Coded Modulation of Polarization- and Space-Multiplexed Signals

Bülow, H.; Abay, Umit; Schenk, Andreas; Huber, Johannes B.

doi:10.1364/acp.2011.83090w

Cited by 4 publications

(4 citation statements)

References 16 publications

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“…7 The BW decoder can be cast into the framework of a mismatched decoder by considering a symbol-wise metric…”

Section: Bw Receiversmentioning

confidence: 99%

“…This structure is known as BICM-ID and was introduced in [11]- [13]. BICM-ID for optical communications has been studied in [14]- [16], [7,Sec. 3], [17,Sec.…”

mentioning

confidence: 99%

“…4.3] for the same purpose. The GMI, also known as the BICM capacity (or parallel decoding capacity), was introduced in an optical communications context in [7]. The performance of some LDPC codes with four-dimensional constellations over the additive white Gaussian noise (AWGN) channel was evaluated in terms of the GMI in [34].…”

mentioning

confidence: 99%

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

Alvarado

Agrell

Lavery

et al. 2016

J. Lightwave Technol.

106

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Abstract-The FEC limit paradigm is the prevalent practice for designing optical communication systems to attain a certain bit-error rate (BER) without forward error correction (FEC). This practice assumes that there is an FEC code that will reduce the BER after decoding to the desired level. In this paper, we challenge this practice and show that the concept of a channel-independent FEC limit is invalid for soft-decision bitwise decoding. It is shown that for low code rates and high order modulation formats, the use of the soft FEC limit paradigm can underestimate the spectral efficiencies by up to 20%. A better predictor for the BER after decoding is the generalized mutual information, which is shown to give consistent post-FEC BER predictions across different channel conditions and modulation formats. Extensive optical full-field simulations and experiments are carried out in both the linear and nonlinear transmission regimes to confirm the theoretical analysis.

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“…7 The BW decoder can be cast into the framework of a mismatched decoder by considering a symbol-wise metric…”

Section: Bw Receiversmentioning

confidence: 99%

“…This structure is known as BICM-ID and was introduced in [11]- [13]. BICM-ID for optical communications has been studied in [14]- [16], [7,Sec. 3], [17,Sec.…”

mentioning

confidence: 99%

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

Alvarado

Agrell

Lavery

et al. 2016

J. Lightwave Technol.

106

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“…2, it includes outer iterations of soft information between demapper and decoder [2][3][4][5]. Among the different options for bit-to-symbol mapping for PM-8QAM star, we have chosen the mapping with the highest BICM capacity [8]. In Fig.…”

Section: Soft-decoder and Bit To Symbol Mappingmentioning

confidence: 99%

Experimental Performance of 4D Optimized Constellation Alternatives for PM-8QAM and PM-16QAM

Buelow

Schmalen

et al. 2014

Optical Fiber Communication Conference

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Adaptive coded modulation for nonlinear fiber-optical channels

Beygi

Agrell

Karlsson

2012

2012 IEEE Globecom Workshops

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A low complexity hybrid polar low-density parity check (LDPC) coded modulation (CM) scheme is introduced for a single-wavelength fiber-optical channel. In the proposed scheme, we exploit a low complexity probabilistic shaping together with a four-dimensional (4D) mapping to reduce the complexity of a 4D non-binary LDPC CM scheme for fiber-optic channels. The proposed scheme has a flexible structure and it can be used as an adaptive-rate CM scheme. The numerical results show that the forward error correction (FEC) threshold of the introduced CM scheme can be significantly improved by probabilistic shaping with a negligible increase in the system complexity. In particular, the FEC threshold for the uncoded symbol error rate of the introduced CM scheme with 4D 16-ary quadrature amplitude modulation can be improved from 0.058 to 0.072 by exploiting a shaping overhead (redundancy) of 0.016 for an information bit error rate of 10 −5 .

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Coded Modulation of Polarization- and Space-Multiplexed Signals

Cited by 4 publications

References 16 publications

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

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

Experimental Performance of 4D Optimized Constellation Alternatives for PM-8QAM and PM-16QAM

Adaptive coded modulation for nonlinear fiber-optical channels

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