Colour visible light communication with machine learning compensation map for 6G communication services = 6G 통신 서비스를 위한 기계학습 보상 맵 기반 컬러 가시 광 통신 기법

다국어 초록 (Multilingual Abstract)

A standard communication performance on the colour channel may be sought in the area of visible light (VL) conversation according to the multi-color transmit between colour LEDs including photodiode enabling 6G communication service, and VL messaging services under multiple colour channel of the system. Light waves with a wavelength between 380 and 750 nm are used to modulate data to form a VL communication signal. People can see it entering the air because of the way it is illuminated by the ambient light. We take into account the new colour VL communication method that corrects for signal distortions using the map idea and its circuitry implemented on the VL receiver. In this work, a compensation map created through machine learning data is used to figure out the compensation for the amount of distortion in advance, and using that data, a transceiver is developed. The compensated signal map is used at the receiving end to compare the transceiver's power value and correct for distortion. For the performance measures, the output power as well as bit error rate are determined. Due to the various characteristics of the colour channels, it is clear that the previously described technique without a compensation function for distortion problems fails in a colour VL communication trial, whereas the suggested scheme has no distortion problems as a result of the performance variation of each colour VL channel across the entire range of transmission distance

Keywords: Machine Learning, Artificial Intelligence, Matlab Software, Compensation signal distortion, Visible Light Communication, Color distortion, Transceiver.

국문 초록 (Abstract)

6G 통신 서비스 구현을 위해 제안된 LED소자와 광 다이오드 모듈을 사용하는 칼라 가시 광 통신 시스템에서 칼라 가시 광 채널 특성에 따른 수신 신호 왜곡의 통신 성능 분석이 필요하다.
이 연구는 기계 학습을 통해 얻은 칼라 보상 지도를 사용하여 칼라 수신 신호 왜곡에 대한 보상을 미리 파악하고, 기계학습 기반 데이터로 구현된 가시 광 송수신 회로로 칼라 수신 왜곡을 보상한다. 보상 지도로 수신 단에서 전력 값을 비교해 왜곡을 보상한다. 또한 통신 성능 측정을 위해 비트 오류 율도 얻어진다.

키워드: 가시 광 통신, 기계 학습, 신호 왜곡, 보상 지도

목차 (Table of Contents)

• TLIST OF CONTENTS
• Chapter 1..........................................................................................................................1
• Introduction.....................................................................................................................1
• 1.1. Overview of our Project.............................................................................................1
• 1.2. Visible Light Communication....................................................................................5
• 1.2.1. The modality of visible light communication..................................................7
• 1.2.2. Assessing of Visible Light Communication....................................................8
• 1.2.3. Components of VLC......................................................................................10
• 1.2.4. Advantages of VLC.......................................................................................11
• 1.2.5. Complications with the VLC system.............................................................12
• 1.2.6. Benefits of VLC.............................................................................................12
• 1.2.7. Modeling of an indoor visible light communication system.........................13
• 1.2.8. Visible Light Communication in Interior......................................................14
• 1.3. Light Emitting Diode................................................................................................15
• 1.3.1. Light Sources used in VLC...........................................................................16
• 1.3.2. Various Types of LEDs.................................................................................19
• 1.4. Machine Learning.....................................................................................................20
• 1.5. Problem Statement....................................................................................................22
• 1.6. Objective...................................................................................................................22
• 1.7. Scope........................................................................................................................22
• Chapter 2........................................................................................................................23
• Review of literature.......................................................................................................23
• Chapter 3........................................................................................................................27
• Proposed methodolog....................................................................................................27
• 3.1. Proposed Scheme.....................................................................................................27
• 3.1.1 VLC System Based on ML............................................................................27
• 3.2. Block Diagram.........................................................................................................28
• 3.3. MATLAB Software.................................................................................................37
• 3.4. Software Requirements............................................................................................38
• 3.5. Hardware Requirements...........................................................................................38
• Chapter 4........................................................................................................................39
• Results and Discussion..................................................................................................39
• Chapter 5........................................................................................................................44
• Conclusion......................................................................................................................44
• References.......................................................................................................................45
• Abstract..........................................................................................................................48
• Published Paper.............................................................................................................49
• Acknowledgement..........................................................................................................50
• Resume............................................................................................................................51