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Visible Light
Communication in
Vehicular Networks
A Step Toward Smarter Transportation Systems
Presented by: K.A.K.T.GIHAN
Index NO : 21/ENG/066
Introduction
• Visible Light
Communication (VLC): High-
speed data transmission
using visible light.
• Vehicular Communication:
Essential for safety, traffic
management, and
autonomous driving.
• Relevance to 6G Networks:
- High data rates, low
latency, enhanced security.
- Addresses RF spectrum
congestion.
Objectives
1. EXPLORE VLC
FEASIBILITY IN
VEHICULAR NETWORKS.
2. DEVELOP A HYBRID
VLC-RF FRAMEWORK
FOR SEAMLESS
COMMUNICATION.
3. OPTIMIZE
MODULATION
TECHNIQUES AND
RESOURCE ALLOCATION.
4. ADDRESS REAL-
WORLD CHALLENGES
LIKE MOBILITY AND
INTERFERENCE.
5. EVALUATE VLC’S
POTENTIAL TO
COMPLEMENT RF
TECHNOLOGIES.
Literature Review
• VLC Technology:
- Uses LEDs for
energy-efficient,
high-speed data
transmission.
• Applications in
Vehicular
Networks:
- Enhances traffic
safety and
management.
• Relevance to 6G
Networks:
- Supports ultra-
reliable low-latency
communication
(URLLC).
• Challenges:
- Environmental
interference, line-
of-sight
dependency.
Modulation
Techniques
• On-Off Keying (OOK): Simple, low
power, limited data rate.
• Pulse Position Modulation (PPM):
Power-efficient, needs synchronization.
• Orthogonal Frequency-Division
Multiplexing (OFDM): High efficiency,
complex.
• Color Shift Keying (CSK): Multi-
channel, requires calibration.
• Hybrid Techniques: Combines
multiple methods for adaptability.
VISIBLE LIGHT COMMUNICATION IN  VEHICULAR NETWORKS
Proposed
Solution/Framework
• System Overview:
- Hybrid VLC-RF framework with VLC
nodes, RF nodes, and data fusion.
• Architecture Layers:
1. Perception Layer: Data collection
hardware.
2. Network Layer: Protocols for data
fusion and handover.
3. Application Layer: Traffic management,
safety alerts.
• Benefits: Enhanced spectrum utilization,
reliability, energy efficiency.
Methodology
1. Literature Review:
Identify gaps and
state-of-the-art
methods.
2. System Design:
Develop architecture,
define performance
metrics.
3. Implementation:
Test modulation
techniques, develop
algorithms.
4. Simulation and
Analysis: Evaluate
data rate, latency,
reliability.
5. Validation:
Compare results with
benchmarks and
experimental data.
Expected
Outcomes
• Technical Advancements:
- Hybrid VLC-RF framework with adaptive handover.
• Performance Improvements:
- Enhanced spectrum efficiency, reduced latency.
• Practical Applications:
- Reliable V2V and V2I communication.
- Integration into smart cities for traffic
management.
• Contribution to 6G:
- Alignment with ultra-reliable low-latency
communication.
sada
Timeline and Resources
• Timeline:
• Resources:
1
- Week 1–2:
Research.
2
- Week 3–4:
System
Design.
3
- Week 5–8:
Implementat
ion.
4
- Week 9–11:
Simulation
and Analysis.
5
- Week 12:
Documentati
on and
Presentation
.
Hardware:
LEDs, photodetectors, RF modules Software:
MATLAB, NS-3, Python.
Conclusion
• VLC offers a transformative
approach to vehicular
communication.
• Hybrid VLC-RF framework aligns
with 6G goals.
• Contributes to sustainable and
smarter transportation systems.
Questions?
• Thank you! Feel free to ask
any questions.

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VISIBLE LIGHT COMMUNICATION IN VEHICULAR NETWORKS

  • 1. Visible Light Communication in Vehicular Networks A Step Toward Smarter Transportation Systems Presented by: K.A.K.T.GIHAN Index NO : 21/ENG/066
  • 2. Introduction • Visible Light Communication (VLC): High- speed data transmission using visible light. • Vehicular Communication: Essential for safety, traffic management, and autonomous driving. • Relevance to 6G Networks: - High data rates, low latency, enhanced security. - Addresses RF spectrum congestion.
  • 3. Objectives 1. EXPLORE VLC FEASIBILITY IN VEHICULAR NETWORKS. 2. DEVELOP A HYBRID VLC-RF FRAMEWORK FOR SEAMLESS COMMUNICATION. 3. OPTIMIZE MODULATION TECHNIQUES AND RESOURCE ALLOCATION. 4. ADDRESS REAL- WORLD CHALLENGES LIKE MOBILITY AND INTERFERENCE. 5. EVALUATE VLC’S POTENTIAL TO COMPLEMENT RF TECHNOLOGIES.
  • 4. Literature Review • VLC Technology: - Uses LEDs for energy-efficient, high-speed data transmission. • Applications in Vehicular Networks: - Enhances traffic safety and management. • Relevance to 6G Networks: - Supports ultra- reliable low-latency communication (URLLC). • Challenges: - Environmental interference, line- of-sight dependency.
  • 5. Modulation Techniques • On-Off Keying (OOK): Simple, low power, limited data rate. • Pulse Position Modulation (PPM): Power-efficient, needs synchronization. • Orthogonal Frequency-Division Multiplexing (OFDM): High efficiency, complex. • Color Shift Keying (CSK): Multi- channel, requires calibration. • Hybrid Techniques: Combines multiple methods for adaptability.
  • 7. Proposed Solution/Framework • System Overview: - Hybrid VLC-RF framework with VLC nodes, RF nodes, and data fusion. • Architecture Layers: 1. Perception Layer: Data collection hardware. 2. Network Layer: Protocols for data fusion and handover. 3. Application Layer: Traffic management, safety alerts. • Benefits: Enhanced spectrum utilization, reliability, energy efficiency.
  • 8. Methodology 1. Literature Review: Identify gaps and state-of-the-art methods. 2. System Design: Develop architecture, define performance metrics. 3. Implementation: Test modulation techniques, develop algorithms. 4. Simulation and Analysis: Evaluate data rate, latency, reliability. 5. Validation: Compare results with benchmarks and experimental data.
  • 9. Expected Outcomes • Technical Advancements: - Hybrid VLC-RF framework with adaptive handover. • Performance Improvements: - Enhanced spectrum efficiency, reduced latency. • Practical Applications: - Reliable V2V and V2I communication. - Integration into smart cities for traffic management. • Contribution to 6G: - Alignment with ultra-reliable low-latency communication. sada
  • 10. Timeline and Resources • Timeline: • Resources: 1 - Week 1–2: Research. 2 - Week 3–4: System Design. 3 - Week 5–8: Implementat ion. 4 - Week 9–11: Simulation and Analysis. 5 - Week 12: Documentati on and Presentation . Hardware: LEDs, photodetectors, RF modules Software: MATLAB, NS-3, Python.
  • 11. Conclusion • VLC offers a transformative approach to vehicular communication. • Hybrid VLC-RF framework aligns with 6G goals. • Contributes to sustainable and smarter transportation systems.
  • 12. Questions? • Thank you! Feel free to ask any questions.