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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…

Signal Processing · Electrical Eng. & Systems 2020-12-04 Elliot London , Emanuele Virgillito , Andrea D'Amico , Antonio Napoli , Vittorio Curri

In the physical layer (PHY) of modern cellular systems, information is transmitted as a sequence of resource blocks (RBs) across various domains with each resource block limited to a certain time and frequency duration. In the PHY of 4G/5G…

Signal Processing · Electrical Eng. & Systems 2024-09-05 Karim A. Said , A. A. , Beex , Elizabeth Bentley , Lingjia Liu

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

Signal Processing · Electrical Eng. & Systems 2022-10-18 H. Buglia , M. Jarmolovicius , A. Vasylchenkova , E. Sillekens , R. I. Killey , P. Bayvel , L. Galdino

As a means to control wireless propagation environments, the use of emerging and novel intelligent reflecting surfaces (IRS) is envisioned to enhance and broaden many applications in future wireless networks. This paper is concerned with a…

Signal Processing · Electrical Eng. & Systems 2020-03-23 Dian-Wu Yue , Ha H. Nguyen , Yu Sun

Through a series of extensive system simulations we show that all of the previously not understood discrepancies between the Gaussian noise (GN) model and simulations can be attributed to the omission of an important, recently reported,…

Optics · Physics 2015-06-17 Ronen Dar , Meir Feder , Antonio Mecozzi , Mark Shtaif

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…

Signal Processing · Electrical Eng. & Systems 2020-03-10 Pierluigi Poggiolini

We propose symmetric power transformation to enhance the capacity of Implicit Neural Representation~(INR) from the perspective of data transformation. Unlike prior work utilizing random permutation or index rearrangement, our method…

Computer Vision and Pattern Recognition · Computer Science 2025-04-03 Weixiang Zhang , Shuzhao Xie , Chengwei Ren , Shijia Ge , Mingzi Wang , Zhi Wang

The exponential growth in the rate at which information can be communicated through an optical fiber is a key element in the so called information revolution. However, like all exponential growth laws, there are physical limits to be…

Data Analysis, Statistics and Probability · Physics 2007-05-23 Partha P. Mitra , Jason B. Stark

We propose an analytical method to evaluate the equivalent SPM component of the NLI generated by each fiber span, to enabling a fully disaggregated evaluation of the GSNR degradation, as required in network planning.

Systems and Control · Electrical Eng. & Systems 2019-10-24 Andrea D'Amico , Elliot London , Emanuele Virgillito , Antonio Napoli , Vittorio Curri

Using the quantum interference of photon pairs in N-stage nonlinear interferometers (NLI), the contour of joint spectral function can be modified into islands pattern. We perform two series of experiments. One is that all the nonlinear…

Quantum Physics · Physics 2020-10-15 Mingyi Ma , Liang Cui , Xiaoying Li

The spatial resolution of magnetic resonance imaging (MRI) is fundamentally limited by the width of Lorentzian point spread functions (PSF) associated with the exponential decay rate of transverse magnetization (1/T2*). Here we show a…

Rayleigh scattering generates intensity noise close to an optical carrier that propagates in a single-mode optical fiber. This noise degrades the performance of optoelectronic oscillators and RF-photonic links. When using a broad linewidth…

Stacked intelligent surfaces (SIS) are a promising technology for next-generation wireless systems, offering an opportunity to enhance communication performance with low power consumption. Typically, an SIS is modelled as a surface that…

Signal Processing · Electrical Eng. & Systems 2025-10-29 Omran Abbas , Abdullah Zayat , Loıc Markley , Anas Chaaban

The explosion of demand for ultra-high information transmission rates over the last decade has necessitated the usage of increasingly high light intensities for fiber optical transmissions. As a result, the fiber non-linearities need to be…

Information Theory · Computer Science 2012-10-31 Pavlos Kazakopoulos , Aris L. Moustakas

Reflective Intelligent Surfaces (RIS) are considered promising in improving coverage in Non-Line of Sight (NLOS) wireless links, especially at mm wave or higher frequency bands. Coverage provided by RIS is here compared to coverage from…

Signal Processing · Electrical Eng. & Systems 2026-05-07 Dmitry Chizhik , Jinfeng Du

Interface impedes heat flow in heterostructures and the interfacial thermal resistance (ITR) has become a critical issue for thermal dissipation in electronic devices. To explore the mechanism leading to the ITR, in this work, the dynamic…

Applied Physics · Physics 2023-06-28 Quanjie Wang , Jie Zhang , Vladimir Chernysh , Xiangjun Liu

Reconfigurable Intelligent Surface (RIS) can create favorable multipath to establish strong links that are useful in millimeter wave (mmWave) communications. While previous works used Rayleigh or Rician fading, we use the fluctuating…

Information Theory · Computer Science 2020-11-10 Hongyang Du , Jiayi Zhang , Julian Cheng , Zhaohua Lu , Bo Ai

We introduce a machine learning prediction workflow to study the impact of defects on the Raman response of 2D materials. By combining the use of machine-learned interatomic potentials, the Raman-active $\Gamma$-weighted density of states…

Inelastic light (Raman) scattering has been used to study electronic excitations and phonon anomalies in detwinned, slightly overdoped YBa$_2$Cu$_3$O$_{6.95}$ and moderately overdoped Y$_{0.85}$Ca$_{0.15}$Ba$_2$Cu$_3$O$_{6.95}$ single…

Superconductivity · Physics 2015-05-13 M. Bakr , A. P. Schnyder , L. Klam , D. Manske , C. T. Lin , B. Keimer , M. Cardona , C. Ulrich

Implicit neural representation (INR) has become the standard approach for arbitrary-scale image super-resolution (ASSR). To date, no empirical study has systematically examined the effectiveness of existing methods, nor investigated the…

Computer Vision and Pattern Recognition · Computer Science 2026-05-05 Tayyab Nasir , Daochang Liu , Ajmal Mian