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Yanchao Jiang

dblp:377/1637 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0009-5082-1257ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Optical networks · 46% Wireless networking · 46% Network management and operations · 7%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Optical networks
elastic optical networks
0.912025
Synergizing Hyper-Accelerated Power Optimization and Wavelength-Dependent QoT-Aware Cross-Layer Design in Next-Generation Multi-Band EONs · IEEE J. Sel. Areas Commun. 2025
Wireless networking › wireless transmission
multi-band transmission
0.912025
Synergizing Hyper-Accelerated Power Optimization and Wavelength-Dependent QoT-Aware Cross-Layer Design in Next-Generation Multi-Band EONs · IEEE J. Sel. Areas Commun. 2025
Wireless networking › wireless network optimization
power optimization
0.912025
Synergizing Hyper-Accelerated Power Optimization and Wavelength-Dependent QoT-Aware Cross-Layer Design in Next-Generation Multi-Band EONs · IEEE J. Sel. Areas Commun. 2025
Optical networks
quality of transmission
0.912025
Synergizing Hyper-Accelerated Power Optimization and Wavelength-Dependent QoT-Aware Cross-Layer Design in Next-Generation Multi-Band EONs · IEEE J. Sel. Areas Commun. 2025

Methods — techniques the papers use, named apart from their topics

hyper-accelerated optimization · 0.9GSNR modeling · 0.9
YearPublicationVenuePosition
2025 Synergizing Hyper-Accelerated Power Optimization and Wavelength-Dependent QoT-Aware Cross-Layer Design in Next-Generation Multi-Band EONs
abstract
The extension of elastic optical network (EON) technologies to multi-band transmission (MB-EON) promises enhanced spectral efficiency, greater throughput, and long-term cost benefits for telecom operators. However, designing such networks presents challenges, particularly in optimizing physical parameters like optical power and quality of transmission (QoT) across different frequency bands. This paper introduces a methodology for optimal span-by-span power allocation using two hyper-accelerated power optimization (HPO) modes: flat launch power (FLP) and flat received power (FRP). This methodology significantly accelerate network power optimization while ensuring service stability in scenarios such as changes in network parameters, QoT degradation due to aging, and network re-optimization or upgrading. Through a comprehensive comparison, we find that FRP notably improves signal flatness and GSNR/OSNR, particularly in the S-band, contributing to a network-wide throughput increase in the order of 12% to 75%. Additionally, we demonstrate that HPO applied to global power optimization is simpler and more cost-effective than when applied to local methods for large-scale networks.
Farhad Arpanaei, Mahdi Ranjbar Zefreh, Yanchao Jiang, Pierluigi Poggiolini, Kimia Ghodsifar, Hamzeh Beyranvand, Carlos Natalino, Paolo Monti 0001, Antonio Napoli, José Manuel Rivas-Moscoso, Óscar González de Dios, Juan P. Fernández Palacios, Octavia A. Dobre, José Alberto Hernández 0001, David Larrabeiti
IEEE J. Sel. Areas Commun.3