activity
20052024
most citedEnd-to-end Deep Learning of Optical Fiber Communications

429 citations · 2.1k across the 56 of their papers we have counts for

collaborators

56 papers

eess.SP2024★ 18 cited

Optimising O-to-U Band Transmission Using Fast ISRS Gaussian Noise Numerical Integral Model

Mindaugas Jarmolovičius, Daniel Semrau, Henrique Buglia +5

We model the transmission of ultrawideband signals, including wavelength-dependent fibre parameters: dispersion, nonlinear coefficient and effective fibre core area. To that end, t…

eess.SP2023

Throughput Maximisation in Ultra-wideband Hybrid-amplified Links

Henrique Buglia, Eric Sillekens, Lidia Galdino +2

A semi-analytical, real-time nonlinear-interference model including ASE noise in hybrid-amplified links is introduced. Combined with particle-swarm optimisation, the capacity of a…

eess.SP2023

Dual band wireless transmission over 75-150GHz millimeter wave carriers using frequency-locked laser pairs

Zichuan Zhou, Amany Kassem, James Seddon +4

We generate and transmit 75-GHz-bandwidth OFDM signals over the air using three mutually frequency-locked lasers, achieving minimal frequency gap between the wireless W and D bands…

eess.SP2023

A Closed-form Expression for the Gaussian Noise Model in the Presence of Raman Amplification

H. Buglia, M. Jarmolovicius, L. Galdino +2

A closed-form model for the nonlinear interference (NLI) in Raman amplified links is presented, the formula accounts for both forward (FW) and backward (BW) pumping schemes and int…

eess.SP2022

A Closed-form Expression for the ISRS GN Model Supporting Distributed Raman Amplification

H. Buglia, M. Jarmolovicius, A. Vasylchenkova +4

A closed-form model for the nonlinear interference in distributed Raman amplified links is presented, the formula accounts for both forward and backward pumping.

cs.IT2022★ 49 cited

High-Cardinality Geometrical Constellation Shaping for the Nonlinear Fibre Channel

Eric Sillekens, Gabriele Liga, Domaniç Lavery +2

This paper presents design methods for highly efficient optimisation of geometrically shaped constellations to maximise data throughput in optical communications. It describes meth…

cs.NI2020★ 3 cited

On the Relationship Between Network Topology and Throughput in Mesh Optical Networks

Daniel Semrau, Shahzaib Durrani, Georgios Zervas +2

The relationship between topology and network throughput of arbitrarily-connected mesh networks is studied. Taking into account nonlinear channel properties, it is shown that throu…

eess.SP2020★ 4 cited

Experimental Analysis on Variations and Accuracy of Crosstalk in Trench-Assisted Multi-core Fibers

Hui Yuan, Alessandro Ottino, Yunnuo Xu +8

Space division multiplexing using multi-core fiber (MCF) is a promising solution to cope with the capacity crunch in standard single-mode fiber based optical communication systems.…

cs.IT2020★ 38 cited

Geometric Shaping of 2-Dimensional Constellations in the Presence of Laser Phase Noise

Hubert Dzieciol, Gabriele Liga, Eric Sillekens +2

In this paper, we propose a geometric shaping (GS) strategy to design 8, 16, 32 and 64-ary modulation formats for the optical fibre channel impaired by both additive white Gaussian…

eess.SP2020★ 12 cited

Modelling the delayed nonlinear fiber response in coherent optical communications

Daniel Semrau, Eric Sillekens, Robert I. Killey +1

Fiber nonlinearities, that lead to nonlinear signal interference (NLI), are typically regarded as an instantaneous material response with respect to the optical field. However, in…

eess.SP2020

The Benefits of Using the S-Band in Optical Fiber Communications and How to Get There

Daniel Semrau, Eric Sillekens, Robert I. Killey +1

The throughput gains of extending the optical transmission bandwidth to the S+C+L-band are quantified using a Gaussian Noise model that accounts for inter-channel stimulated Raman…

eess.SP2020

Modulation Format Dependent, Closed-Form Formula for Estimating Nonlinear Interference in S+C+L Band Systems

Daniel Semrau, Lidia Galdino, Eric Sillekens +3

A closed-form formula for the nonlinear interference estimation of arbitrary modulation formats in ultra-wideband transmission systems is presented. Enabled by the proposed approac…

eess.SP2020★ 1 cited

Experimental Investigation of Deep Learning for Digital Signal Processing in Short Reach Optical Fiber Communications

