Results 1 to 10 of about 479,261 (393)

Achievable information rate optimization in C-band optical fiber communication system. [PDF]

Front Optoelectron, 2023
Liu Z, Xu T, Qi J, Uduagbomen J, Zhao J, Liu T.   +5 more
europepmc   +3 more sources

Magneto-Refractive Effect and Mechanism Analysis of Erbium-Ytterbium Co-Doped Silica Fiber

IEEE Photonics Journal, 2021
The magneto-refractive properties of Er/Yb co-doped silica fiber (EYDF) are important in magnetic field sensing. Here, we proposed a theoretical calculation model of the EYDF using density functional theory (DFT) and demonstrated it by an ...
Yanhua Dong, Caihong Huang, Wanting Sun, Sujuan Huang, Cheng Yan, Jianxiang Wen, Xiaobei Zhang, Yi Huang, Yana Shang, Heming Wei, Tingyun Wang   +10 more
doaj   +1 more source

Influence of Temperature on All-Silica Fabry-Pérot Pressure Sensor

IEEE Photonics Journal, 2021
An all-silica Fabry-Pérot interferometer (FPI) is demonstrated for high-temperature pressure monitoring. The pressure sensor is fabricated with single mode fiber and silica capillary by CO2 laser.
Jintao Chen, Heming Wei, Liang Zhang, Zhifeng Wang, Guilin Zhang, Zhenyi Chen, Tingyun Wang, Fufei Pang   +7 more
doaj   +1 more source

Channel-Based Dynamic Key Generation for Physical Layer Security in OFDM-PON Systems

IEEE Photonics Journal, 2021
Key generation and distribution is a fundamental problem of communication security. To avoid the potential risk due to static key, a physical-layer dynamic key generation and encryption scheme is proposed for orthogonal frequency division multiplexing ...
Yating Wu, Yan Yu, Yuanfeng Hu, Yanzan Sun, Tao Wang, Qianwu Zhang   +5 more
doaj   +1 more source

Multi-dimensional quantitative model of communication network value

Scientific Reports, 2022
In this paper, a multi-dimensional quantitative model is firstly founded for evaluating communication network value, and the quantification of the abstract concept of network value is realized.
Lijuan Wu, Chaoqin Gan, Zhongsen Xu, Jianqiang Hui   +3 more
doaj   +1 more source

Generation and Amplification of Third-Order Orbital Angular Momentum Modes in a Low-Loss All-Fiber System

IEEE Photonics Journal, 2023
We theoretically and experimentally proposed the generation method of third-order orbital angular momentum (OAM) modes with reduced losses by cascading two adiabatic mode selective couplers (MSCs), in which the LP11 mode produced as an excitation mode ...
Mengdi Zhang, Jianxiang Wen, Yan Wu, Ying Cao, Yanhua Luo, Xiaobei Zhang, Fufei Pang, Wei Chen, Tingyun Wang   +8 more
doaj   +1 more source

Laser Linewidth Compression in Cascading Brillouin Random Fiber Lasers

IEEE Photonics Journal, 2022
Cascaded Brillouin random fiber lasers (BRFLs) with laser linewidth compression were theoretically and experimentally demonstrated. Thanks to photon-phonon coupled interplay as well as randomly distributed feedback along silica fibers, the coherent time ...
Yikun Jiang, Liang Zhang, Haozhe Shou, Haoran Xie, Jilin Zhang, Yichun Li, Ying Zhang, Fufei Pang, Tingyun Wang   +8 more
doaj   +1 more source

A novel energy efficient two‐dimensional pilot muting mechanism for non‐stationary channel fading environment

Electronics Letters, 2023
To support communication channels with non‐stationary properties, the pilots are usually configured for the channel worst case in order to ensure the accuracy of tracking the channel, which inevitably causes a waste of resources.
Yanzan Sun, Hongchang Tan, Tao Yu, Shunqing Zhang, Xiaojing Chen   +4 more
doaj   +1 more source

Soliton Microcomb on Chip Integrated Si₃N₄ Microresonators with Power Amplification in Erbium-Doped Optical Mono-Core Fiber

Micromachines, 2022
Soliton microcombs, offering large mode spacing and broad bandwidth, have enabled a variety of advanced applications, particularly for telecommunications, photonic data center, and optical computation.
Xinpeng Chen, Suwan Sun, Weizhu Ji, Xingxing Ding, You Gao, Tuo Liu, Jianxiang Wen, Hairun Guo, Tingyun Wang   +8 more
doaj   +1 more source

An Improved End-to-End Autoencoder Based on Reinforcement Learning by Using Decision Tree for Optical Transceivers

Micromachines, 2021
In this paper, an improved end-to-end autoencoder based on reinforcement learning by using Decision Tree for optical transceivers is proposed and experimentally demonstrated.
Qianwu Zhang, Zicong Wang, Shuaihang Duan, Bingyao Cao, Yating Wu, Jian Chen, Hongbo Zhang, Min Wang   +7 more
doaj   +1 more source