Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Chinese Optics Letters
  • Vol. 20,
  • Issue 4,
  • pp. 042501-
  • (2022)

Nonlinear coded nonuniform superposition QAM by trellis-coding for MISO system in visible light communication

Not Accessible

Your library or personal account may give you access

Abstract

In this paper, we propose a 36-quadrature amplitude modulation (QAM) superposition modulation technique that is featured with uneven symbol probability by nonlinear precoding, named nonlinear coded nonuniform superposition (NCNS) QAM. Its aim is to alleviate the nonlinearity effect caused by high instantaneous power in multi-input single-output (MISO) visible light communication (VLC) system, with an uneven probabilistic-shaped constellation. The transmitter includes two LEDs to send signals independently, and the receiver uses a photo detector to receive the superposed QAM signal. The experiment results show that NCNS has a better robustness against nonlinearity than pulse amplitude modulation 4, approximately gaining a 16% increase in maximum usable peak-to-peak voltage and a 33% enlargement in dynamic range area. It is a simple but effective approach to solve the bandwidth limits related to signal power and hopefully be applied in large power VLC systems such as underwater VLC, or to improve the robustness against power fluctuation.

© 2022 Chinese Laser Press

PDF Article
More Like This
Interleaved superposed-64QAM-constellation design for spatial multiplexing visible light communication systems

Xinyue Guo, Yuansha Yuan, Chao Pan, and Jiangnan Xiao
Opt. Express 29(15) 23341-23356 (2021)

Flipped superposed constellation design for MIMO visible-light communication systems

Xinyue Guo, Yuansha Yuan, Yiheng Zhao, and Nan Chi
Opt. Express 30(7) 11588-11603 (2022)

Energy-efficient space–time modulation for indoor MISO visible light communications

Yan-Yu Zhang, Hong-Yi Yu, Jian-Kang Zhang, Yi-Jun Zhu, and Tao Wang
Opt. Lett. 41(2) 329-332 (2016)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.