7 papers
Low-complexity Soft-decision LLR Calculations for Next-generation IM-DD Systems with RIN
Felipe Villenas, Yunus Can Gültekin, Alex Alvarado
The demand for higher speeds in intra-data center interconnects will eventually require high-order pulse amplitude modulation (PAM) combined with soft-decision (SD) forward error c…
Characterizing Nonlinearities in IM-DD Links via the Best Linear Approximation: Distortion Analysis and Modulation Optimization
Sebastian Fraga Fernández, Leonardo Minelli, Fernando de Bernardinis +3
We use the best linear approximation (BLA) to characterize nonlinearities in IM-DD links. The orthogonal nonlinear distortion is shown to be non-Gaussian. The BLA is used to approx…
On LLR Calculations for Soft-decision Decoding in Next-generation IM-DD Systems with Laser RIN
Felipe Villenas, Yunus Can Gültekin, Alex Alvarado
We propose a low-complexity LLR approximation for SD decoding in IM-DD systems with relative intensity noise. Our approximation results in no BER performance penalty for a concaten…
Optical Communications with Relative Intensity Noise: Channel Modeling and Information Rates
Felipe Villenas, Yunus Can Gültekin, Alex Alvarado
We consider optical communications with intensity modulation and direct detection affected by laser relative intensity noise (RIN). Starting from a continuous-time waveform model,…
Beyond 200 Gb/s/lane: An Analytical Approach to Optimal Detection in Shaped IM-DD Optical Links with Relative Intensity Noise
Felipe Villenas, Kaiquan Wu, Yunus Can Gültekin +2
Next-generation intensity-modulation (IM) and direct-detection (DD) systems used in data centers are expected to operate at 400 Gb/s/lane and beyond. Such rates can be achieved by…
A New 5 bit/2D-symbol Modulation Format for Relative Intensity Noise-dominated IM-DD Systems
Felipe Villenas, Kaiquan Wu, Yunus Can Gültekin +2
We propose a novel 5-bit/2D-symbol modulation format based on PAM-6 optimized for IM-DD systems dominated by relative intensity noise. The proposed modulation scheme improves SNR b…