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Qianjin Xiong

dblp:151/4957 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none

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

Computer networks · 1Graphics, computer vision, multimedia, augmented reality and games · 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 · 67% Internet of things and sensor networks · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks
energy efficiency
0.212014
All Optical Switching Networks With Energy-Efficient Technologies From Components Level to Network Level · IEEE J. Sel. Areas Commun. 2014
Optical networks
optical network architecture
0.212014
All Optical Switching Networks With Energy-Efficient Technologies From Components Level to Network Level · IEEE J. Sel. Areas Commun. 2014
Optical networks › optical network management
software-defined optical network
0.212014
All Optical Switching Networks With Energy-Efficient Technologies From Components Level to Network Level · IEEE J. Sel. Areas Commun. 2014

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

openflow · 0.2experimental demonstration · 0.2
YearPublicationVenuePosition
2024 Superpixelwise PCA based data augmentation for hyperspectral image classification
Xinwei Jiang, Yongshan Zhang, Xiaobo Liu 0001, Qianjin Xiong, Zhihua Cai
Multim. Tools Appl.5
2014 All Optical Switching Networks With Energy-Efficient Technologies From Components Level to Network Level
abstract
The key current challenges for the industrial application of all optical switching networks are energy consumption, transmission rate, spectrum efficiency, and switching throughput. The energy consumption problem is mainly researched in this paper. From the perspective of components and modules, node equipment, and network levels, different enabling technologies are proposed to overcome this problem, which are also evaluated through different experimental demonstrations. First, high-sampling-rate digital-to-analog converters (DACs) and WSS-based ROADM modules are demonstrated as components and modules for energy-efficient all optical switching networks. Then, an all optical transport network test-bed consisting of 10 Pbit/s level all optical switching nodes based on multi-level and multi-planar switching architecture is experimentally demonstrated for the first time, which can reduce power consumption by 43%. A control architecture for energy-efficient all optical switching networks is built with OpenFlow based software defined networking (SDN), and experimental results are given to verify the performance of this control architecture. Finally, we describe an All Optical Networks Innovation (AONI) project in China, which aims to explore transmission, switching, and networking technologies in all optical switching networks, and then two application scenarios are forecast based on the technical breakthroughs of this project.
Yuefeng Ji, Jie Zhang 0006, Yongli Zhao 0001, Hui Li 0033, Qianjin Xiong, Daojun Xue, Jianjun Yu, Shaofeng Qiu
IEEE J. Sel. Areas Commun.7