Distributed and Scalable Radio Resource Management for mmWave V2V Relays towards Safe Automated Driving

Area of Science:

• Electrical Engineering
• Computer Science
• Transportation Systems

Background:

• Millimeter-wave (mmWave) Vehicle-to-Vehicle (V2V) communication systems are crucial for enhancing vehicular safety and extending sensor perception.
• Co-channel inter-link interference poses a significant challenge to the scalability of mmWave V2V networks.

Purpose of the Study:

• To analyze the data rate requirements for maneuver safety in mmWave V2V relays during overtaking scenarios.
• To propose a novel distributed radio resource management scheme to overcome interference limitations in mmWave V2V communications.

Main Methods:

• Analysis of data rate requirements for safe maneuvering in overtaking scenarios.
• Development of a distributed radio resource management scheme integrating spatial, frequency, and power domains.
• Utilization of ZigZag antenna configuration for short-range interference mitigation.
• Alternating resource block allocation and transmit power control for long-range interference mitigation.

Main Results:

• The proposed scheme effectively mitigates co-channel inter-link interference in mmWave V2V systems.
• Achievable End-to-End (E2E) throughput consistently exceeds the required data rate for all vehicles.
• The system demonstrates effectiveness in scalable mmWave V2V topologies.

Conclusions:

• The developed distributed radio resource management scheme is effective for scalable mmWave V2V communications.
• The integrated approach in spatial, frequency, and power domains successfully addresses interference challenges.
• Enhanced vehicular safety is achievable through high and reliable data rates in mmWave V2V systems.