Channel Coding for Optical Communications

Benedetto, S.; Bosco, Gabriella

doi:10.1007/0-387-23136-6_8

Cited by 10 publications

(3 citation statements)

References 41 publications

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“…Third, using our SDD scheme, the performance gaps at small L are about 2.5 dB smaller than for the HDD scheme in [3], close to the expected advantage of SDD over HDD [28]. These gaps are measured at the longest distances where the highest information bit rate R b (200 Gbit/s) is achievable, as shown in Fig.…”

Section: Discussionmentioning

confidence: 81%

Rate-Adaptive Modulation and Low-Density Parity-Check Coding for Optical Fiber Transmission Systems

Gho

Kahn

2012

J. Opt. Commun. Netw.

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We propose a rate-adaptive optical transmission scheme using variable-size constellations at a fixed symbol rate and variable-rate forward error correction (FEC) codes with soft-decision decoding (SDD), quantifying how achievable bit rates vary with transmission distance. The scheme uses outer Reed-Solomon codes and inner extended irregular repeat-accumulate low-density parity-check (LDPC) codes to vary the code rate, combined with single-carrier polarizationmultiplexed M-ary quadrature amplitude modulation with variable M and digital coherent detection. LDPC codes are decoded iteratively using belief propagation. Employing M = 4, 8, 16, the scheme achieves a maximum bit rate of 200 Gbit/s in a nominal 50-GHz channel bandwidth. A rate adaptation algorithm uses the signal-to-noise ratio (SNR) or the FEC decoder input bit-error ratio (BER) estimated by a receiver to determine the FEC code rate and constellation size that maximize the information bit rate while yielding a target FEC decoder output BER and a specified SNR margin. We simulate single-channel transmission through long-haul fiber systems with or without inline chromatic dispersion compensation, incorporating numerous optical switches, evaluating the impact of fiber nonlinearity and bandwidth narrowing. With zero SNR margin, we achieve bit rates of 200/100/50/20 Gbit/s over distances of 960/2800/4400/9680 km and 1920/4960/8160/19,360 km in dispersion-compensated and -uncompensated systems, respectively, corresponding to an increase of about 50% in reach compared to a reference system that uses a hard-decision FEC scheme. Compared to an ideal coding scheme, the proposed scheme exhibits a performance gap ranging from about 4.0 dB at 960 km to 2.7 dB at 9680 km in compensated systems, and from about 3.9 dB at 1920 km to 2.9 dB at 19,360 km in uncompensated systems. Observed performance gaps are about 2.5 dB smaller than for the reference hard-decision FEC scheme, close to the improvement expected when using SDD.

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Section: Discussionmentioning

confidence: 81%

Rate-Adaptive Modulation and Low-Density Parity-Check Coding for Optical Fiber Transmission Systems

Gho

Kahn

2012

J. Opt. Commun. Netw.

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“…Codificação de canal em transmissão óptica impõe um desafio ao projetista do sistema. Ele deve garantir simultaneamente: a) uma taxa de transmissão de informação alta (atualmente além de 100 Gb/s por comprimento de onda); b) uma taxa de codificação alta (vazão do sistema deve ser alta); c) e também trabalhar com probabilidade de erro muito baixa numa razão sinal-ruído baixa [12].…”

Section: Codificação De Canalunclassified

Modulação Codificada para Comunicações Ópticas

Gallep¹,

Portugheis²,

Bravo‐Roger³

et al. 2012

Anais De XXX Simpósio Brasileiro De Telecomunicações

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Resumo-Modulação codificada é uma ferramenta básica para simultaneamente melhorar o desempenho e aumentar a eficiência espectral de um sistema de transmissão digital. Nos últimos anos vários esquemas de modulação codificada foram propostos como candidatos a serem utilizados em sistemas de transmissão óptica que operam com eficiências espectrais altas. O objetivo deste artigo é discutir estes esquemas e comentar sobre desafios peculiares de projeto e implementação dos mesmos. Palavras-Chave-Sistemas de transmissão óptica, alta eficiência spectral, modulação codificada.

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“…The third-generation FEC schemes use the technique of soft-decision decoding (SDD), of which the block turbo codes (BTC) and the LDPC codes are the two competing classes [5].…”

Section: Introductionmentioning

confidence: 99%

Block Markov Superposition Transmission of BCH Codes With Iterative Erasures-and-Errors Decoders

Cai

Nie

2019

IEEE Trans. Commun.

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In this paper, we present the block Markov superposition transmission of BCH (BMST-BCH) codes, which can be constructed to obtain a very low error floor. To reduce the implementation complexity, we design a low complexity iterative sliding-window decoding algorithm, in which only binary and/or erasure messages are processed and exchanged between processing units. The error floor can be predicted by a genie-aided lower bound, while the waterfall performance can be analyzed by the density evolution method. To evaluate the error floor of the constructed BMST-BCH codes at a very low bit error rate (BER) region, we propose a fast simulation approach. Numerical results show that, at a target BER of 10 −15 , the hard-decision decoding of the BMST-BCH codes with overhead 25% can achieve a net coding gain (NCG) of 10.55 dB. Furthermore, the soft-decision decoding can yield an NCG of 10.74 dB. The construction of BMST-BCH codes is flexible to trade off latency against performance at all overheads of interest and may find applications in optical transport networks as an attractive candidate. Index TermsBCH codes, block Markov superposition transmission (BMST), forward error correction (FEC), iterative decoding, optical communication.

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Channel Coding for Optical Communications

Cited by 10 publications

References 41 publications

Rate-Adaptive Modulation and Low-Density Parity-Check Coding for Optical Fiber Transmission Systems

Rate-Adaptive Modulation and Low-Density Parity-Check Coding for Optical Fiber Transmission Systems

Modulação Codificada para Comunicações Ópticas

Block Markov Superposition Transmission of BCH Codes With Iterative Erasures-and-Errors Decoders

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