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Published on: November 26, 2019
VLC Network Design for High Mobility Users in Urban Tunnels
Edmundo Torres-Zapata1, Victor Guerra1, Jose Rabadan1
1Institute for Technological Development and Innovation in Communications(IDeTIC), Universidad de Las Palmas de Gran Canaria, 35001 Las Palmas, Spain.
This study introduces a new Visible Light Communication (VLC) network design for intelligent transportation systems (ITS) to ensure reliable, high-speed vehicle connectivity. The proposed low-latency handover scheme guarantees over 99% connection availability for mobile users.
Area of Science:
- Intelligent Transportation Systems (ITS)
- Wireless Communication Networks
- Optical Wireless Communication
Background:
- Vehicular systems require real-time data for safety and security.
- Visible Light Communication (VLC) offers a low-cost, simple wireless access method for ITS.
- Existing VLC networks face challenges with limited coverage and high vehicle speeds, causing handover failures.
Purpose of the Study:
- To design a vehicular VLC network supporting high-mobility users.
- To address challenges of limited coverage and time-limited links in vehicular VLC.
- To enhance uplink reliability and enable seamless mobility in vehicular VLC networks.
Main Methods:
- Modified traditional VLC network topology to improve uplink reliability.
- Developed and proposed a low-latency handover scheme for vehicular VLC.
- Validated the network design using system-level simulations in a vehicular tunnel scenario.
Main Results:
- The proposed method ensures a steady connection, with vehicular nodes available over 99% of the time.
- Connection stability is maintained regardless of the number of vehicular nodes.
- Achieved a Frame-Error-Rate (FER) below 10-3, demonstrating high communication reliability.
Conclusions:
- The designed vehicular VLC network effectively supports high-mobility users.
- The low-latency handover scheme overcomes limitations of existing VLC handover procedures.
- The system provides robust and reliable wireless communication for intelligent transportation.
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