collaborators

5 papers

eess.SP2025

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…

eess.SP2025

On Error Rate Approximations for FSO Systems with Weak Turbulence and Pointing Errors

Carmen Álvarez Roa, Yunus Can Gültekin, Kaiquan Wu +2

Atmospheric attenuation, atmospheric turbulence, geometric spread, and pointing errors, degrade the performance of free-space optical transmission. In the weak turbulence regime, t…

eess.SP2025

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…

eess.SP2025

On Geometric Shaping for 400 Gbps IM-DD Links with Laser Intensity Noise

Felipe Villenas, Kaiquan Wu, Yunus Can Gültekin +2

We propose geometric shaping for IM-DD links dominated by relative intensity noise (RIN). For 400 Gbps links, our geometrically-shaped constellations result in error probability im…

eess.SP2022

Temporal Properties of Enumerative Shaping: Autocorrelation and Energy Dispersion Index

Yunus Can Gültekin, Kaiquan Wu, Alex Alvarado

We study the effective SNR behavior of various enumerative amplitude shaping algorithms. We show that their relative behavior can be explained via the temporal autocorrelation func…