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相关论文: Accumulation of cross-channel non-linear interfere…

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We provide new single-integral formulas of the power spectral density of single-channel and cross-channel nonlinear interference in highly-dispersed coherent optical links for which the Gaussian Noise model [1], [2] applies.

光学 · 物理学 2013-09-03 Alberto Bononi , Ottma Beucher

We develop and present a generalization of the GN-model - the generalized Gaussian noise (GGN) model - to enabling a fair application of GN-model to predict generation of nonlinear interference when loss parameters relevantly vary with…

光学 · 物理学 2018-06-25 Mattia Cantono , Dario Pilori , Alessio Ferrari , Vittorio Curri

A low-complexity model for signal quality prediction in a nonlinear fiber-optical network is developed. The model, which builds on the Gaussian noise model, takes into account the signal degradation caused by a combination of chromatic…

光学 · 物理学 2015-01-07 Pontus Johannisson , Erik Agrell

A distributed inference scheme which uses bounded transmission functions over a Gaussian multiple access channel is considered. When the sensor measurements are decreasingly reliable as a function of the sensor index, the conditions on the…

分布式、并行与集群计算 · 计算机科学 2015-06-16 Sivaraman Dasarathan , Cihan Tepedelenlioglu

We present a novel closed-form model for nonlinear interference (NLI) estimation in low-dispersion O-band transmission systems. The formulation incorporates the four-wave mixing (FWM) efficiency term as well as the coherent contributions of…

The GN-model has been proposed as an approximate but sufficiently accurate tool for predicting uncompensated optical coherent transmission system performance, in realistic scenarios. For this specific use, the GN-model has enjoyed…

光学 · 物理学 2014-06-09 A. Carena , G. Bosco , V. Curri , Y. Jiang , P. Poggiolini , F. Forghieri

This work considers distributed sensing and transmission of sporadic random samples. Lower bounds are derived for the reconstruction error of a single normally or uniformly-distributed finite-dimensional vector imperfectly measured by a…

信息论 · 计算机科学 2015-11-20 Ayşe Ünsal , Raymond Knopp

A Gaussian noise (GN) model is presented that properly accounts for an arbitrary frequency dependent signal power profile along the link. This enables the evaluation of the impact of inter-channel stimulated Raman scattering (ISRS) on the…

信号处理 · 电气工程与系统科学 2018-07-04 Daniel Semrau , Polina Bayvel

Mixed noise, composed of white Gaussian noise (WGN) and impulsive noise (IN), appears in numerous communication scenarios and can severely degrade system performance. In this paper, we optimize the transmitted constellation under mixed…

信号处理 · 电气工程与系统科学 2025-09-09 Tianfu Qi , Jun Wang

Through a physical layer simulation study we highlight that the coherent accumulation of nonlinear interference becomes non-negligible for optical networks operating within high symbol rate transmission scenarios. This initiates a…

信号处理 · 电气工程与系统科学 2020-12-04 Elliot London , Emanuele Virgillito , Andrea D'Amico , Antonio Napoli , Vittorio Curri

This paper proposes a novel joint channel-estimation and source-detection algorithm using successive interference cancellation (SIC)-aided generative score-based diffusion models. Prior work in this area focuses on massive MIMO scenarios,…

计算机视觉与模式识别 · 计算机科学 2025-01-22 Sagnik Bhattacharya , Muhammad Ahmed Mohsin , Kamyar Rajabalifardi , John M. Cioffi

Channel uncertainty and co-channel interference are two major challenges in the design of wireless systems such as future generation cellular networks. This paper studies receiver design for a wireless channel model with both time-varying…

信息论 · 计算机科学 2009-10-15 Yan Zhu , Dongning Guo , Michael L. Honig

This paper studies the two-user Causal Cognitive Interference Channel (CCIC), where two transmitters aim to communicate independent messages to two different receivers via a common channel. One source, referred to as the cognitive, is…

信息论 · 计算机科学 2016-11-15 Martina Cardone , Daniela Tuninetti , Raymond Knopp

In this paper, a closed form formula for nonlinearity modeling in modern coherent fiber optic communication systems is derived based on the incoherent GN model. The model covers multi-channel interference (MCI). The effectiveness of the…

信号处理 · 电气工程与系统科学 2019-11-11 Mahdi Ranjbar Zefreh , Pierluigi Poggiolini

Channel state information (CSI) in the interference channel can be used to precode, align, and reduce the dimension of interference at the receivers, to achieve the channel's maximum multiplexing gain, through what is known as interference…

信息论 · 计算机科学 2015-06-03 Omar El Ayach , Robert W. Heath

We consider a model nondispersive nonlinear optical fiber channel with additive white Gaussian noise at large $\mathrm{SNR}$ (signal-to-noise ratio) in the intermediate power region. Using Feynman path-integral technique we for the first…

信息论 · 计算机科学 2016-05-06 I. S. Terekhov , A. V. Reznichenko , Ya. A. Kharkov , S. K. Turitsyn

Interference alignment is a key technique for communication scenarios with multiple interfering links. In several such scenarios, interference alignment was used to characterize the degrees-of-freedom of the channel. However, these…

信息论 · 计算机科学 2015-03-19 Urs Niesen , Mohammad Maddah-Ali

The channel capacity of a nonlinear, dispersive fiber-optic link is revisited. To this end, the popular Gaussian noise (GN) model is extended with a parameter to account for the finite memory of realistic fiber channels. This finite-memory…

信息论 · 计算机科学 2015-01-07 Erik Agrell , Alex Alvarado , Giuseppe Durisi , Magnus Karlsson

In this paper we report on the details of the derivation of approximate closed-form results related to the coherence effect in non-linear noise accumulation, in the context of the GN-model of fiber non-linearity. The coherence effect is…

信号处理 · 电气工程与系统科学 2020-03-10 Pierluigi Poggiolini

We rederive from first principles and generalize the theoretical framework of the nonlinear Gaussian noise model to the case of coherent optical systems with multiple fiber types per span and ideal Nyquist spectra. We focus on the accurate…

信号处理 · 电气工程与系统科学 2020-09-15 I. Roudas , J. Kwapisz , X. Jiang
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