Performance Analysis of MLSE Receivers Based on the Square-Root Metric

Bosco, Gabriella; Poggiolini, Pierluigi; Visintin, Monica

doi:10.1109/jlt.2008.920135

Cited by 23 publications

(27 citation statements)

References 27 publications

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“…In various MLSE systems, both through simulations and experiments [34]- [36], we found that the following law fitted well the needed processor memory vs. CD, for smooth NRZ pulses:…”

Section: Number Of Fir Filter Taps For Pm-qammentioning

confidence: 73%

Evaluation of the computational effort for chromatic dispersion compensation in coherent optical PM-OFDM and PM-QAM systems

Poggiolini¹,

Carena²,

Curri³

et al. 2009

Opt. Express

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Recently, coherent-detection (CoD) polarization multiplexed (PM) transmission has attracted considerable interest, specifically as a possible solution for next-generation systems transmitting 100 Gb/s per channel and beyond. In this context, enabled by progress in ultra-fast digital signal processing (DSP) electronics, both multilevel phase/amplitude modulated formats (such as QAM) and orthogonal-frequency-division multiplexed (OFDM) formats have been proposed. One specific feature of DSP-supported CoD is the possibility of dealing with fiber chromatic dispersion (CD) electronically, either by post-filtering (PM-QAM) or by appropriately introducing symbol-duration redundancy (PM-OFDM). In both cases, ultra-long-haul fully uncompensated links seem to be possible. In this paper we estimate the computational effort required by CD compensation, when using the PM-QAM or PM-OFDM formats. Such effort, when expressed as number of operations per received bit, was found to be logarithmic with respect to link length, bit rate and fiber dispersion, for both classes of systems. We also found that PM-OFDM may have some advantage over PM-QAM, depending mostly on the over-sampling needed by the two systems. Asymptotically, for large channel memory and small over-sampling, the two systems tend to require the same CD-compensation computational effort. We also showed that the effort required by the mitigation of polarization-related effects can in principle be made small as compared to that of CD over long uncompensated links.

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“…In various MLSE systems, both through simulations and experiments [34]- [36], we found that the following law fitted well the needed processor memory vs. CD, for smooth NRZ pulses:…”

Section: Number Of Fir Filter Taps For Pm-qammentioning

confidence: 73%

Evaluation of the computational effort for chromatic dispersion compensation in coherent optical PM-OFDM and PM-QAM systems

Poggiolini¹,

Carena²,

Curri³

et al. 2009

Opt. Express

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show abstract

“…In the latter case, memory is introduced due to the interaction of fiber nonlinearities, dispersion and noise, which cannot be completely removed by the DSP chain. Detectors for channels with memory are typically based on the maximum-likelihood sequence estimation [43], [44], [45], [46], whose complexity grows exponentially with both the memory and the alphabet cardinality (and thus the target channel use efficiency). This constrains standard, fast optical receivers to memoryless processing, effectively applying the mismatched decoding principle in the following way.…”

Section: Achievable Information Ratesmentioning

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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“…The MLSE runs at 1 sample per symbol and operates statically; meaning it is trained at the beginning and not changed afterwards any more. Along the lines of [25] we estimate the mean of the probability density functions (PDFs) of a channel matrix using 2 15 received samples and the corresponding digital data from the first period of the sent sequence. This assumes an additive Gaussian noise distribution with equal variance for all PDFs.…”

Section: Mlsementioning

confidence: 99%

Experimental Demonstration of 84 Gb/s PAM-4 Over up to 1.6 km SSMF Using a 20-GHz VCSEL at 1525 nm

Eiselt

Grießer

Wei

et al. 2017

J. Lightwave Technol.

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Performance Analysis of MLSE Receivers Based on the Square-Root Metric

Cited by 23 publications

References 27 publications

Evaluation of the computational effort for chromatic dispersion compensation in coherent optical PM-OFDM and PM-QAM systems

Evaluation of the computational effort for chromatic dispersion compensation in coherent optical PM-OFDM and PM-QAM systems

Probabilistic Shaping for the Optical Phase Conjugation Channel

Experimental Demonstration of 84 Gb/s PAM-4 Over up to 1.6 km SSMF Using a 20-GHz VCSEL at 1525 nm

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