135 citations · 608 across the 39 of their papers we have counts for
24 papers · 1 filter
Convolutional Neural Networks for Reflective Event Detection and Characterization in Fiber Optical Links Given Noisy OTDR Signals
Khouloud Abdelli, Helmut Griesser, Stephan Pachnicke
Fast and accurate fault detection and localization in fiber optic cables is extremely important to ensure the optical network survivability and reliability. Hence there exists a cr…
Lifetime Prediction of 1550 nm DFB Laser using Machine learning Techniques
Khouloud Abdelli, Danish Rafique, Helmut Griesser +1
A novel approach based on an artificial neural network (ANN) for lifetime prediction of 1.55 um InGaAsP MQW-DFB laser diodes is presented. It outperforms the conventional lifetime…
Optical Fiber Fault Detection and Localization in a Noisy OTDR Trace Based on Denoising Convolutional Autoencoder and Bidirectional Long Short-Term Memory
Khouloud Abdelli, Helmut Griesser, Carsten Tropschug +1
Optical time-domain reflectometry (OTDR) has been widely used for characterizing fiber optical links and for detecting and locating fiber faults. OTDR traces are prone to be distor…
A Hybrid CNN-LSTM Approach for Laser Remaining Useful Life Prediction
Khouloud Abdelli, Helmut Griesser, Stephan Pachnicke
A hybrid prognostic model based on convolutional neural networks (CNN) and long short-term memory (LSTM) is proposed to predict the laser remaining useful life (RUL). The experimen…
Federated Learning Approach for Lifetime Prediction of Semiconductor Lasers
Khouloud Abdelli, Helmut Griesser, Stephan Pachnicke
A new privacy-preserving federated learning framework allowing laser manufacturers to collaboratively build a robust ML-based laser lifetime prediction model, is proposed. It achie…
Machine Learning based Data Driven Diagnostic and Prognostic Approach for Laser Reliability Enhancement
Khouloud Abdelli, Helmut Griesser, Stephan Pachnicke
In this paper, a data-driven diagnostic and prognostic approach based on machine learning is proposed to detect laser failure modes and to predict the remaining useful life (RUL) o…
Gated Recurrent Unit based Autoencoder for Optical Link Fault Diagnosis in Passive Optical Networks
Khouloud Abdelli, Florian Azendorf, Helmut Griesser +2
We propose a deep learning approach based on an autoencoder for identifying and localizing fiber faults in passive optical networks. The experimental results show that the proposed…
A BiLSTM-CNN based Multitask Learning Approach for Fiber Fault Diagnosis
Khouloud Abdelli, Helmut Griesser, Carsten Tropschug +1
A novel multitask learning approach based on stacked bidirectional long short-term memory (BiLSTM) networks and convolutional neural networks (CNN) for detecting, locating, charact…
Channel Performance Estimations with Extended Channel Probing
Kaida Kaeval, Helmut Griesser, Klaus Grobe +3
We test the concept of extended channel probing in an Optical Spectrum as a Service scenario in coherent optimized flex-grid long-haul and 10Gbit/s OOK optimized 100-GHz fixed-grid…
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…
56 Gb/s DMT Transmission with VCSELs in 1.5 um Wavelength Range over up to 12 km for DWDM Intra-Data Center Connects
Annika Dochhan, Nicklas Eiselt, Robert Hohenleitner +7
We demonstrate up to 12 km, 56 Gb/s DMT transmission using high-speed VCSELs in the 1.5 um wavelength range for future 400Gb/s intra-data center connects, enabled by vestigial side…
Solutions for 400 Gbit/s Inter Data Center WDM Transmission
Annika Dochhan, Nicklas Eiselt, Helmut Grießer +4
We review some currently discussed solutions for 400 Gbit/s inter-data center WDM transmission for up to 100 km. We focus on direct detected solutions, namely PAM4 and DMT, and pre…
Optimizing Discrete Multi-tone Transmission for 400G Data Center Interconnects
Annika Dochhan, Helmut Griesser, Nicklas Eiselt +2
Discrete multi-tone transmission (DMT) is a promising candidate for future 400G data center interconnects. Eight channels, each carrying 56 Gb/s of data can be combined in a 50-GHz…
Practical Solutions for 400 Gbit/s Data Center Transmission
Annika Dochhan, Nicklas Eiselt, Jinlong Wei +5
We review three solutions for low-cost data center interconnects with a target reach of up to 80 km. Directly detected DMT, PAM-4 and multi-band CAP are promising modulation scheme…
Solutions for 80 km DWDM Systems
Annika Dochhan, Helmut Griesser, Michael Eiselt +1
We review currently discussed solutions for 80 km DWDM transmission targeting inter data-center connections at 100G and 400G line rates. PDM-64QAM, PAM4 and DMT are investigated, w…
A 3-Dimensional Simplex Modulation Format with Improved OSNR Performance Compared to DP-BPSK
Annika Dochhan, Helmut Grießer, Brian Teipen +1
The novel 3-dimensional modulation format 3D-Simplex offers potentially 1.2 dB higher OSNR tolerance than DP-DPSK while exhibiting the same spectral occupancy, modulating two bits…
Experimental Investigation of Discrete Multitone Transmission in the Presence of Optical Noise and Chromatic Dispersion
Annika Dochhan, Laia Nadal, Helmut Griesser +3
Enabled by channel adaptive bit and power loading, we experimentally demonstrate discrete multitone transmission at 56Gb/s with simple intensity modulation and direct detection and…
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…
Real-time 112 Gbit/s DMT for Data Center Interconnects
Annika Dochhan, Nicklas Eiselt, Jim Zou +3
We report on 112 Gbit/s real-time DMT transmission over up to 60 km, targeted at DCI applications. Chromatic dispersion mitigation by vestigial sideband filtering is compared to th…
Real-time discrete multi-tone transmission for passive optical networks in C- and O-band
Annika Dochhan, Tomislav Drenski, Helmut Griesser +2
DMT at 25 Gbit/s, 50 Gbit/s and 100 Gbit/s in passive systems with electro-absorption modulators is investigated. Transmission in C- and O-band are compared, yielding up to 22 km r…
First Experimental Demonstration of a 3-Dimensional Simplex Modulation Format Showing Improved OSNR Performance Compared to DP-BPSK
Annika Dochhan, Helmut Griesser, Michael Eiselt
We experimentally demonstrate a novel 3-dimensional modulation format with 1.2-dB OSNR tolerance improvement potential compared to DP-BPSK, as verified for the linear case. The non…
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…
Performance Comparison of 112 Gb/s DMT, Nyquist PAM4 and Partial-Response PAM4 for Future 5G Ethernet-based Fronthaul Architecture
Nicklas Eiselt, Daniel Muench, Annika Dochhan +5
For a future 5G Ethernet-based fronthaul architecture, 100G trunk lines of a transmission distance up to 10 km standard single mode fiber (SSMF) in combination with cheap grey opti…