4 research outputs found
A City-Scale ITS-G5 Network for Next-Generation Intelligent Transportation Systems: Design Insights and Challenges
As we move towards autonomous vehicles, a reliable Vehicle-to-Everything
(V2X) communication framework becomes of paramount importance. In this paper we
present the development and the performance evaluation of a real-world
vehicular networking testbed. Our testbed, deployed in the heart of the City of
Bristol, UK, is able to exchange sensor data in a V2X manner. We will describe
the testbed architecture and its operational modes. Then, we will provide some
insight pertaining the firmware operating on the network devices. The system
performance has been evaluated under a series of large-scale field trials,
which have proven how our solution represents a low-cost high-quality framework
for V2X communications. Our system managed to achieve high packet delivery
ratios under different scenarios (urban, rural, highway) and for different
locations around the city. We have also identified the instability of the
packet transmission rate while using single-core devices, and we present some
future directions that will address that.Comment: Accepted for publication to AdHoc-Now 201
Efficient V2V Communication Scheme for 5G MmWave Hyper-Connected CAVs
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.Comment: To be presented at the IEEE ICC 2018 Workshop - 5G and Cooperative
Autonomous Drivin