Single channel 112Gbit/sec PAM4 at 56Gbaud with digital signal processing for data centers applications

Sadot, Dan; Dorman, G.; Gorshtein, Alik; Sonkin, Eduard; Vidal, Or

doi:10.1364/ofc.2015.th2a.67

Cited by 11 publications

(3 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It was assumed that optimal automatic-gain-control (AGC) was implemented so that there is a full span use of the ADC dynamic range and no signal clipping. To combat ISI, a 16-tap feed-forward-equalizer and MLSE based detector were implemented, containing 256 states, similar to [2]. In this example, increasing the number of taps further, or conversely adding states to the MLSE, does not improve the performance significantly.…”

Section: Simulation Methodologymentioning

confidence: 99%

“…This follows by a symbol detector, which may be operating on a symbol by symbol basis, or on sequence of data [2].…”

Section: Data Centers Optical Links and System Modelmentioning

confidence: 99%

“…Although cost effective, the limited bandwidth components and other physical limitations such as chromatic dispersion introduce severe inter-symbol-interference (ISI). Hence, increasing transmission rates usually requires incorporation of advanced DSP functionalities [2], [3].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

DSP-Enhanced Analog-to-Digital Conversion for High-Speed Data Centers' Optical Connectivities

Yoffe

Sadot

2015

IEEE Photonics J.

Self Cite

View full text Add to dashboard Cite

As data centers evolve to sustain the economic scale in network traffic, optical interconnections are adapted to support the vast amount of capacity requirements. Among emerging solutions is the incorporation of digital-signal-processing (DSP) functionalities at the receiver to compensate for the optical fiber and optoelectronic components impairments. The bottleneck in such architecture is often implementing a high-resolution and high-speed analog-to-digital-converter (ADC) device, which usually leads to massive power consumption and high costs. In this paper, we propose novel transmission schemes based on low-resolution ADCs, termed DSP-enhanced analog-todigital conversion. The proposed methods are based on the mathematical principle of predictive quantization, combined with linear equalization theory. Mathematical analysis and performance bounds associated with common channel impairments are derived. Simulation results demonstrate that the DSP-enhanced ADC provides a significant signal-to-noise-ratio (SNR) gain and, subsequently, may enable heavy digital compensation with reduced-resolution ADCs.Index Terms: Fiber-optic communications analog-to-digital conversion (ADC), quantization, bit error rate (BER), differential pulse code modulation, inter-symbol interference (ISI), linear equalization.

show abstract

Section: Simulation Methodologymentioning

confidence: 99%

“…This follows by a symbol detector, which may be operating on a symbol by symbol basis, or on sequence of data [2].…”

Section: Data Centers Optical Links and System Modelmentioning

confidence: 99%

See 1 more Smart Citation

DSP-Enhanced Analog-to-Digital Conversion for High-Speed Data Centers' Optical Connectivities

Yoffe

Sadot

2015

IEEE Photonics J.

Self Cite

View full text Add to dashboard Cite

show abstract

Demonstration of C-band 112G PAM-4 transmission over 80-km stand-single mode fiber based on direct-detection

Wei

Shi

et al. 2018

Optics Communications

View full text Add to dashboard Cite

PAM-4 Transmission at 1550 nm Using Photonic Reservoir Computing Post-Processing

2019

View full text Add to dashboard Cite

The efficacy of data decoding in contemporary ultrafast fiber transmission systems is greatly determined by the capabilities of the signal processing tools that are used. The received signal must not exceed a certain level of complexity, beyond which the applied signal processing solutions become insufficient or slow. Moreover, the required signal-to-noise ratio of the received signal can be challenging, especially when adopting modulation formats with multi-level encoding. Lately, photonic reservoir computing (RC) -a hardware machine learning technique with recurrent connectivity -has been proposed as a post-processing tool that deals with deterministic distortions from fiber transmission. Here we show that RC post-processing is remarkably efficient for multilevel encoding and for the use of very high launched optical peak power for fiber transmission up to 14dBm. Higher power levels provide the desired high signal-to-noise ratio (SNR) values at the receiver end, at the expense of a complex nonlinear transformation of the transmission signal. Our demonstration evaluates a direct fiber communication link with 4-level pulse amplitude modulation (PAM-4) encoding and direct detection, without including optical amplification, dispersion compensation, pulse shaping or other digital signal processing (DSP) techniques. By applying RC post-processing on the distorted signal, we numerically estimate fiber transmission distances of 27km at 56Gb/s and of 5.5 km at 112Gb/s data encoding rates, while fulfilling the harddecision forward error correction (HD-FEC) bit-error-rate (BER) limit for data recovery. In an experimental equivalent demonstration of our photonic reservoir, the achieved distances are 21km and 4.6km respectively. he joined the Institute for Cross-Disciplinary Physics and Complex Systems -IFISC (CSIC-UIB) in Spain as a Marie-Skłodowska Curie Fellow. He has participated in 12 research projects, funded by the European Union and the national Greek / Spanish research authorities. He has published more than 80 papers in peer-reviewed journals and conference proceedings, while he is the main author of 3 book chapters. His research interests include nonlinear dynamics in semiconductor lasers, photonic devices and coupled systems, optical communication systems, chaotic encryption, optical sensing and machine learning techniques.

show abstract

Single channel 112Gbit/sec PAM4 at 56Gbaud with digital signal processing for data centers applications

Cited by 11 publications

References 1 publication

DSP-Enhanced Analog-to-Digital Conversion for High-Speed Data Centers' Optical Connectivities

DSP-Enhanced Analog-to-Digital Conversion for High-Speed Data Centers' Optical Connectivities

Demonstration of C-band 112G PAM-4 transmission over 80-km stand-single mode fiber based on direct-detection

PAM-4 Transmission at 1550 nm Using Photonic Reservoir Computing Post-Processing

Contact Info

Product

Resources

About