Iterative Detection and Phase-Noise Compensation for Coded Multichannel Optical Transmission

Alfredsson, Arni F.; Agrell, Erik; Wymeersch, Henk

doi:10.1109/tcomm.2019.2912569

Cited by 11 publications

(28 citation statements)

References 43 publications

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“…The theoretical BER performance for uncoded, pilot-free transmission of Gray-mapped 256QAM over the AWGN channel [32] is included as a reference. FGK outperforms BPS across all tested SNRs, which is consistent with the coded-transmission results presented in [24].…”

Section: A Comparison Between Fgk and Bps For Pc-cpesupporting

confidence: 89%

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Pilot-Aided Joint-Channel Carrier-Phase Estimation in Space-Division Multiplexed Multicore Fiber Transmission

Alfredsson

Agrell

Wymeersch

et al. 2019

J. Lightwave Technol.

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The performance of pilot-aided joint-channel carrier-phase estimation (CPE) in space-division multiplexed multicore fiber (MCF) transmission with correlated phase noise is studied. To that end, a system model describing uncoded MCF transmission where the phase noise comprises a common laser phase noise, in addition to core-and polarization-specific phase drifts, is introduced. It is then shown that the system model can be regarded as a special case of a multidimensional randomwalk phase-noise model. A pilot-aided CPE algorithm developed for this model is used to evaluate two strategies, namely jointchannel and per-channel CPE. To quantify the performance differences between the two strategies, their respective phasenoise tolerances are assessed through Monte Carlo simulations of uncoded transmission for different modulation formats, pilot overheads, laser linewidths, numbers of spatial channels, and degrees of phase-noise correlation across the channels. For 20 GBd transmission with 200 kHz combined laser linewidth and 1% pilot overhead, joint-channel CPE yields up to 3.4 dB improvement in power efficiency or 25.5% increased information rate. Moreover, through MCF transmission experiments, the system model is validated and the strategies are compared in terms of bit-error-rate performance versus transmission distance for uncoded transmission of different modulation formats. Up to 21% increase in transmission reach is observed for 1% pilot overhead through the use of joint-channel CPE.

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Section: A Comparison Between Fgk and Bps For Pc-cpesupporting

confidence: 89%

“…In this section, the main derivation results are presented. For more details on the derivations, refer to [24], where an analogous bit-detection algorithm for coded transmission is derived using the same techniques.…”

Section: Cpe Algorithmmentioning

confidence: 99%

Pilot-Aided Joint-Channel Carrier-Phase Estimation in Space-Division Multiplexed Multicore Fiber Transmission

Alfredsson

Agrell

Wymeersch

et al. 2019

J. Lightwave Technol.

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“…10, where BERs and AIRs are presented for transmission through 2 and 10 cores. Each AIR is based on computing the generalized mutual information for the mismatched decoder developed in [15], and subtracting the pilot rate. Unless specified otherwise, ∆ν C = 200 kHz, and for the results pertaining to 2 cores, ξ 1 = 0 and ξ 2 takes on different values; thus, the intercore skew is encapsulated in ξ |ξ 2 −ξ 1 | = ξ 2 .…”

Section: Numerical Resultsmentioning

confidence: 99%

“…In [14], an algorithm for joint-polarization CPE was proposed, where due to the high degree of correlation in the phase noise in both polarizations, significant performance gains were achieved over per-channel processing. Furthermore, in [2], [15], algorithms performing CPE jointly on an arbitrary number of channels were proposed and found effective based on experimental verification involving MCF transmission [5] and frequency-comb-based wavelength-division multiplexed (WDM) transmission [2].…”

Section: Introductionmentioning

confidence: 99%

“…In [15], a simplistic multichannel phase-noise model was considered and used to develop a pilot-aided algorithm that performs joint-channel CPE for arbitrarily correlated phase noise. Both the model and the resulting algorithm proved effective when experimentally validated for transmission through a weakly-coupled, single-mode, homogeneous MCF [5].…”

Section: Introductionmentioning

confidence: 99%

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On the Performance of Joint-Core Carrier-Phase Estimation in the Presence of Intercore Skew

Alfredsson

Agrell

Karlsson

et al. 2019

J. Lightwave Technol.

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The sharing of lasers in space-division multiplexed multicore-fiber transmission yields correlated phase noise across the spatial channels. As a result, system performance can be improved through the use of joint-core carrier-phase estimation (CPE). However, the presence of intercore skew can reduce the potential of such schemes. This paper studies the effects of skew on pilot-aided joint-core CPE, where via simulations, it is shown that joint-core processing can be made to perform similarly to or better than separate-core processing for any amount of skew. It is shown that for a given signal-to-noise ratio (SNR) and skew, the performance of joint-core CPE relative to separate-core CPE is highly dependent on the ratio of the light-source linewidth to the local oscillator (LO) linewidth. In general, the performance of joint-core CPE in the presence of skew improves as the LO linewidth decreases compared to the light-source laser linewidth, assuming that the spatial channels are digitally realigned at the receiver.

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Joint parameter estimation and decoding in a distributed receiver

Waqas

Nguyen

Lechner

et al. 2022

Satell Commun Network

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Summary This paper presents an algorithm for iterative joint channel parameter (carrier phase, Doppler shift, and Doppler rate) estimation and decoding of transmission over channels affected by Doppler shift and Doppler rate using a distributed receiver. This algorithm is derived by applying the sum‐product algorithm (SPA) to a factor graph representing the joint a posteriori distribution of the information symbols and channel parameters given the channel output. In this paper, we present two methods for dealing with intractable messages of the SPA. In the first approach, we use particle filtering with sequential importance sampling for the estimation of the unknown parameters. We also propose a method for fine‐tuning of particles for improved convergence. In the second approach, we approximate our model with a random walk phase model, followed by a phase tracking algorithm and polynomial regression algorithm to estimate the unknown parameters. We derive the Weighted Bayesian Cramer‐Rao Bounds for joint carrier phase, Doppler shift, and Doppler rate estimation, which take into account the prior distribution of the estimation parameters and are accurate lower bounds for all considered signal‐to‐noise ratio values. Numerical results (of bit error rate and the mean‐square error of parameter estimation) suggest that phase tracking with the random walk model slightly outperforms particle filtering. However, particle filtering has a lower computational cost than the random walk model‐based method.

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Iterative Detection and Phase-Noise Compensation for Coded Multichannel Optical Transmission

Cited by 11 publications

References 43 publications

Pilot-Aided Joint-Channel Carrier-Phase Estimation in Space-Division Multiplexed Multicore Fiber Transmission

Pilot-Aided Joint-Channel Carrier-Phase Estimation in Space-Division Multiplexed Multicore Fiber Transmission

On the Performance of Joint-Core Carrier-Phase Estimation in the Presence of Intercore Skew

Joint parameter estimation and decoding in a distributed receiver

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