Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Wangwei Shen"'
Publikováno v:
IEEE Photonics Journal, Vol 16, Iss 3, Pp 1-9 (2024)
The auxiliary management and control channel (AMCC) is an extra channel transmitting control and management signal to not change the GPON frame and reduce the PON system latency. In this paper, we demonstrate AMCC for control information transmission
Externí odkaz:
https://doaj.org/article/e93410b16fbf44f98d4143b30986cbbb
Publikováno v:
Optical Fiber Communication Conference (OFC) 2023.
We propose and demonstrate a novel three-dimensional flexible coherent PON with the resource-allocation capability in time, frequency and power domain. High flexibility is demonstrated with >100G over 20-km fiber for coherent PON in downstream.
Publikováno v:
Optical Fiber Communication Conference (OFC) 2023.
To avoid burst-signal processing in downstream transmission during modulation-format switching, we propose and experimentally demonstrate a pilot-aided DSP scheme with continuous SOP tracking, carrier-phase recovery, and channel estimation in 300G fl
Autor:
Zhongya Li, Changle Huang, Junlian Jia, Guoqiang Li, Wangwei Shen, Jianyang Shi, Ziwei Li, Chao Shen, Junwen Zhang, Nan Chi
Publikováno v:
Optical Fiber Communication Conference (OFC) 2023.
We proposed and experimentally demonstrated a bit-wise end-to-end deep-learning-based autoencoder for a fiber-THz integrated DFT-S-OFDM communication system at 209 GHz. More than 5.5-dB sensitivity gain is achieved compared with traditional DFT-S-OFD
Autor:
Zhongya Li, Changle Huang, Junlian Jia, Guoqiang Li, Wangwei Shen, Jianyang Shi, Chao Shen, Ziwei Li, Junwen Zhang, Nan Chi
Publikováno v:
2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC).
Autor:
Zhongya Li, Junlian Jia, Guoqiang Li, Boyu Dong, Wangwei Shen, Changle Huang, Jianyang Shi, Nan Chi, Junwen Zhang
Publikováno v:
Optics Express. 31:15239
Fiber-wireless integration has been widely studied as a key technology to support radio access networks in sixth-generation wireless communication, empowered by artificial intelligence. In this study, we propose and demonstrate a deep-learning-based
Autor:
Junhui Hu, Fangchen Hu, Guoqiang Li, Sizhe Xing, Wangwei Shen, Junwen Zhang, Nan Chi, Chao Shen
Publikováno v:
2021 IEEE 6th Optoelectronics Global Conference (OGC).
Publikováno v:
2021 19th International Conference on Optical Communications and Networks (ICOCN).
Distance-based rate-adaptive visible-light-communication system with probabilistic shaping is proposed and experimentally demonstrated. We achieved flexible access with the net data-rate from 1.84 to 3.27-Gbps for 20 and 1-meter distance, with maximu