A novel genetic probability decoding (GPD) algorithm for the FEC code in optical communications

Yuan, Jinying; Wang, Lin; He, Qingping; Li, Hao; Wang, Yong

doi:10.1016/j.ijleo.2012.06.042

Cited by 5 publications

(2 citation statements)

References 9 publications

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“…The primary goals of genetic operations encompass maintaining the best individuals within the population, generating fresh individuals with unique traits, and enhancing the overall adaptability of the population. Through numerous iterations, the adaptability of individuals undergoes continuous refinement, culminating in the eventual attainment of an optimal solution [24]. Figure 1…”

Section: Genetic Algorithmsmentioning

confidence: 99%

Optimized decoder for low-density parity check codes based on genetic algorithms

El Ouakili,

El Ghzaoui,

El Alami

2024

IJECE

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Low-density parity check (LDPC) codes, are a family of error-correcting codes, their performances close to the Shannon limit make them very attractive solutions for digital communication systems. There are several algorithms for decoding LDPC codes that show great diversity in terms of performance related to error correction. Also, very recently, many research papers involved the genetic algorithm (GA) in coding theory, in particular, in the decoding linear block codes case, which has heavily contributed to reducing the bit error rate (BER). In this paper, an efficient method based on the GA is proposed and it is used to improve the power of correction in terms of BER and the frame error rate (FER) of LDPC codes. Subsequently, the proposed algorithm can independently decide the most suitable moment to stop the decoding process, moreover, it does not require channel information (CSI) making it adaptable for all types of channels with different noise or intensity. The simulations show that the proposed algorithm is more efficient in terms of BER compared to other LDPC code decoders.

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Section: Genetic Algorithmsmentioning

confidence: 99%

Optimized decoder for low-density parity check codes based on genetic algorithms

El Ouakili,

El Ghzaoui,

El Alami

2024

IJECE

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“…A Reliability Level List based decoding algorithm for binary BCH codes -which uses the exact reliability values to arrive at the most probable codeword -has been proposed by Yamuna and Padmanabhan [13]. In the past decade, much effort has been put on the application of heuristic evolutionary algorithms like Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Neural Networks (NNs) to the decoding problem [14], [15]. They were more robust and had a faster decoding convergence.…”

Section: Decoding Algorithms For Bch Codesmentioning

confidence: 99%

Support Vector Machine based Decoding Algorithm for BCH Codes

Sudharsan,

Yamuna

2016

JTIT

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Modern communication systems require robust, adaptable and high performance decoders for efficient data transmission. Support Vector Machine (SVM) is a margin based classification and regression technique. In this paper, decoding of Bose Chaudhuri Hocquenghem codes has been approached as a multi-class classification problem using SVM. In conventional decoding algorithms, the procedure for decoding is usually fixed irrespective of the SNR environment in which the transmission takes place, but SVM being a machinelearning algorithm is adaptable to the communication environment. Since the construction of SVM decoder model uses the training data set, application specific decoders can be designed by choosing the training size efficiently. With the soft margin width in SVM being controlled by an equation, which has been formulated as a quadratic programming problem, there are no local minima issues in SVM and is robust to outliers.

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A novel BTC decoding algorithm based on the genetic algorithm in optical communication systems

Yuan

Tian

et al. 2014

Optoelectron. Lett.

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A novel genetic probability decoding (GPD) algorithm for the FEC code in optical communications

Cited by 5 publications

References 9 publications

Optimized decoder for low-density parity check codes based on genetic algorithms

Optimized decoder for low-density parity check codes based on genetic algorithms

Support Vector Machine based Decoding Algorithm for BCH Codes

A novel BTC decoding algorithm based on the genetic algorithm in optical communication systems

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