Volume 31 Issue 6
Nov.  2022
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SHI Jianyang, CAI Jifan, QIN Guojin, et al. “Geometrically Shaped 32QAM and Modified Binary Switching Coding Method in Underwater Visible Light Communication”. Chinese Journal of Electronics, vol. 31 no. 6. doi: 10.1049/cje.2022.00.057
Citation: SHI Jianyang, CAI Jifan, QIN Guojin, et al. “Geometrically Shaped 32QAM and Modified Binary Switching Coding Method in Underwater Visible Light Communication”. Chinese Journal of Electronics, vol. 31 no. 6. doi: 10.1049/cje.2022.00.057

Geometrically Shaped 32QAM and Modified Binary Switching Coding Method in Underwater Visible Light Communication

doi: 10.1049/cje.2022.00.057
Funds:  This work was supported by the National Natural Science Foundation of China (61925104, 62031011), the Major Key Project of PCL (PCL2021A14), China Postdoctoral Science Foundation (2021M700025), and China National Postdoctoral Program for Innovative Talents (BX2021082)
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  • Author Bio:

    Jianyang SHI received the Ph.D. degree from Fudan University in 2019. He is now working as a Postdoctoral Fellow at Fudan University. He is the recipient of an IEEE Photonics Society Graduate Student Fellowship. His current research interests include high-speed visible light systems and advanced digital signal processing. (Email: jy_shi@fudan.edu.cn)

    Jifan CAI received the B.S. degree at Huazhong University of Science and Technology in 2022 and is now pursuing the Ph.D. degree at Fudan University. His research interests include visible light communication and machine learning algorithms.(Email: u201813991@hust.edu.cn)

    Guojin QIN is now pursuing the B.S. degree and will graduate in 2022 in Fudan University. His research interests include VLC system and algorithms.(Email: 18307130189@fudan.edu.cn)

    Ruizhe JIN is now pursuing the B.S. degree at Fudan University. His research interests include visible light communication and machine learning.(Email: 18307130209@fudan.edu.cn)

    Xianhao LIN received the B.S. degree at Wuhan University in 2021 and is now pursuing the Ph.D. degree at Fudan University. His research interests include machine learning and visible light communication.(Email: xianhaolin@whu.edu.cn)

    Nan CHI (corresponding author) is a Professor at the School of Information Science and Technology, Fudan University. She is now with the Shanghai Institute for Advanced Communication and Data Science, Key Laboratory for Information Science of Electromagnetic Waves (MoE), and Academy for Engineering and Technology. Her current research interests include advanced modulation formats, optical packet/label switching, and optical fiber and visible light communications. She is a fellow of the Optical Society of America (OSA).(Email: nanchi@fudan.edu.cn)

  • Received Date: 2022-03-30
  • Accepted Date: 2022-07-07
  • Available Online: 2023-01-31
  • Publish Date: 2022-11-05
  • Visible light communication (VLC) has emerged as a promising communication method in 6G, particularly in the domain of underwater communication. However, because of its intimate coupling to the light-emitting diodes (LED), the transmission rate is limited by the modulation bandwidth and the nonlinearity of the LED. With current device development, LED bandwidth is substantially lower than that of other optical communication devices, necessitating improved spectral efficiency and nonlinearity robustness to achieve high-speed transmission. In this paper, we propose a hexagonal constellation-based geometrically shaped (GS) 32QAM with carrierless amplitude and phase (CAP) modulation for the underwater VLC system. A comprehensive performance comparison of four GS modulation methods, including our proposed hexagonal-32QAM, normal 32QAM, square-32QAM and 32APSK is investigated in both theory and experiment. The hexagonal-32QAM with a modified binary switching coding (BSC) can obtain a Q factor gain of 0.44 dB, and a data rate improvement of 25 Mb/s compared with Gary coding based normal 32QAM. The experimentally results illustrate the feasibility of geometric shaping 32QAM in underwater visible light communication.
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