An Artificial Intelligence-based Error Correction for Optical Camera Communication

被引：0

作者：

Tung Lam Pham ^{[1
]}

Trang Nguyen ^{[1
]}

Minh Duc Thieu ^{[1
]}

Huy Nguyen ^{[1
]}

Hoan Nguyen ^{[1
]}

Yeong Mm Jang ^{[1
]}

机构：

[1] Kookmin Univ, Dept Elect Engn, Seoul, South Korea

来源：

2019 ELEVENTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2019) | 2019年

关键词：

artificial intelligence (AI); error correction; hybrid-spatial-phase-shift-keying (HS-PSK); dimmable-spatial-8-phaseshift-keying (DS8-PSK); optical camera communication (OCC); vehicular wireless communication; IEEE; 802.15.7;

D O I：

10.1109/icufn.2019.8806169

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Optical Camera Communication (OCC) is promising to be the candidate for vehicular wireless communication due to its low cost, unlicensed spectrum and safe for human. Our most recent approach is to add region-of-interest (RoI) signaling functionality for cars via either headlight or taillight using hybrid of a low-rate waveform and high-rate waveform, which is already standardized in IEEE 802.15.7 standard. However, commercialize OCC for vehicular communication still be challenging work. In this paper, we proposed a novel error correction method based on the most trending technology artificial intelligence (AI) to deal with the various existing issues in the communication channel. The simulation for analyzing the performance of a new method in enhancing the performance of the communication system also be provided

引用

页码：137 / 140

页数：4

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