Abstract
This paper presents a method for channel modeling of multi-wavelength Visible Light Communication (VLC) system, and compares the effects of long short-term memory (LSTM), gated recurrent unit (GRU), sparse autoencoder-s (SAEs) algorithms in channel modeling. The results show that the SAEs algorithm fits the best with a mean square error of only 3 ×10-6. Besides, we construct the multi-wavelength channel of the RGB tricolor LED light source and model it. Finally, after analyzing the influence of many factors on the channel, it is concluded that the modeling effect of the short-wavelength signal source is the best.
Original language | English |
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Title of host publication | 2022 4th West Asian Symposium on Optical and Millimeter-wave Wireless Communications (WASOWC) |
Publisher | IEEE |
Number of pages | 4 |
ISBN (Electronic) | 9781665409131 |
ISBN (Print) | 9781665409148 |
DOIs | |
Publication status | Published - 12 May 2022 |
Event | 2022 4th West Asian Symposium on Optical and Millimeter-wave Wireless Communications - University of Tabriz, Tabriz, Iran, Islamic Republic of Duration: 12 May 2022 → 13 May 2022 https://wasowc2022.tabrizu.ac.ir/en |
Conference
Conference | 2022 4th West Asian Symposium on Optical and Millimeter-wave Wireless Communications |
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Abbreviated title | WASOWC 2022 |
Country/Territory | Iran, Islamic Republic of |
City | Tabriz |
Period | 12/05/22 → 13/05/22 |
Internet address |
Keywords
- channel modeling
- deep learning
- multi-wavelength communication