Replacing the Soft-Decision FEC Limit Paradigm in the Design of Optical Communication Systems

Alvarado, Alex; Agrell, Erik; Lavery, Domaniç; Maher, Robert; Bayvel, Polina

doi:10.1109/jlt.2015.2450537

Cited by 259 publications

(186 citation statements)

References 59 publications

(71 reference statements)

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“…In order to evaluate the performance of the wavelength converter, the pre-HD-FEC bit error ratio (BER) is used, benchmarking the generated idler quality against the back-to-back signal measured at the transmitter output. The pre-HD-FEC BER is chosen as metric as it allows to reliably predict the post-FEC BER when a HD code is used [35]. The pre-HD-FEC threshold here considered for error-free performance corresponds to a BER = 3.8 × 10 −3 and will be referred to as 'HD-FEC threshold'.…”

Section: Methodsmentioning

confidence: 99%

Characterization and Optimization of a High-Efficiency AlGaAs-On-Insulator-Based Wavelength Converter for 64- and 256-QAM Signals

Ros

Yankov

Silva

et al. 2017

J. Lightwave Technol.

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Abstract-In this paper, we demonstrate wavelength conversion of advanced modulation formats such as 10-GBd 64-QAM and 256-QAM with high conversion efficiency over a 29-nm spectral window by using four-wave mixing in an AlGaAs-On-Insulator (AlGaAsOI) nano-waveguide. A thorough characterization of the wavelength converter is reported, including the optimization of the AlGaAsOI nano-waveguide in terms of conversion efficiency and associated bandwidth and the analysis of the impact of the converter pump quality and power as well as the signal input power. The optimized converter enables generating idlers with optical signal-to-noise ratio (OSNR) above 30 dB over a 29-nm bandwidth leading to error-free conversion of 64-QAM and 256-QAM with OSNR penalty below 1.0 dB and 2.0 dB respectively. The generated idlers exhibit an OSNR margin to the chosen forward error correction thresholds of >3 dB and >7 dB for 64-QAM and 256-QAM, respectively, that can be used for transmission after conversion.

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Section: Methodsmentioning

confidence: 99%

Characterization and Optimization of a High-Efficiency AlGaAs-On-Insulator-Based Wavelength Converter for 64- and 256-QAM Signals

Ros

Yankov

Silva

et al. 2017

J. Lightwave Technol.

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“…1. The figure of merit used in this paper is the generalized mutual information (GMI) [17]. The GMI gives an upper bound on the AIR after forward error correction (FEC) decoding, and is estimated in bits/QAM symbol.…”

Section: Algorithm 1 Estimation Of Wiener Model Parametersmentioning

confidence: 99%

Nonlinear Phase Noise Compensation in Experimental WDM Systems With 256QAM

Yankov

Ros

Silva

et al. 2017

J. Lightwave Technol.

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Abstract-Nonlinear phase noise (NLPN) is studied in an experimental wavelength division multiplexed (WDM) system operating at 256QAM. Extremely narrow linewidth lasers (<1 kHz) at the transmitter and the receiver allow for extracting the phase part of the nonlinear noise in a Raman amplified link. Based on the experimental data, the autocorrelation function of the NLPN is estimated and it matches the theoretical predictions. Several algorithms are examined as candidates for tracking and compensating the NLPN. It is shown that algorithms which exploit the distribution of the NLPN achieve higher gains than standard methods, which only exploit the correlation properties. Up to 300 km reach increase is achieved for a 5x10 GBaud WDM system with base distance of up to 1600 km. The gains are comparable to the gains of single channel digital back-propagation, with even further improvements from the combination of both techniques.

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“…This concept is first introduced in [14,15], and it is practically deployed in communication system and it is known as bit interleaved coded modulation (BICM) capacity. The GMI capacity can be defined as:…”

Section: Generalized Mutual Informationmentioning

confidence: 99%

FPGA-based LDPC-coded APSK for optical communication systems

2017

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Abstract:In this paper, with the aid of mutual information and generalized mutual information (GMI) capacity analyses, it is shown that the geometrically shaped APSK that mimics an optimal Gaussian distribution with equiprobable signaling together with the corresponding gray-mapping rules can approach the Shannon limit closer than conventional quadrature amplitude modulation (QAM) at certain range of FEC overhead for both 16-APSK and 64-APSK. The field programmable gate array (FPGA) based LDPC-coded APSK emulation is conducted on block interleaver-based and bit interleaver-based systems; the results verify a significant improvement in hardware efficient bit interleaver-based systems. In bit interleaver-based emulation, the LDPC-coded 64-APSK outperforms 64-QAM, in terms of symbol signal-to-noise ratio (SNR), by 0.1 dB, 0.2 dB, and 0.3 dB at spectral efficiencies of 4.8, 4.5, and 4.2 b/s/Hz, respectively. It is found by emulation that LDPC-coded 64-APSK for spectral efficiencies of 4.8, 4.5, and 4.2 b/s/Hz is 1.6 dB, 1.7 dB, and 2.2 dB away from the GMI capacity.

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Replacing the Soft-Decision FEC Limit Paradigm in the Design of Optical Communication Systems

Cited by 259 publications

References 59 publications

Characterization and Optimization of a High-Efficiency AlGaAs-On-Insulator-Based Wavelength Converter for 64- and 256-QAM Signals

Characterization and Optimization of a High-Efficiency AlGaAs-On-Insulator-Based Wavelength Converter for 64- and 256-QAM Signals

Nonlinear Phase Noise Compensation in Experimental WDM Systems With 256QAM

FPGA-based LDPC-coded APSK for optical communication systems

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