Zobrazeno 1 - 10 of 21 pro vyhledávání: '"Junlian Jia"'
1
Akademický článek
A Hybrid Millimeter-Wave and Free-Space-Optics Communication Architecture with Adaptive Diversity Combining and HARQ Techniques
Autor: Yinjun Liu, Xiaochuan Tan, Junlian Jia, Boyu Dong, Changle Huang, Penghao Luo, Jianyang Shi, Nan Chi, Junwen Zhang
Publikováno v: Photonics, Vol 10, Iss 12, p 1320 (2023)
We propose and demonstrate a hybrid communication architecture that combines millimeter-wave (MMW) in the radio frequency (RF) domain and free-space-optics (FSO) technologies using adaptive combining and hybrid automatic repeat request (HARQ) techniq
Externí odkaz: https://doaj.org/article/d5c503cbd2c64d868f04b8a5f184a1c0
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2
Akademický článek
Flexible Data Rate V2X Communication System beyond 1.84 Gb/s Based on MIMO VLC and Radar Integration
Autor: Junlian Jia, Peng Zou, Fangchen Hu, Yiheng Zhao, Nan Chi
Publikováno v: Applied Sciences, Vol 10, Iss 19, p 6636 (2020)
Vehicle-to-everything (V2X) communication has been widely studied in recent years for the rapid development of the vehicular traffic. In this paper, a V2X communication system integrating the probabilistic shaping (PS) bitloading multi-input-multi-ou
Externí odkaz: https://doaj.org/article/3461b73cfcd143f99f79c436beee1805
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5
Position-Dependent MIMO Demultiplexing Strategy for High-Speed Visible Light Communication in Internet of Vehicles
Autor: Peng Zou, Xiaojun Yu, Guoqiang Li, Shaohua Yu, Zhixue He, Jie Wang, Nan Chi, Fangchen Hu, Yinaer Ha, Wenqing Niu, Junlian Jia
Publikováno v: IEEE Internet of Things Journal. 9:10833-10850
The context of the Internet-of-Vehicles (IoV) and the growing vehicular deployment of sensors and smart devices have demanded alternative wireless communication technologies. Despite the prevalent works on radio-frequency (RF) based vehicular communi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fd1ae23647d56d533da27d2678f34f6e
https://doi.org/10.1109/jiot.2021.3126798
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6
Photonic-based W-band Flexible TFDM Integrated Sensing and Communication System for Fiber-wireless Network
Autor: Boyu Dong, Junlian Jia, Guoqiang Li, Jianyang Shi, Haipeng Wang, Zhenzhou Tang, Junwen Zhang, Shilong Pan, Nan Chi
Publikováno v: 2023 Optical Fiber Communications Conference and Exhibition (OFC).
We proposed and experimentally demonstrated a novel W-band photonic-based integration of sensing and communication system for the fiber-wireless integrated network with flexible waveforms and TFDM resource allocation capability, achieving adaptive se
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::938f32c9b1899a5cf7c79515245934c7
https://doi.org/10.23919/ofc49934.2023.10116069
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7
Deep Learning-Based End-to-End Bit-Wise Autoencoder for G-Band Fiber-Terahertz Integrated DFT-S-OFDM Communication System
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
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b75bc7e71f227d992dec3b59b12ab05e
https://doi.org/10.1364/ofc.2023.w2b.26
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9
Neural-network-based direct waveform to symbol conversion for joint ISI and ICI cancellation in non-orthogonal multi-band CAP based UDWDM fiber-mmWave integration
Autor: Jiang Chen, Junlian Jia, Sizhe Xing, Jiaye Wang, Jianyang Shi, Junwen Zhang, Nan Chi
Publikováno v: Optics express. 30(20)
The six-generation mobile network (6G) based on millimeter-wave (mmWave) is expected to deliver more capacity and higher connection density compared with 5G. We demonstrate an ultra-dense wavelength division multiplexing (UDWDM) fiber-mmWave integrat
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5419dc6bd8a1abb8c30da1498a19fe54
https://pubmed.ncbi.nlm.nih.gov/36258514
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