AI Article Synopsis

  • The self-homodyne coherent detection (SHCD) system is shown to effectively integrate with the Brillouin optical time-domain analyzer (BOTDA), allowing for enhanced transmission capabilities.
  • The use of remote local oscillator light ensures a perfect frequency match for probing and pumping, while a distributed feedback laser boosts the signal quality.
  • Experimental results indicate that a 16-km temperature sensing system can seamlessly coexist with a high-speed 50-Gbaud transmission without compromising performance, achieving impressive spatial resolution and accuracy.

Article Abstract

This Letter demonstrates the high compatibility of the self-homodyne coherent detection (SHCD) transmission system with the Brillouin optical time-domain analyzer (BOTDA). By fully utilizing the remote delivered local oscillator (LO) light of the transmission system, the first, to the best of our knowledge, endogenously integrated BOTDA subsystem is achieved. The remote delivery of the homologous laser source in the SHCD system ensures the frequency match between the probe light and the pump light of the BOTDA. Furthermore, an injection-locked distributed feedback (DFB) laser is employed to amplify the LO and eliminate the impact induced by the Brillouin gain. The experiment demonstrates that a 16-km distributed temperature sensing based on BOTDA can be insensibly emerged into a 50-Gbaud DP-16QAM SHCD transmission system (400 Gbps/λ/core), achieving a spatial resolution of 3 meters and a temperature accuracy of 1°C. Remarkably, the auxiliary sensing module has negligible impact on the transmission.

Download full-text PDF

Source
http://dx.doi.org/10.1364/OL.496968DOI Listing

Publication Analysis

Top Keywords

transmission system
16
self-homodyne coherent
8
coherent detection
8
shcd transmission
8
transmission
5
system
5
endogenous botda
4
botda self-homodyne
4
detection transmission
4
system communication-integrated
4

Similar Publications

Cu-Ni Oxidation Mechanism Unveiled: A Machine Learning-Accelerated First-Principles and TEM Study.

Nano Lett

January 2025

Department of Mechanical Engineering & Materials Science, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, United States.

The development of accurate methods for determining how alloy surfaces spontaneously restructure under reactive and corrosive environments is a key, long-standing, grand challenge in materials science. Using machine learning-accelerated density functional theory and rare-event methods, in conjunction with environmental transmission electron microscopy (ETEM), we examine the interplay between surface reconstructions and preferential segregation tendencies of CuNi(100) surfaces under oxidation conditions. Our modeling approach predicts that oxygen-induced Ni segregation in CuNi alloys favors Cu(100)-O c(2 × 2) reconstruction and destabilizes the Cu(100)-O (2√2 × √2)45° missing row reconstruction (MRR).

View Article and Find Full Text PDF

Pt ( = 1, 3, and 4) Cluster-Modified MoSe Nanosheets: A Potential Sensing and Scavenging Candidate for Lithium-Ion Battery State Characteristic Gases.

Langmuir

January 2025

State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China.

Realizing reliable online detection of characteristic gases (H, CH, CO, and CO) in lithium-ion batteries is crucial to maintain the safe and stable operation of power equipment and new energy storage power plants. In this study, transition metal Pt ( = 1, 3, and 4) clusters are attached to MoSe nanosheets for the first time based on density functional theory using the perfect crystalline facet modification method, and the adsorption characteristics and electronic behaviors of H, CH, CO, and CO are investigated and enhanced. The results show that Pt ( = 1, 3, and 4) is reliably chemically connected to the substrate without any significant deformation of the geometry.

View Article and Find Full Text PDF

Sensitivity of future regional and global energy markets and macroeconomic activity to a hypothetical global energy market disruption.

iScience

January 2025

Pacific Northwest National Laboratory, Joint Global Change Research Institute, 5825 University Research Court, Suite 3500, College Park, MD 3500, USA.

In this paper we contribute to a long history of research studying interactions between energy systems, international energy trade, and macroeconomic activity. We develop and employ methods to quantify transmission pathways for energy markets to affect the macroeconomy and CO emissions. We track the long-term consequences of a hypothetical permanent disruption to global energy markets, cession of Russian fossil fuel exports, for energy markets, regional and global economic activity (gross domestic product [GDP]), labor and capital markets, and CO emissions against two dramatically different reference scenarios.

View Article and Find Full Text PDF

An inherently discrete-time model based on the mass action law for a heterogeneous population.

Math Biosci Eng

December 2024

Institute of of Information Technology, Warsaw University of Life Sciences - SGGW, Nowoursynowska 159 Street, building 34, 02-776 Warsaw, Poland.

In this paper, we introduce and analyze a discrete-time model of an epidemic spread in a heterogeneous population. As the heterogeneous population, we define a population in which we have two groups which differ in a risk of getting infected: a low-risk group and a high-risk group. We construct our model without discretization of its continuous-time counterpart, which is not a common approach.

View Article and Find Full Text PDF

Balancing mitigation strategies for viral outbreaks.

Math Biosci Eng

December 2024

Department of Mathematics & Statistics, Georgia State University, Atlanta, USA.

Control and prevention strategies are indispensable tools for managing the spread of infectious diseases. This paper examined biological models for the post-vaccination stage of a viral outbreak that integrate two important mitigation tools: social distancing, aimed at reducing the disease transmission rate, and vaccination, which boosts the immune system. Five different scenarios of epidemic progression were considered: (ⅰ) the "no control" scenario, reflecting the natural evolution of a disease without any safety measures in place, (ⅱ) the "reconstructed" scenario, representing real-world data and interventions, (ⅲ) the "social distancing control" scenario covering a broad set of behavioral changes, (ⅳ) the "vaccine control" scenario demonstrating the impact of vaccination on epidemic spread, and (ⅴ) the "both controls concurrently" scenario incorporating social distancing and vaccine controls simultaneously.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!