An Improved Low Complex Hybrid Weighted Bit-Flipping Algorithm for LDPC Codes

Roberts, Michaelraj Kingston; Ramesh, J.

doi:10.1007/s11277-014-2210-4

Cited by 7 publications

(4 citation statements)

References 13 publications

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“…For MMWBF [21] algorithm, the two WBF algorithms are mixed: RRWBF and IMWBF, acting, respectively, as a primary decoding algorithm and as an auxiliary algorithm.…”

Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

“…It uses a reliability ratio different from the weight of previous algorithms and demonstrates a significant improvement in performance. An Improved Low Complex Hybrid Weighted Bit Flipping (ILCHWBF) [21] algorithm is an important hard decision algorithm compared to the previously mentioned ones because the weight used includes parameters from both the MS and BF variants along with an experimental factor determined by simulations.…”

Section: Introductionmentioning

confidence: 99%

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

Aqil

Akharraz

Ahaitouf

2021

Wireless Communications and Mobile Computing

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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.

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“…For MMWBF [21] algorithm, the two WBF algorithms are mixed: RRWBF and IMWBF, acting, respectively, as a primary decoding algorithm and as an auxiliary algorithm.…”

Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Aqil

Akharraz

Ahaitouf

2021

Wireless Communications and Mobile Computing

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“…Noisy environment with fading, shadowing and multipath typically requires more efficient control coding with strong decoding scheme to retrieve all data correctly. LDPC codes are the most efficient codes in the area used for reliable communication with BER performance closed to the Shannon limit [26,42]. However, these codes employ a complex iterative decoding in the receiver which raises the energy consumption.…”

Section: Energy Model For Multi-hop Wsnmentioning

confidence: 99%

A Hybrid Adaptive Coding and Decoding Scheme for Multi-hop Wireless Sensor Networks

Ez‐zazi

Arioua

Oualkadi

et al. 2016

Wireless Pers Commun

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In this paper, we have proposed a hybrid adaptive coding and decoding scheme for multi-hop wireless sensor networks (WSNs). Energy consumption and transmission reliability are used as performance metrics for multi-hop communications in WSNs. The presented scheme takes into account distance, channel conditions and correction codes performance to decide coding and decoding procedure, and considers Reed Solomon (RS) code and Low Density Parity Check (LDPC) code to provide error protection on the transmitted data. The proposed approach aims to reduce the decoding power consumption and to prolong the lifetime of the network as well as improve the reliability of the transmission. Simulation results show that our performed scheme enhances both energy efficiency and communication reliability of multi-hop sensor networks.

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“…Initially [4] proposed a weighted bit flipping (WBF) method as an upgrade to the bit flipping algorithm (BFA) in order to reduce error rates and boost a decoding stability. Following that, other WBF algorithm advancements were proposed, such as the modified weighted bit flipping (MWBF) algorithm [13], improved modified WBF (IMWBF) algorithm [14], improved reliability ratio WBF (RRWBF) algorithm [15], mixed modified weighted bit flipping (MMWBF) algorithm [16], improved low complex hybrid WBF (ILCHWBF) [17], channel independent WBF (CIWBF) algorithm [18], and new reliability ratio weighted bit flipping (NRRWBF) [19].…”

Section: Introductionmentioning

confidence: 99%

New low-density-parity-check decoding approach based on the hard and soft decisions algorithms

Ouakili

Touati

Kadi

et al. 2023

IJECE

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<span lang="EN-US">It is proved that hard decision algorithms are more appropriate than a soft decision for low-density parity-check (LDPC) decoding since they are less complex at the decoding level. On the other hand, it is notable that the soft decision algorithm outperforms the hard decision one in terms of the bit error rate (BER) gap. In order to minimize the BER and the gap between these two families of LDPC codes, a new LDPC decoding algorithm is suggested in this paper, which is based on both the normalized min-sum (NMS) and modified-weighted bit-flipping (MWBF). The proposed algorithm is named normalized min sum- modified weighted bit flipping (NMSMWBF). The MWBF is executed after the NMS algorithm. The simulations show that our algorithm outperforms the NMS in terms of BER at 10-8 over the additive white gaussian noise (AWGN) channel by 0.25 dB. Furthermore, the proposed NMSMWBF and the NMS are both at the same level of decoding difficulty.</span>

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An Improved Low Complex Hybrid Weighted Bit-Flipping Algorithm for LDPC Codes

Cited by 7 publications

References 13 publications

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

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

A Hybrid Adaptive Coding and Decoding Scheme for Multi-hop Wireless Sensor Networks

New low-density-parity-check decoding approach based on the hard and soft decisions algorithms

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