Boris Karanov, Mathieu Chagnon, Vahid Aref +4

We investigate methods for experimental performance enhancement of auto-encoders based on a recurrent neural network (RNN) for communication over dispersive nonlinear channels. In…

eess.SP2020★ 8 cited

Optical Fiber Communication Systems Based on End-to-End Deep Learning

Boris Karanov, Mathieu Chagnon, Vahid Aref +3

We investigate end-to-end optimized optical transmission systems based on feedforward or bidirectional recurrent neural networks (BRNN) and deep learning. In particular, we report…

eess.SP2020★ 5 cited

SWIFT: Scalable Ultra-Wideband Sub-Nanosecond Wavelength Switching for Data Centre Networks

Thomas Gerard, Christopher Parsonson, Zacharaya Shabka +3

We propose a time-multiplexed DS-DBR/SOA-gated system to deliver low-power fast tuning across S-/C-/L-bands. Sub-ns switching is demonstrated, supporting 12250 GHz channels…

eess.SP2020★ 11 cited

Packet Timescale Wavelength Switching Enabled by Regression Optimisation

Thomas Gerard, Hubert Dzieciol, Joshua Benjamin +5

A linear regression algorithm is applied to a digital-supermode distributed Bragg reflector laser to optimise wavelength switching times. The algorithm uses the output of a digital…

cs.NI2020★ 60 cited

PULSE: Optical circuit switched Data Center architecture operating at nanosecond timescales

Joshua L. Benjamin, Thomas Gerard, Domaniç Lavery +2

We introduce PULSE, a sub-microsecond optical circuit-switched data centre network architecture controlled by distributed hardware schedulers. PULSE is a flat architecture that use…

eess.SP2019★ 2 cited

Experimental Demonstration of Learned Time-Domain Digital Back-Propagation

Eric Sillekens, Wenting Yi, Daniel Semrau +9

We present the first experimental demonstration of learned time-domain digital back-propagation (DBP), in 64-GBd dual-polarization 64-QAM signal transmission over 1014 km. Performa…

cs.IT2019

Concept and Experimental Demonstration of Optical IM/DD End-to-End System Optimization using a Generative Model

Boris Karanov, Mathieu Chagnon, Vahid Aref +3

We perform an experimental end-to-end transceiver optimization via deep learning using a generative adversarial network to approximate the test-bed channel. Previously, optimizatio…

eess.SP2019★ 1 cited

Capacity increases obtained extending the transmission bandwidth in optical communication systems

Gabriel Saavedra, Daniel Semrau, Polina Bayvel

The potential benefits of extending the optical fibre transmission bandwidth are studied. Even in the presence of Kerr nonlinearity and inter-channel stimulated Raman scattering, i…

cs.IT2019★ 17 cited

Deep Learning for Communication over Dispersive Nonlinear Channels: Performance and Comparison with Classical Digital Signal Processing

Boris Karanov, Gabriele Liga, Vahid Aref +3

In this paper, we apply deep learning for communication over dispersive channels with power detection, as encountered in low-cost optical intensity modulation/direct detection (IM/…

eess.SP2019

Overview and Comparison of Nonlinear Interference Modelling Approaches in Ultra-Wideband Optical Transmission Systems

Daniel Semrau, Robert I. Killey, Polina Bayvel

The recent advances in modelling nonlinear interference of systems operating beyond the C-band are discussed. Estimation accuracy as well as computational complexity of current app…

eess.SP2019

Information Rate in Ultra-Wideband Optical Fiber Communication Systems Accounting for High-Order Dispersion

Nikita A. Shevchenko, Tianhua Xu, Cenqin Jin +3

The effect of Kerr-induced optical fiber nonlinearities in C-band (5 THz) EDFA and C+L-band (12.5 THz) Raman-amplified optical communication systems has been studied considering th…

eess.SP2019★ 82 cited

A Modulation Format Correction Formula for the Gaussian Noise Model in the Presence of Inter-Channel Stimulated Raman Scattering

Daniel Semrau, Eric Sillekens, Robert I. Killey +1

A closed-form formula is derived, which corrects for the modulation format dependence of the Gaussian Noise (GN) model in the presence of inter-channel stimulated Raman scattering…