A Fully-integrated In-band OSNR Monitor using a Wavelength-tunable Silicon Microring Resonator and Photodiode

Li, Qi; Padmaraju, Kishore; Logan, Dylan F.; Ackert, Jason J.; Knights, Andrew P.; Bergman, Keren

doi:10.1364/ofc.2014.w3e.5

Cited by 7 publications

(3 citation statements)

References 15 publications

(20 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Yating Xiang , 1 Ming Tang , 1 Senior Member, IEEE, Qiong Wu, 1 Huibin Zhou, 1 Bo Yong, 2 Songnian Fu , 1 and Deming Liu 1…”

Section: A Joint Osnr and Nonlinear Distortions Estimation Methods Formentioning

confidence: 99%

“…The transmission systems can function well only within a proper range of OSNRs. Many methods were proposed for in-band OSNR estimation, such as polarization nulling [1], narrow bandwidth filters [2], optical delay interferometer [3], delay-tap sampling [4] and training symbols [5]. However, higher launch power and denser grid allocation introduce considerable nonlinear (NL) distortions into the communication system, such as self-phase modulation (SPM), cross-phase modulation (XPM), and four-wave mixing (FWM).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Joint OSNR and Nonlinear Distortions Estimation Method for Optical Fiber Transmission System

Xiang

Tang

et al. 2018

IEEE Photonics J.

View full text Add to dashboard Cite

In this paper, we propose and demonstrate a joint optical signal-to-noise ratio (OSNR) and a nonlinear distortions estimation method. The OSNR is calculated by considering either the link parameters or the correlation operations of the training symbols. The nonlinear distortions estimation in this calculation comes from different nonlinear sensitivities of these two methods. The indicator of NL penalty is defined as the ratio of nonlinear distortion power to the signal power. As the estimation method, based on link parameters, has low computational complexity, and the training symbol used for the OSNR estimation is inherently indispensable for frame synchronization, this nonlinear distortion estimation method introduces a few complexities and no extra overhead. Experimental results obtained by using a 200 Gb/s 16 QAM DWDM system establish the accuracy of the proposed OSNR estimations method, with errors less than 1 dB. The nonlinear distortions were also measured under different simulation conditions, using a coherent optical OFDM system, and the results are in accordance with the expectations.

show abstract

“…Yating Xiang , 1 Ming Tang , 1 Senior Member, IEEE, Qiong Wu, 1 Huibin Zhou, 1 Bo Yong, 2 Songnian Fu , 1 and Deming Liu 1…”

Section: A Joint Osnr and Nonlinear Distortions Estimation Methods Formentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Joint OSNR and Nonlinear Distortions Estimation Method for Optical Fiber Transmission System

Xiang

Tang

et al. 2018

IEEE Photonics J.

View full text Add to dashboard Cite

show abstract

“…In particular, the optical signal-to-noise ratio (OSNR) monitoring can provide information on the intra-chip signal transmission quality. Intra-chip OSNR measurement has been demonstrated through both discrete [37] and integrated [38][39][40] solutions, but has never been integrated within a switching circuit. However, the most advanced circuits do already contain the essential components.…”

Section: On-chip Distributed Power Monitoringmentioning

confidence: 99%

Towards Large-Scale Fast Reprogrammable SOA-Based Photonic Integrated Switch Circuits

Stabile

2017

Applied Sciences

View full text Add to dashboard Cite

Due to the exponentially increasing connectivity and bandwidth demand from the Internet, the most advanced examples of medium-scale fast reconfigurable photonic integrated switch circuits are offered by research carried out for data-and computer-communication applications, where network flexibility at a high speed and high connectivity are provided to suit network demand. Recently we have prototyped optical switching circuits using monolithic integration technology with up to several hundreds of integrated optical components per chip for high connectivity. In this paper, the current status of fast reconfigurable medium-scale indium phosphide (InP) integrated photonic switch matrices based on the use of semiconductor optical amplifier (SOA) gates is reviewed, focusing on broadband and cross-connecting monolithic implementations, granting a connectivity of up to sixteen input ports, sixteen output ports, and sixty-four channels, respectively. The opportunities for increasing connectivity, enabling nanosecond order reconfigurability, and introducing distributed optical power monitoring at the physical layer are highlighted. Complementary architecture based on resonant switching elements on the same material platform are also discussed for power efficient switching. Performance projections related to the physical layer are presented and strategies for improvements are discussed in view of opening a route towards large-scale power efficient fast reprogrammable photonic integrated switching circuits.

show abstract

On-chip OSNR monitoring system based on power-balanced Mach-Zehnder interferometers

Tian

Huang

Qiu

et al. 2021

Optics & Laser Technology

View full text Add to dashboard Cite

A Fully-integrated In-band OSNR Monitor using a Wavelength-tunable Silicon Microring Resonator and Photodiode

Abstract: Abstract:We demonstrate a novel in-band OSNR monitor with full optical components integration. The OSNR monitor is shown to have a working range of 17 dB for 40-Gb/s OOK and DPSK signals, and is insensitive to chromatic dispersion of 0-250 ps/nm.

Cited by 7 publications

References 15 publications

A Joint OSNR and Nonlinear Distortions Estimation Method for Optical Fiber Transmission System

A Joint OSNR and Nonlinear Distortions Estimation Method for Optical Fiber Transmission System

Towards Large-Scale Fast Reprogrammable SOA-Based Photonic Integrated Switch Circuits

On-chip OSNR monitoring system based on power-balanced Mach-Zehnder interferometers

Contact Info

Product

Resources

About