Via Indira Kurnia, Natasia Sekarning Tiyas, Brian Pamukti, K. Sujatmoko
{"title":"基于可见光通信的车对车通信干扰分析","authors":"Via Indira Kurnia, Natasia Sekarning Tiyas, Brian Pamukti, K. Sujatmoko","doi":"10.1109/AIMS52415.2021.9466008","DOIUrl":null,"url":null,"abstract":"This research is analyzing the performance of light interference from another vehicle in Vehicle-to-Vehicle Communication (V2V) using Visible Light Communication (VLC) in order to be known the maximum distance between vehicles can communicate, thereby minimizing the possibility of accidents and density on the highway. This simulation uses On-Off Keying Non Return to Zero (OOK-NRZ) modulation technique with Line of Sight (LoS) channel model and the addition of optical concentrator in photodetector. Simulation is carried out at night conditions with interference from light emitted by another vehicle. The main parameters in this simulation are Bit Error Rate (BER) with reference value of 10−3 and Signal to Interference and Noise Ratio (SINR). From the simulation results, the condition without interference obtained maximum distance between vehicles can communicate well as far as 15.5 meters. When there is interference, the maximum distance the vehicle can communicate is reduced to 14 meters. The presence of interference, the performance of the system becomes worse and the maximum distance of communication between vehicles becomes reduced, with a decrease in communication distance between vehicles of 9,677%. Without interference from another vehicle, SNR value is obtained at a minimum distance $d$ of 18.2 dB. While there is interference, SINR value of 15.3 dB is obtained.","PeriodicalId":299121,"journal":{"name":"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Interference Analysis for Vehicle to Vehicle Communication Using Visible Light Communication\",\"authors\":\"Via Indira Kurnia, Natasia Sekarning Tiyas, Brian Pamukti, K. Sujatmoko\",\"doi\":\"10.1109/AIMS52415.2021.9466008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research is analyzing the performance of light interference from another vehicle in Vehicle-to-Vehicle Communication (V2V) using Visible Light Communication (VLC) in order to be known the maximum distance between vehicles can communicate, thereby minimizing the possibility of accidents and density on the highway. This simulation uses On-Off Keying Non Return to Zero (OOK-NRZ) modulation technique with Line of Sight (LoS) channel model and the addition of optical concentrator in photodetector. Simulation is carried out at night conditions with interference from light emitted by another vehicle. The main parameters in this simulation are Bit Error Rate (BER) with reference value of 10−3 and Signal to Interference and Noise Ratio (SINR). From the simulation results, the condition without interference obtained maximum distance between vehicles can communicate well as far as 15.5 meters. When there is interference, the maximum distance the vehicle can communicate is reduced to 14 meters. The presence of interference, the performance of the system becomes worse and the maximum distance of communication between vehicles becomes reduced, with a decrease in communication distance between vehicles of 9,677%. Without interference from another vehicle, SNR value is obtained at a minimum distance $d$ of 18.2 dB. While there is interference, SINR value of 15.3 dB is obtained.\",\"PeriodicalId\":299121,\"journal\":{\"name\":\"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AIMS52415.2021.9466008\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIMS52415.2021.9466008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Interference Analysis for Vehicle to Vehicle Communication Using Visible Light Communication
This research is analyzing the performance of light interference from another vehicle in Vehicle-to-Vehicle Communication (V2V) using Visible Light Communication (VLC) in order to be known the maximum distance between vehicles can communicate, thereby minimizing the possibility of accidents and density on the highway. This simulation uses On-Off Keying Non Return to Zero (OOK-NRZ) modulation technique with Line of Sight (LoS) channel model and the addition of optical concentrator in photodetector. Simulation is carried out at night conditions with interference from light emitted by another vehicle. The main parameters in this simulation are Bit Error Rate (BER) with reference value of 10−3 and Signal to Interference and Noise Ratio (SINR). From the simulation results, the condition without interference obtained maximum distance between vehicles can communicate well as far as 15.5 meters. When there is interference, the maximum distance the vehicle can communicate is reduced to 14 meters. The presence of interference, the performance of the system becomes worse and the maximum distance of communication between vehicles becomes reduced, with a decrease in communication distance between vehicles of 9,677%. Without interference from another vehicle, SNR value is obtained at a minimum distance $d$ of 18.2 dB. While there is interference, SINR value of 15.3 dB is obtained.