activity
20202022
most citedIntroducing 4D Geometric Shell Shaping for Mitigating Nonlinear Interference Noise

15 citations · 36 across the 9 of their papers we have counts for

collaborators

9 papers

cs.IT2022★ 2 cited

On Optimum Enumerative Sphere Shaping Blocklength at Different Symbol Rates for the Nonlinear Fiber Channel

Yunus Can Gültekin, Olga Vassilieva, Inwoong Kim +3

We show that a 0.9 dB SNR improvement can be obtained via short-blocklength enumerative sphere shaping for single-span transmission at 56 GBd. This gain vanishes for higher symbol…

eess.SP2022

4D Geometric Shell Shaping with Applications to 400ZR

Sebastiaan Goossens, Yunus Can Gültekin, Olga Vassilieva +4

Geometric shell shaping is introduced and evaluated for reach increase and nonlinearity tolerance in terms of MI against PM-16QAM and PS-PM-16QAM in a 400ZR compatible transmission…

eess.SP2022★ 15 cited

Introducing 4D Geometric Shell Shaping for Mitigating Nonlinear Interference Noise

Sebastiaan Goossens, Yunus Can Gültekin, Olga Vassilieva +4

Four dimensional geometric shell shaping (4D-GSS) is introduced as an approach for closing the nonlinearity-caused shaping gap. This format is designed at the spectral efficiency o…

eess.SP2022★ 5 cited

Mitigating Nonlinear Interference by Limiting Energy Variations in Sphere Shaping

Yunus Can Gültekin, Alex Alvarado, Olga Vassilieva +4

Band-trellis enumerative sphere shaping is proposed to decrease the energy variations in channel input sequences. Against sphere shaping, 0.74 dB SNR gain and up to 9% increase in…

eess.SP2021★ 11 cited

High-Cardinality Hybrid Shaping for 4D Modulation Formats in Optical Communications Optimized via End-to-End Learning

Vinícius Oliari, Boris Karanov, Sebastiaan Goossens +6

In this paper we carry out a joint optimization of probabilistic (PS) and geometric shaping (GS) for four-dimensional (4D) modulation formats in long-haul coherent wavelength divis…

cs.IT2021★ 1 cited

On Kurtosis-limited Enumerative Sphere Shaping for Reach Increase in Single-span Systems

Yunus Can Gültekin, Alex Alvarado, Olga Vassilieva +4

The effect of decreasing the kurtosis of channel inputs is investigated for the first time with an algorithmic shaping implementation. No significant gains in decoding performance…

eess.SP2021★ 2 cited

Kurtosis-limited Sphere Shaping for Nonlinear Interference Noise Reduction in Optical Channels

Yunus Can Gültekin, Alex Alvarado, Olga Vassilieva +4

Nonlinear interference (NLI) generated during the propagation of an optical waveform through the fiber depends on the fourth order standardized moment of the channel input distribu…

cs.CV2020

CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles

Jingda Guo, Dominic Carrillo, Sihai Tang +6

To reduce the amount of transmitted data, feature map based fusion is recently proposed as a practical solution to cooperative 3D object detection by autonomous vehicles. The preci…

eess.SY2020

Performance Analysis of RSU-based Multihomed Multilane Vehicular Networks

Saadallah Kassir, Pablo Caballero, Gustavo de Veciana +3

Motivated by the potentially high downlink traffic demands of commuters in future autonomous vehicles, we study a network architecture where vehicles use Vehicle-to-Vehicle (V2V) l…