Hardware-Efficient Chromatic Dispersion Estimator based on Parallel Gardner Timing Error Detector

Diniz, Júlio C. M.; Ranzini, Stenio M.; Ribeiro, Vitor B.; Magalhães, Eduardo; Rosa, Eugênio Spanó; Parahyba, Victor; Franz, L. V.; Ferreira, Elvira; Oliveira, J. C. R. F.

doi:10.1364/ofc.2013.oth3c.6

Cited by 11 publications

(9 citation statements)

References 3 publications

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“…Transmission impairments and nonlinear effects are assumed to be compensated at the receiver (out of the scope of this work). Prior works address nonlinear impairments compensation [24], carrier recovery [25] and chromatic dispersion estimation and compensation [26]. Related works with additional details of the AN test-bed include SDN applications for advanced WSS-based equalization [27], joint optimization of EDFA and WSS [28] and overshoot suppression when undesired transient responses occur in optical networks composed of WSS-based ROADMs [29].…”

Section: A Optical Network Test-bed Overviewmentioning

confidence: 99%

Traffic Allocation Strategies in WSS-Based Dynamic Optical Networks

Shakeri¹,

Garrich

Bravalheri³

et al. 2017

J. Opt. Commun. Netw.

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-Elastic optical networking (EON) is a viable solution to meet future dynamic capacity requirements of Internet Service Provider (ISP) and inter-datacenter networks. At the core of EON, Wavelength Selective Switches (WSSs) are applied to individually route optical circuits, while assigning an arbitrary bandwidth to each circuit. Critically, the WSS control scheme and configuration time may delay the creation time of each circuit in the network. In this paper, we first detail the WSS-based optical data-plane implementation of a metropolitan network test-bed. Then, we review an SDN application, designed to enable dynamic and fast circuit setup. Subsequently, we introduce a WSS logical model that captures the WSS time-sequence and is used to estimate the circuit setup response time. Then, we present two batch service policies that aim to reduce the circuit-setup response time by bundling multiple WSS reconfiguration steps into a single SDN command. Resulting performance gains are estimated through simulation.

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Section: A Optical Network Test-bed Overviewmentioning

confidence: 99%

Traffic Allocation Strategies in WSS-Based Dynamic Optical Networks

Shakeri¹,

Garrich

Bravalheri³

et al. 2017

J. Opt. Commun. Netw.

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“…Diverse variants of this procedure, each using a different metric, have been shown so far. A criterion derived from constant modulus algorithm (CMA) is used in [10], [11], delay-tap sampling estimator [12], [13], autocorrelation of signal power waveform [14], [15], clock tone search [16]- [18], Gardner time error detector variance [19]. Recently, another technique has been demonstrated, where the sweep over CD values is performed automatically when applying FFT on the autocorrelation of discrete spectrum [20].…”

Section: Chromatic Dispersion Compensationmentioning

confidence: 99%

Anatomy of a Digital Coherent Receiver

Borkowski

Zibar

Monroy

2014

IEICE Trans. Commun.

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SUMMARYDigital coherent receivers have gained significant attention in the last decade. The reason for this is that coherent detection, along with digital signal processing (DSP) allows for substantial increase of the channel capacity by employing advanced detection techniques. In this paper, we first review coherent detection technique employed in the receiver as well as the required receiver structure. Subsequently, we describe the core part of the receiver -DSP algorithms -that are used for data processing. We cover all basic elements of a conventional coherent receiver DSP chain: deskew, orthonormaliation, chromatic dispersion compensation/nonlinear compensation, resampling and timing recovery, polarization demultiplexing and equalization, frequency and phase recovery, digital demodulation. We also describe novel subsystems of a digital coherent receiver: modulation format recognition and impairment mitigation via expectation maximization, which may gain popularity with increasing importance of autonomous networks.

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“…By analyzing the impulse response of the adaptive equalizer, it is possible to quickly capture the CD information at a range of 0-1500 ps/nm depending on the number of taps [4]. Other CD estimation methods usually rely on either tentative CD compensation or tentative cost function calculations by scanning the CD over a specific range [5][6][7][8][9]. In the presence of a large amount of residual CD exceeding 10 4 ps/nm, hundred thousands of samples may be required to cover the CD scanning range.…”

Section: Introductionmentioning

confidence: 99%

Fast and robust chromatic dispersion estimation based on temporal auto-correlation after digital spectrum superposition

Yao

Eriksson

et al. 2015

Opt. Express

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We investigate and experimentally demonstrate a fast and robust chromatic dispersion (CD) estimation method based on temporal auto-correlation after digital spectrum superposition. The estimation process is fast, because neither tentative CD scanning based on CD compensation nor specific cost function calculations are used. Meanwhile, the proposed CD estimation method is robust against polarization mode dispersion (PMD), amplified spontaneous emission (ASE) noise and fiber nonlinearity. Furthermore, the proposed CD estimation method can be used for various modulation formats and digital pulse shaping technique. Only 4096 samples are necessary for CD estimation of single carrier either 112 Gbps DP-QPSK or 224 Gbps DP-16QAM signal with various pulse shapes. 8192 samples are sufficient for the root-raised-cosine pulse with roll-off factor of 0.1. As low as 50 ps/nm standard deviation together with a worst estimation error of about 160 ps/nm is experimentally obtained for 7×112 Gbps DP-QPSK WDM signal after the transmission through 480 km to 9120 km single mode fiber (SMF) loop using different launch powers.

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Hardware-Efficient Chromatic Dispersion Estimator based on Parallel Gardner Timing Error Detector

Cited by 11 publications

References 3 publications

Traffic Allocation Strategies in WSS-Based Dynamic Optical Networks

Traffic Allocation Strategies in WSS-Based Dynamic Optical Networks

Anatomy of a Digital Coherent Receiver

Fast and robust chromatic dispersion estimation based on temporal auto-correlation after digital spectrum superposition

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