ISI-aware equalization using branched-CNN architecture for high
Short-reach optical communication systems using 4-level pulse amplitude modulation (PAM4) and intensity modulation/direct detection (IM/DD) technology experience significant inter
Short-reach optical communication systems using 4-level pulse amplitude modulation (PAM4) and intensity modulation/direct detection (IM/DD) technology experience significant inter
Abstract: We present a summary of the equalization of polarization effects using Kalman filter in coherent optical fiber communication system. We give an explanation why and how to describe
Apart from equalization, other topics from digital communication theory have found their way into optical transmission. Among them are channel coding, orthogonal frequency division
They refer to the equalization settings applied to the received signal (RX) and transmitted signal (TX) in optical transceivers. These settings are essential for optimizing signal integrity and minimizing bit
The temporal spreading of light pulses in an optical fiber can impose a limit on the highest data rate transmitted by a fiber optic communication system. Such spreading arises from differential mode
Low Complexity Convolutional Neural Networks for Equalization in Optical Fiber T ransmission Mohannad Abu-romoh (1∗, Nelson Costa(2, Antonio
This work proposes an efficient and easy-to-implement single-layer artificial neural network (ANN)-based equalizer with improved compensation
In the next section, we describe how LDPC-coded turbo equalization can be used to simultaneously compensate for both linear and nonlinear channel impairments in fiber-optic
The proposed equalizer is used for effectively mitigating the distortions induced in the short-haul fiber-optic communication systems based on
1. Introduction Distortions caused by the Kerr nonlinearity limit the achievable information rates (AIRs) at high powers in optical fiber communication. Mitigation of these distortions is possible using, e.g.,
Introduction Conventional linear feed forward equalizers (FFEs) are widely used in fiber optic communication systems to mitigate inter-symbol interference resulting from a limited bandwidth of
In this paper we give an overview of equalization technologies for adaptive compensation of dynamic distortions in high-bitrate optical transmission systems. In particular we focus on electrical
We then explore the design aspects of optical fiber transmitters, as well as the modulation formats employed for optical fiber transmission. Furthermore, we examine the essential components of
Enhanced Performance of Artificial-Neural-Network-Based Equalization for Short-Haul Fiber-Optic Communications
The proposed equalizer is used for effectively mitigating the distortions induced in the short-haul fiber-optic communication systems based on intensity modulation and direct detection
Abstract: We demonstrate a low latency fiber channel distortion equalizer that implements mainly of the equalization calculations in the optical domain, based on an integrated photonic reservoir computing
In a high-speed, long-haul, fiber-optic communication system, fiber dispersion can cause serious performance degradations. Here, we describe an optical equalizer consisting of a reflective cavity
This work proposes an efficient and easy-to-implement single-layer artificial neural network (ANN)-based equalizer with improved compensation performance. The proposed equalizer is used for effectively
We demonstrate a low latency fiber channel distortion equalizer that implements mainly of the equalization calculations in the optical domain, based on an integ
Turbo Equalization in Fiber-Optics Communication Systems In order to adapt to the ever-increasing demands of telecommunication needs, network operators already consider 100 Gb/s per dense
Fiber-optic transmission systems are studied where linear distortions due to chromatic dispersion are dominant. We give an overview on the theoretical
Optical communication systems, especially short-distance optical interconnection systems, are very sensitive to energy consumption. So we also analyze the computational
Fiber-optic transmission systems are studied where linear distortions due to chromatic dispersion are dominant. We give an overview on the theoretical performance of linear equalization
CNN equalizer with parameter sharing and the corresponding SSFM with M = 2 steps per span. Since the linear and nonlinear operations of SSFM (i.e. Am and σ in Fig.2, respectively) are repeated in
This repository contains a Deep Learning-based approach for equalization in fiber-optic communication systems. - Equalization-in-Fiber-Optic-Communication-using-Neural-Networks/project_guide.pdf at
This work proposes an efficient and easy-to-implement single-layer artificial neural network (ANN)-based equalizer with improved compensation performance. The proposed equalizer
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