376 citations · 1.2k across the 26 of their papers we have counts for
26 papers
On the Benefits of Rate-Adaptive Transceivers: A Network Planning Study
Jasper Müller, Gabriele Di Rosa, Tobias Fehenberger +4
Flexible-grid Elastic Optical Networks (EONs) have been widely deployed in recent years to support the growing demand for bandwidth-intensive applications. To address this cost-eff…
QoT estimation using EGN-assisted machine learning for multi-period network planning
Jasper Müller, Sai Kireet Patri, Tobias Fehenberger +3
The rapidly growing traffic demands in fiber-optical networks require flexibility and accuracy in configuring lightpaths, for which fast and accurate quality of transmission (QoT)…
Multi-Wavelength Transponders for High-capacity Optical Networks: A Physical-layer-aware Network Planning Study
Jasper Müller, Ognjen Jovanovic, Tobias Fehenberger +3
Continued cost- and power-efficient capacity scaling in optical networks is imperative to keep pace with ever-increasing traffic demands. In this paper, we investigate multi-wavele…
Comparison of Single-Wavelength and Multi-Wavelength Transponders in a Physical-layer-aware Network Planning Study
Jasper Müller, Ognjen Jovanovic, Carmen Mas-Machuca +3
Based on suitable system architectures and realistic specifications, transmit OSNR penalties and spectral constraints of multi-wavelength transponders are identified and analyzed i…
Experimental Demonstration of ML-Based DWDM System Margin Estimation
Jasper Müller, Frank Slyne, Kaida Kaeval +6
SNR margins between partially and fully loaded DWDM systems are estimated without detailed knowledge of the network. The ML model, trained on simulation data, achieves accurate pre…
A QoT Estimation Method using EGN-assisted Machine Learning for Network Planning Applications
Jasper Müller, Sai Kireet Patri, Tobias Fehenberger +3
An ML model based on precomputed per-channel SCI is proposed. Due to its superior accuracy over closed-form GN, an average SNR gain of 1.1 dB in an end-to-end link optimization and…
Estimating Quality of Transmission in a Live Production Network using Machine Learning
Jasper Müller, Tobias Fehenberger, Sai Kireet Patri +4
We demonstrate QoT estimation in a live network utilizing neural networks trained on synthetic data spanning a large parameter space. The ML-model predicts the measured lightpath p…
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…
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…
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…
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…
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…
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…
Mitigating Fiber Nonlinearities by Short-length Probabilistic Shaping
Tobias Fehenberger, Helmut Griesser, Jörg-Peter Elbers
We show that short-length probabilistic shaping reduces nonlinear interference in optical fiber transmission. SNR improvements of up to 0.8 dB are obtained. The shaping gain vanish…
Probabilistic Shaping for Finite Blocklengths: Distribution Matching and Sphere Shaping
Yunus Can Gültekin, Tobias Fehenberger, Alex Alvarado +1
In this paper, we provide for the first time a systematic comparison of distribution matching (DM) and sphere shaping (SpSh) algorithms for short blocklength probabilistic amplitud…
Analysis and Optimisation of Distribution Matching for the Nonlinear Fibre Channel
Tobias Fehenberger, Alex Alvarado
Enhanced Gaussian noise models are used to demonstrate that the per-block SNR after fibre transmission varies significantly due to the variable-composition nature of modern probabi…
Parallel-Amplitude Architecture and Subset Ranking for Fast Distribution Matching
Tobias Fehenberger, David S. Millar, Toshiaki Koike-Akino +2
A distribution matcher (DM) maps a binary input sequence into a block of nonuniformly distributed symbols. To facilitate the implementation of shaped signaling, fast DM solutions w…
Multiset-Partition Distribution Matching
Tobias Fehenberger, David S. Millar, Toshiaki Koike-Akino +2
Distribution matching is a fixed-length invertible mapping from a uniformly distributed bit sequence to shaped amplitudes and plays an important role in the probabilistic amplitude…
Achievable Information Rates for Fiber Optics: Applications and Computations
Alex Alvarado, Tobias Fehenberger, Bin Chen +1
In this paper, achievable information rates (AIR) for fiber optical communications are discussed. It is shown that AIRs such as the mutual information and generalized mutual inform…
Experimental Comparison of Probabilistic Shaping Methods for Unrepeated Fiber Transmission
Julian Renner, Tobias Fehenberger, Metodi P. Yankov +4
This paper studies the impact of probabilistic shaping on effective signal-to-noise ratios (SNRs) and achievable information rates (AIRs) in a back-to-back configuration and in unr…
On Probabilistic Shaping of Quadrature Amplitude Modulation for the Nonlinear Fiber Channel
Tobias Fehenberger, Alex Alvarado, Georg Böcherer +1
Different aspects of probabilistic shaping for a multi-span optical communication system are studied. First, a numerical analysis of the additive white Gaussian noise (AWGN) channe…
Impact of 4D channel distribution on the achievable rates in coherent optical communication experiments
Tobias A. Eriksson, Tobias Fehenberger, Peter A. Andrekson +3
We experimentally investigate mutual information and generalized mutual information for coherent optical transmission systems. The impact of the assumed channel distribution on the…
Sensitivity Gains by Mismatched Probabilistic Shaping for Optical Communication Systems
Tobias Fehenberger, Domaniç Lavery, Robert Maher +3
Probabilistic shaping of quadrature amplitude modulation (QAM) is used to enhance the sensitivity of an optical communication system. Sensitivity gains of 0.43 dB and 0.8 dB are de…
LDPC Coded Modulation with Probabilistic Shaping for Optical Fiber Systems
Tobias Fehenberger, Georg Böcherer, Alex Alvarado +1
An LDPC coded modulation scheme with probabilistic shaping, optimized interleavers and noniterative demapping is proposed. Full-field simulations show an increase in transmission d…