Collaborative Driving: Learning- Aided Joint Topology Formulation and Beamforming

by   Yao Zhang, et al.

Currently, autonomous vehicles are able to drive more naturally based on the driving policies learned from millions of driving miles in real environments. However, to further improve the automation level of vehicles is a challenging task, especially in the case of multi-vehicle cooperation. In recent heated discussions of 6G, millimeter-wave (mmWave) and terahertz (THz) bands are deemed to play important roles in new radio communication architectures and algorithms. To enable reliable autonomous driving in 6G, in this paper, we envision collaborative autonomous driving, a new framework that jointly controls driving topology and formulate vehicular networks in the mmWave/THz bands. As a swarm intelligence system, the collaborative driving scheme goes beyond existing autonomous driving patterns based on single-vehicle intelligence in terms of safety and efficiency. With efficient data sharing, the proposed framework is able to achieve cooperative sensing and load balancing so that improve sensing efficiency with saved computational resources. To deal with the new challenges in the collaborative driving framework, we further illustrate two promising approaches for mmWave/THz-based vehicle-to-vehicle (V2V) communications. Finally, we discuss several potential open research problems for the proposed collaborative driving scheme.


page 1

page 3

page 4


Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities

The infrastructure-vehicle cooperative autonomous driving approach depen...

INTERNEURON: A Middleware with Multi-Network Communication Reliability for Infrastructure Vehicle Cooperative Autonomous Driving

Infrastructure-Vehicle Cooperative Autonomous Driving (IVCAD) is a new p...

Enable an Open Software Defined Mobility Ecosystem through VEC-OF

OEMs and new entrants can take the Mobility as a Service market (MaaS) a...

4C: A Computation, Communication, and Control Co-Design Framework for CAVs

Connected and autonomous vehicles (CAVs) are promising due to their pote...

Secured and Cooperative Publish/Subscribe Scheme in Autonomous Vehicular Networks

In order to save computing power yet enhance safety, there is a strong i...

mmDrive: mmWave Sensing for Live Monitoring and On-Device Inference of Dangerous Driving

Detecting dangerous driving has been of critical interest for the past f...

Performance Analysis of Urban Mmwave Multi-hop V2V Communications with Shifted-Exponential Distribution Headway

With the emergence of autonomous driving and 5G mobile communication sys...

Please sign up or login with your details

Forgot password? Click here to reset