Efficient V2V Communication Scheme for 5G MmWave Hyper-Connected CAVs
arXiv:1802.10472 · doi:10.1109/ICCW.2018.8403780
Abstract
Connected and Autonomous Vehicles (CAVs) require continuous access to sensory data to perform complex high-speed maneuvers and advanced trajectory planning. High priority CAVs are particularly reliant on extended perception horizon facilitated by sensory data exchange between CAVs. Existing technologies such as the Dedicated Short Range Communications (DSRC) are ill-equipped to provide advanced cooperative perception service. This creates the need for more sophisticated technologies such as the 5G Millimetre-Waves (mmWaves). In this work, we propose a distributed Vehicle-to-Vehicle (V2V) mmWaves association scheme operating in a heterogeneous manner. Our system utilises the information exchanged within the DSRC frequency band to bootstrap the best CAV pairs formation. Using a Stable Fixtures Matching Game, we form V2V multipoint-to-multipoint links. Compared to more traditional point-to-point links, our system provides almost twice as much sensory data exchange capacity for high priority CAVs while doubling the mmWaves channel utilisation for all the vehicles in the network.
To be presented at the IEEE ICC 2018 Workshop - 5G and Cooperative Autonomous Driving
References in corpus (4)
- Decoding Delay Performance of Random Linear Network Coding for Broadcast
- Beyond WYSIWYG: Sharing Contextual Sensing Data Through mmWave V2V Communications
- MmWave System for Future ITS: A MAC-layer Approach for V2X Beam Steering
- High-Speed Data Dissemination over Device-to-Device Millimeter-Wave Networks for Highway Vehicular Communication