proposed to solve this drawback by reducing the number of iterations required to achieve the same performance of the existing IERRWBF algorithm using efficient number of iterations instead of using the maximum number of iterations for decoding without any change in the performance of the IERRWBF.
It was recently shown that the reliability ratio based bit-flipping (RRWBF) decoding algorithm for low-density parity-check (LDPC) codes performs best among existing bit-flipping-based algorithms. A new version of this algorithm is proposed such that decoding time is significantly reduced, especially when the iteration number is small and the code length is large. Simulation results showed the proposed version has up to 2322.39%, 823.90%, 511.79%, and 261.92% speedup compared to the original algorithm on a UNIX workstation for 10, 30, 50, and 100 iterations. It is thus much more efficient to adopt this version for simulation and hardware implementation. Moreover, this version of the RRWBF algorithm provides a more intuitive way of interpreting its superior performance over other bit-flipping-based algorithms.
Two simple and efficient weighted bit flipping(WBF)decoding algorithms for low density paritycheck(LDPC)codes are proposed,in which the sum of the variable nodes' magnitude is introduced to compute the reliability of the parity checks.Simulation results shows that the performance of one of the improved scheme is better than that of traditional WBF and modified WBF(MWBF)algorithms about 1.65dB and 1.31dB at BER of 10-5 over an additive white Gaussian noise channel,respectively,while the average number of decoding iterations is significantly reduced.
In this paper, a new algorithm called Reliability Ratio Weighted Bit Flipping-Sum Product (RRWBFSP) decoding is proposed for low-density parity-check codes.The new algorithm combines two different algorithms, Sum Product [4] and Reliability Ratio Weighted Bit Flipping [6].The results of the simulation show that the new algorithm achieves a 0.34 dB performance gain over of the standard Sum-Product decoding algorithms.Furthermore, RRWBFSP algorithm has almost the same computational complexity compared to the standard Sum-Product algorithm.