Blind Polarization Demultiplexing and Equalization of Probabilistically Shaped QAM

Dris, Stefanos; Alreesh, Saleem; Richter, André

doi:10.1364/ofc.2019.w1d.2

Cited by 25 publications

(15 citation statements)

References 4 publications

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“…For example, sample-and-hold strategy can be chosen as a low-complexity solution, or a decision-directed MMA can be applied at the tracking stage. The latter suffers performance penalty for probabilistically shaped signals [69]. Thus, in this work, we chose to interpolate the equalizer taps between pilot positions in order to avoid MMA and make the equalizer modulation format transparent [59].…”

Section: B Performance Measurement Stagementioning

confidence: 99%

Probabilistic Shaping for the Optical Phase Conjugation Channel

Yankov

Hansen

Ros

et al. 2021

IEEE J. Select. Topics Quantum Electron.

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Probabilistic constellation shaping is studied and developed for optical phase conjugation (OPC)-based nonlinearity compensation of Kerr nonlinearities in optical fiber links. The mid-link OPC scenario is considered for dispersion compensated systems. It is demonstrated in simulations and experimentally that transmission strategies optimal for classical additive white Gaussian noise (AWGN) channels can be sub-optimal for these systems without nonlinearity compensation. On the contrary, when nonlinearity compensation is applied with mid-link OPC, the channel noise is demonstrated to be Gaussian and AWGNlike transmission strategies thus remain effective. A channelagnostic probability mass function (PMF) optimization algorithm is proposed for the input constellation in order to further improve the shaping gains in both scenarios. Operating arbitrary PMFs on arbitrary channels is enabled by a channel-agnostic digital signal processing (DSP) chain. After ≈2000 km of transmission, mid-link OPC is demonstrated to provide ≈1 dB of gain in effective SNR, which translates to ≈0.4 bits/QAM symbol of gain in achievable information rate. The gain is then increased by an extra ≈0.2 bits/QAM symbol by applying probabilistic shaping.

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Section: B Performance Measurement Stagementioning

confidence: 99%

Probabilistic Shaping for the Optical Phase Conjugation Channel

Yankov

Hansen

Ros

et al. 2021

IEEE J. Select. Topics Quantum Electron.

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“…Therefore, the key to Stokes space-based methods for polarization de-multiplexing is to track the 3-D rotation caused by RSOP [18]- [20].…”

Section: Principlementioning

confidence: 99%

“…To address the above issues, Stokes space-based polarization de-multiplexing algorithms have been proposed [18]- [20]. These Stokes space-based equalizers could track RSOP utilizing the relationship between polarization state and spatial distribution of Stokes vectors.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Blind Stokes-Space Based Equalizer for RSOP in SV-DD Systems With High Chromatic Dispersion Tolerance

Jin

et al. 2020

IEEE Photonics J.

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Polarization de-multiplexing becomes challenging in Stokes vector-direct detection (SV-DD) systems, especially when the rotation of state of polarization (RSOP) and fiber chromatic dispersion (CD) are induced. To address this issue, an adaptive blind RSOP equalizer based on Stokes space is proposed. After theoretical analysis, it is found that the distribution of transmitted signals in Stokes space keeps a paraboloid. Based on this analysis, an adaptive scheme is proposed to track the symmetry axis of paraboloid for the first time. It is worth noticing that not only CD but also high-order modulation formats could not change the paraboloid distribution. Therefore, our algorithm has strong robustness to CD and good suitability for SV-DD systems with different modulation formats. In our simulation, the conventional Stokes space-based method and the training sequences (TS) method are both evaluated for comparison. The results show that our scheme can track RSOP of 20 Mrad/s and 8 Mrad/s at hard-decision forward error correction threshold in 28 Gbaud 4-level quadrature amplitude modulation (4-QAM) and 16-QAM SV-DD systems after 100 km fiber transmission, respectively. No additional computational complexity is required compared to the conventional Stokes space-based method. Moreover, compared to the TS-based method, there is no need to know the actual channel information, contributing to good flexibility.

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“…Research into DSP algorithms for blind demodulation of PS-M-QAM, focusing first on polarization-demultiplexing and equalization, has been started. A novel approach has been developed that relies on a 2-stage scheme comprising a polarization alignment algorithm, followed by a probability-aware time-domain Multi-Input Multi-Output (MIMO) equalizer [16] . An illustrative example simulation setup that demonstrates the operation of the DSP demodulation process is presented in Figure 22.…”

Section: Modulation Formats and Dspmentioning

confidence: 99%

A new generation of high-speed electro-optical transceivers and flexible bandwidth wavelength selective switches for coherent DCI: the QAMeleon project approach

Zervos

Spyropoulou

Kanakis

et al. 2019

Optical Interconnects XIX

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Blind Polarization Demultiplexing and Equalization of Probabilistically Shaped QAM

Cited by 25 publications

References 4 publications

Probabilistic Shaping for the Optical Phase Conjugation Channel

Probabilistic Shaping for the Optical Phase Conjugation Channel

Adaptive Blind Stokes-Space Based Equalizer for RSOP in SV-DD Systems With High Chromatic Dispersion Tolerance

A new generation of high-speed electro-optical transceivers and flexible bandwidth wavelength selective switches for coherent DCI: the QAMeleon project approach

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