activity
20172021
most citedAnalysis of Nonlinear Fiber Interactions for Finite-Length Constant-Composition Sequences

49 citations · 93 across the 8 of their papers we have counts for

collaborators

11 papers

cs.NI2021

Black-Box Assessment of Optical Spectrum Services

Kaida Kaeval, Jörg-Peter Elbers, Klaus Grobe +4

A spectral sweep process is introduced to discover performance issues in optical spectrum services. We detect filtering penalty, spectral ripple/tilt and channel crosstalk in field…

cs.NI202118 cited

QoT Assessment of the Optical Spectrum as a Service in Disaggregated Network Scenarios

Kaida Kaeval, Tobias Fehenberger, Jim Zou +6

The potential to operate third-party terminals over multi-domain transparent optical networks attracts operators and customers to implement Optical Spectrum as a Service (OSaaS). A…

eess.SP20201 cited

Fiber Nonlinearity Mitigation by Short-Length Probabilistic Constellation Shaping for Pilot-Aided Signaling

Tobias Fehenberger, Helmut Griesser, Jörg-Peter Elbers

Probabilistic constellation shaping (PCS) offers a significant performance improvement over uniform signaling. It was recently discovered that long blocks are not required to achie…

eess.SP2020

On the Impact of Finite-Length Probabilistic Shaping on Fiber Nonlinear Interference

Tobias Fehenberger

The interplay of shaped signaling and fiber nonlinearities is reviewed in the asymptotic and finite-length regime. We present explanations and discuss implications of an optimum sh…

eess.SP202025 cited

Huffman-coded Sphere Shaping and Distribution Matching Algorithms via Lookup Tables

Tobias Fehenberger, David S. Millar, Toshiaki Koike-Akino +3

In this paper, we study amplitude shaping schemes for the probabilistic amplitude shaping (PAS) framework as well as algorithms for constant-composition distribution matching (CCDM…

eess.SP202049 cited

Analysis of Nonlinear Fiber Interactions for Finite-Length Constant-Composition Sequences

Tobias Fehenberger, David S. Millar, Toshiaki Koike-Akino +3

In order to realize probabilistically shaped signaling within the probabilistic amplitude shaping (PAS) framework, a shaping device outputs sequences that follow a certain nonunifo…