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We accurately characterize nonlinear phase noise in uncompensated coherent optical systems. We find that, though present, its impact on system performance is typically negligible in a wide range of practical system scenarios.

Optics · Physics 2014-07-08 Y. Jiang , A. Carena , P. Poggiolini , F. Forghieri

The efficiency of digital nonlinearity compensation (NLC) is analyzed in the presence of noise arising from amplified spontaneous emission noise (ASE) as well as from a non-ideal transceiver subsystem. Its impact on signal-to-noise ratio…

Signal Processing · Electrical Eng. & Systems 2018-03-14 Daniel Semrau , Domanic Lavery , Lidia Galdino , Robert I. Killey , Polina Bayvel

Many components used in signal processing and communication applications, such as power amplifiers and analog-to-digital converters, are nonlinear and have a finite dynamic range. The nonlinearity associated with these devices distorts the…

Information Theory · Computer Science 2014-10-29 Kai Ying , Zhenhua Yu , Robert J. Baxley , G. Tong Zhou

The performance of laser-based active sensing has been severely limited by two types of noise: electrical noise, stemming from elements; optical noise, laser jamming from an eavesdropper and background from environment. Conventional methods…

Physical transceivers have hardware impairments that create distortions which degrade the performance of communication systems. The vast majority of technical contributions in the area of relaying neglect hardware impairments and, thus,…

Information Theory · Computer Science 2014-05-02 Emil Björnson , Michail Matthaiou , Mérouane Debbah

Hardware impairments in physical transceivers are known to have a deleterious effect on communication systems; however, very few contributions have investigated their impact on relaying. This paper quantifies the impact of transceiver…

Information Theory · Computer Science 2014-05-02 Michail Matthaiou , Agisilaos Papadogiannis , Emil Björnson , Mérouane Debbah

Millimeter-wave and Terahertz frequencies, while promising high throughput and abundant spectrum, are highly susceptible to hardware non-idealities like phase-noise, which degrade the system performance and make transceiver implementation…

Information Theory · Computer Science 2020-10-28 Vishnu V. Ratnam

Meeting the ever-growing information rate demands has become of utmost importance for optical communication systems. However, it has proven to be a challenging task due to the presence of Kerr effects, which have largely been regarded as a…

Signal Processing · Electrical Eng. & Systems 2017-11-20 Tianhua Xu , Nikita A. Shevchenko , Boris Karanov , Gabriele Liga , Domaniç Lavery , Robert I. Killey , Polina Bayvel

Signal fading due to atmospheric channel impairments and pointing error is a major bottleneck for the performance of optical wireless communication (OWC). In this paper, we consider an amplify-and-forward (AF) optical relaying to enhance…

Signal Processing · Electrical Eng. & Systems 2020-06-15 Tejas Nimish Shah , Ziyaur Rahman , S. M. Zafaruddin

In this letter, signal-to-noise ratio (SNR) performance is analyzed for orthogonal frequency division multiplexing (OFDM) based amplify-and-forward (AF) relay systems in the presence of carrier frequency offset (CFO) for fading channels.…

Information Theory · Computer Science 2017-03-22 Yanxiang Jiang , Yanxing Hu , Xiaohu You

Ising machines based on nonlinear analog systems are a promising method to accelerate computation of NP-hard optimization problems. Yet, their analog nature is also causing amplitude inhomogeneity which can deteriorate the ability to find…

Applied Physics · Physics 2021-07-02 Fabian Böhm , Thomas Van Vaerenbergh , Guy Verschaffelt , Guy Van der Sande

Coherent Optical Orthogonal Frequency Division Multiplexing (CO-OFDM) based Elastic Optical Network (EON) is one of the emerging technologies being considered for next generation high data rate optical network systems. Routing and Spectrum…

Networking and Internet Architecture · Computer Science 2017-09-15 Sadananda Behera , Jithin George , Goutam Das

Recent work has suggested that the generalisation performance of a DNN is related to the extent to which the Signal-to-Noise Ratio is optimised at each of the nodes. In contrast, Gradient Descent methods do not always lead to SNR-optimal…

Machine Learning · Computer Science 2022-07-27 Paul Norridge

A method for in-service OSNR measurement with a coherent transceiver is presented and experimentally verified. A neural network is employed to identify and remove the nonlinear noise contribution to the estimated OSNR.

We investigate the risk of overestimating the performance gain when applying neural network based receivers in systems with pseudo random bit sequences or with limited memory depths, resulting in repeated short patterns. We show that with…

Information Theory · Computer Science 2017-09-29 Tobias A. Eriksson , Henning Bülow , Andreas Leven

Optical fiber transmission systems form the backbone of today's communication networks and will be of high importance for future networks as well. Among the prominent noise effects in optical fiber is phase noise, which is induced by the…

Quantum Physics · Physics 2023-01-18 Zuhra Amiri , Boulat A. Bash , Janis Nötzel

The Least Absolute Shrinkage and Selection Operator (LASSO) has gained attention in a wide class of continuous parametric estimation problems with promising results. It has been a subject of research for more than a decade. Due to the…

Computation · Statistics 2015-04-13 Ashkan Panahi , Mats Viberg

In this work we study the effect of oscillator phase noise on the uplink performance of a massive multiple-input multiple output system. Specifically, we consider an orthogonal frequency division multiplexing-based uplink transmission and…

Information Theory · Computer Science 2014-05-06 Rajet Krishnan , M. Reza Khanzadi , N. Krishnan , A. Graell i Amat , T. Eriksson , N. Mazzali , G. Colavolpe

All analog signal processing is fundamentally subject to noise, and this is also the case in modern implementations of Optical Neural Networks (ONNs). Therefore, to mitigate noise in ONNs, we propose two designs that are constructed from a…

Neural and Evolutionary Computing · Computer Science 2023-08-14 Gianluca Kosmella , Ripalta Stabile , Jaron Sanders

It has been observed that even a small amount of noise introduced into the dataset can significantly degrade the performance of KAN. In this brief note, we aim to quantitatively evaluate the performance when noise is added to the dataset.…

Machine Learning · Computer Science 2024-07-23 Haoran Shen , Chen Zeng , Jiahui Wang , Qiao Wang
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