Long Short-Term Memory Neural Network to Enhance the Data Rate and Performance for Rolling Shutter Camera Based Visible Light Communication (VLC)

Ching Wei Peng; Deng Cheng Tsai; Yun Shen Lin; Chi Wai Chow; Yang Liu; Chien Hung Yeh

Long Short-Term Memory Neural Network to Enhance the Data Rate and Performance for Rolling Shutter Camera Based Visible Light Communication (VLC)

Ching Wei Peng, Deng Cheng Tsai, Yun Shen Lin, Chi Wai Chow^*, Yang Liu, Chien Hung Yeh

^*此作品的通信作者

光電工程學系

研究成果: Conference contribution › 同行評審

摘要

We propose and demonstrate using Long-Short-Term-Memory neural-network (LSTM-NN) to mitigate inter-symbol-interference (ISI) in 4-level pulse-amplitude-modulation (PAM4) camera based visible-light-communication (VLC) system. Data-rate of 14.4-kbit/s with 3-m free-space transmission is achieved.

原文	English
主出版物標題	Optical Fiber Communication Conference, OFC 2022
發行者	Optica Publishing Group (formerly OSA)
ISBN（電子）	9781557528209
出版狀態	Published - 2022
事件	Optical Fiber Communication Conference, OFC 2022 - San Diego, United States 持續時間: 6 3月 2022 → 10 3月 2022

出版系列

名字	Optics InfoBase Conference Papers

Conference

Conference	Optical Fiber Communication Conference, OFC 2022
國家/地區	United States
城市	San Diego
期間	6/03/22 → 10/03/22

其它文件與鏈接

Link to publication in Scopus

引用此

Peng, C. W., Tsai, D. C., Lin, Y. S., Chow, C. W., Liu, Y., & Yeh, C. H. (2022). Long Short-Term Memory Neural Network to Enhance the Data Rate and Performance for Rolling Shutter Camera Based Visible Light Communication (VLC). 於 Optical Fiber Communication Conference, OFC 2022 Article W3I.5 (Optics InfoBase Conference Papers). Optica Publishing Group (formerly OSA).

@inproceedings{06ef361fef4640fa9612c5558779b334,

title = "Long Short-Term Memory Neural Network to Enhance the Data Rate and Performance for Rolling Shutter Camera Based Visible Light Communication (VLC)",

abstract = "We propose and demonstrate using Long-Short-Term-Memory neural-network (LSTM-NN) to mitigate inter-symbol-interference (ISI) in 4-level pulse-amplitude-modulation (PAM4) camera based visible-light-communication (VLC) system. Data-rate of 14.4-kbit/s with 3-m free-space transmission is achieved.",

author = "Peng, {Ching Wei} and Tsai, {Deng Cheng} and Lin, {Yun Shen} and Chow, {Chi Wai} and Yang Liu and Yeh, {Chien Hung}",

note = "Publisher Copyright: {\textcopyright} Optica Publishing Group 2022, {\textcopyright} 2022 The Author(s); Optical Fiber Communication Conference, OFC 2022 ; Conference date: 06-03-2022 Through 10-03-2022",

year = "2022",

language = "English",

series = "Optics InfoBase Conference Papers",

publisher = "Optica Publishing Group (formerly OSA)",

booktitle = "Optical Fiber Communication Conference, OFC 2022",

}

Peng, CW, Tsai, DC, Lin, YS, Chow, CW, Liu, Y & Yeh, CH 2022, Long Short-Term Memory Neural Network to Enhance the Data Rate and Performance for Rolling Shutter Camera Based Visible Light Communication (VLC). 於 Optical Fiber Communication Conference, OFC 2022., W3I.5, Optics InfoBase Conference Papers, Optica Publishing Group (formerly OSA), Optical Fiber Communication Conference, OFC 2022, San Diego, United States, 6/03/22.

Long Short-Term Memory Neural Network to Enhance the Data Rate and Performance for Rolling Shutter Camera Based Visible Light Communication (VLC). / Peng, Ching Wei; Tsai, Deng Cheng; Lin, Yun Shen 等.
Optical Fiber Communication Conference, OFC 2022. Optica Publishing Group (formerly OSA), 2022. W3I.5 (Optics InfoBase Conference Papers).

研究成果: Conference contribution › 同行評審

TY - GEN

T1 - Long Short-Term Memory Neural Network to Enhance the Data Rate and Performance for Rolling Shutter Camera Based Visible Light Communication (VLC)

AU - Peng, Ching Wei

AU - Tsai, Deng Cheng

AU - Lin, Yun Shen

AU - Chow, Chi Wai

AU - Liu, Yang

AU - Yeh, Chien Hung

PY - 2022

Y1 - 2022

N2 - We propose and demonstrate using Long-Short-Term-Memory neural-network (LSTM-NN) to mitigate inter-symbol-interference (ISI) in 4-level pulse-amplitude-modulation (PAM4) camera based visible-light-communication (VLC) system. Data-rate of 14.4-kbit/s with 3-m free-space transmission is achieved.

AB - We propose and demonstrate using Long-Short-Term-Memory neural-network (LSTM-NN) to mitigate inter-symbol-interference (ISI) in 4-level pulse-amplitude-modulation (PAM4) camera based visible-light-communication (VLC) system. Data-rate of 14.4-kbit/s with 3-m free-space transmission is achieved.

UR - http://www.scopus.com/inward/record.url?scp=85136968755&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85136968755

T3 - Optics InfoBase Conference Papers

BT - Optical Fiber Communication Conference, OFC 2022

PB - Optica Publishing Group (formerly OSA)

T2 - Optical Fiber Communication Conference, OFC 2022

Y2 - 6 March 2022 through 10 March 2022

ER -

Long Short-Term Memory Neural Network to Enhance the Data Rate and Performance for Rolling Shutter Camera Based Visible Light Communication (VLC)

摘要

出版系列

Conference

其它文件與鏈接

指紋

引用此