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
Showing 2020Show all

11 papers · 1 filter

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…