A Transceiver Design Based on an Autoencoder Network for Multi-Color VLC Systems
Autor: | Zhang Dongfang, Zhao-Rui Zhu, Hong-Yi Yu, Yi-Jun Zhu |
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Rok vydání: | 2020 |
Předmět: |
lcsh:Applied optics. Photonics
visible light communication color shift keying Channel (digital image) Computer science Visible light communication Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology 020210 optoelectronics & photonics 0202 electrical engineering electronic engineering information engineering Electronic engineering lcsh:QC350-467 Electrical and Electronic Engineering Chromaticity channel state information Computer Science::Information Theory autoencoder Computer simulation lcsh:TA1501-1820 020206 networking & telecommunications Autoencoder Atomic and Molecular Physics and Optics Transceiver design Constraint (information theory) Block Error Rate Channel state information lcsh:Optics. Light |
Zdroj: | IEEE Photonics Journal, Vol 12, Iss 3, Pp 1-16 (2020) |
ISSN: | 1943-0647 |
DOI: | 10.1109/jphot.2020.2990957 |
Popis: | We propose a transceiver design method based on an autoencoder (AE) network for multi-color visible light communication (VLC) systems. Taking into account the chromaticity constraint described by MacAdam ellipses and the peak-value constraint of transmitted signals, the proposed AE network utilizes a peak-value constraint layer and an integrated loss function which different from previous AE designs. The new structure of AE network can be suitable for VLC systems with different numbers of colors. Additionally, noisy channel state information (CSI) is employed during the training of the AE in order to achieve a better performance for the system with imperfect CSI. After training, a transceiver design with the target of minimizing block error rate (BLER) can be obtained, which simultaneously meets the requirements of lighting. The results of numerical simulation experiments demonstrate that our proposed transceiver design outperforms conventional color shift keying (CSK) constellation design in imperfect CSI channel. |
Databáze: | OpenAIRE |
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