7 research outputs found
Spatio-temporal Dynamics of Cellular V2X Communication in Dense Vehicular Networks
Cellular Vehicle-to-everything (C-V2X) communication is a major V2X solution
proposed and developed by the 3rd Generation Partnership Project (3GPP). Our
previous work has studied scalability aspects of C-V2X and demonstrated its
potential for accommodating large numbers of vehicles in dense vehicular
scenarios. However, existing studies in the scientific literature mostly have a
network-level approach to the problem and do not assess the temporal and
spatial dynamics of C-V2X networks in heavy network load situations. In this
work we shed light on the spatio-temporal characteristics of these networks and
investigate the effectiveness of the congestion control algorithm in dense
vehicular ad-hoc networks (VANETs) in terms of settling time, stability, and
reliability to be employed for the purpose of safety-critical vehicular
applications, where latency plays a major role.Comment: Accepted to 2019 IEEE Connected and Automated Vehicles Symposium
(IEEE CAVS-2019
A Maneuver-based Urban Driving Dataset and Model for Cooperative Vehicle Applications
Short-term future of automated driving can be imagined as a hybrid scenario
in which both automated and human-driven vehicles co-exist in the same
environment. In order to address the needs of such road configuration, many
technology solutions such as vehicular communication and predictive control for
automated vehicles have been introduced in the literature. Both aforementioned
solutions rely on driving data of the human driver. In this work, we
investigate the currently available driving datasets and introduce a real-world
maneuver-based driving dataset that is collected during our urban driving data
collection campaign. We also provide a model that embeds the patterns in
maneuver-specific samples. Such model can be employed for classification and
prediction purposes.Comment: Accepted to IEEE Connected and Automated Vehicle Symposium (IEEE CAVS
2020
Analysis of Distributed Congestion Control in Cellular Vehicle-to-everything Networks
Cellular Vehicle-to-everything (C-V2X) communication has been proposed in the
3rd Generation Partnership Project release 14 standard to address the latency
and reliability requirements of cooperative safety applications. Such
applications can involve highly congested vehicular scenarios where the network
experiences high data loads. Thus, a sophisticated congestion control solution
is vital in order to maintain the network performance required for
safety-related applications. With the aid of our high-fidelity link-level
network simulator, we investigate the feasibility of implementing the
distributed congestion control algorithm specified in SAE J2945/1 standard on
top of the C-V2X stack. We describe our implementation and evaluate the
performance of transmission rate and range control mechanisms using relevant
metrics. Additionally, we identify areas for potential design enhancements and
further investigation.Comment: Accepted in IEEE Vehicular Technology Conference (IEEE VTC-fall2019
Congestion Control in the Cellular-V2X Sidelink
This paper presents a detailed quantitative evaluation of standardised
Decentralised Congestion Control (DCC) and packet dropping mechanisms for
Cellular V2X (C-V2X). Based on the identified shortcomings, an Access layer DCC
scheme, RRI adaptive, is then proposed. RRI adaptive accommodates the sidelink
scheduling mechanism Sensing Based Semi-Persistent Scheduling (SB-SPS),
eliminating incompatibilities between current standards and the scheduling
mechanism, to avoid unnecessary and reoccurring collisions. Two variants are
proposed; one is an evolution of the ETSI Reactive DCC mechanism and the other
aligns with the 3GPP approach based on channel occupancy ratio (CR). Both
approaches are compared with current ETSI and 3GPP standards and exhibit
improved performance. An evaluation of existing DCC standards and RRI Adaptive
to meet the Quality of Service (QoS) requirements of vehicular cooperative
awareness applications is also conducted.Comment: 8 Pages, 7 Figures, 6 Table
Performance Analysis of Cellular-V2X with Adaptive and Selective Power Control
LTE based Cellular Vehicle-To-Everything (C-V2X) allows vehicles to
communicate with each other directly without the need for infrastructure and is
expected to be a critical enabler for connected and autonomous vehicles. V2X
communication based safety applications are built on periodic broadcast of
basic safety messages with vehicle state information. Vehicles use this
information to identify collision threats and take appropriate countermeasures.
As the vehicle density increases, these broadcasts can congest the
communication channel resulting in increased packet loss; fundamentally
impacting the ability to identify threats in a timely manner. To address this
issue, it is important to incorporate a congestion control mechanism.
Congestion management scheme based on rate and power control has proved to be
effective for DSRC. In this paper, we investigate the suitability of similar
congestion control to C-V2X with particular focus on transmit power control. In
our evaluation, we include periodic basic safety messages and high priority
event messages that are generated when an event such as hard braking occurs.
Our study reveals that while power control does not improve packet delivery
performance of basic safety messages, it is beneficial to high priority event
message delivery. In this paper, we investigate the reasons for this behavior
using simulations and analysis.Comment: 7 pages, 7 figures, accepted in IEEE CAVS 202
A Vehicle Transmission Scheduling Scheme for Supporting Vehicle Trust Management
Recent developments in advanced sensors, wireless communications and
intelligent vehicle control technologies have enabled vehicles to detect
traffic anomalies on the road and then notify surrounding vehicles to improve
traffic safety. However, due to the high-speed movement of vehicles and the
frequent topological changes between vehicles, it is difficult for vehicles to
evaluate the credibility of received messages. Quite a lot of research effort
has been carried out to establish various trustworthiness platforms. These
studies mostly focus on how to enhance the accuracy of credibility evaluation,
overlooking that the transmission performance may affect the quality of vehicle
messages. In this paper, we aim to support the improvement of credibility
evaluation in vehicle networks by enhancing the transmission experience of
vehicles. The proposed solution utilizes the vehicle's trajectory information,
detection range and a roadside unit (RSU) coverage to form a controlled number
of detection zones, which guarantees that events can be detected and reported
while limiting the number of transmission vehicles. Furthermore, our scheme
takes account of vehicle credibility and interference ranges when selecting
reporting vehicles, supporting the timely and reliable delivery of vehicles'
event reports when accidents occur. Our ns2 evaluation shows that our scheme
can greatly reduce delay and loss rates of vehicle messages to help existing
studies on accurate vehicle credibility evaluation
RVE-CV2X: A Scalable Emulation Framework for Real-Time Evaluation of CV2X-Based Connected Vehicle Applications
Vehicle-to-Everything (V2X) communication has become an integral component of
Intelligent Transportation Systems (ITS) due to its ability to connect
vehicles, pedestrians, infrastructure, and create situational awareness among
vehicles. Cellular-Vehicle-to-Everything (C-V2X), based on 3rd Generation
Partnership Project (3GPP) Release 14, is one such communication technology
that has recently gained significant attention to cater the needs of V2X
communication. However, for a successful deployment of C-V2X, it is of
paramount significance to thoroughly test the performance of this technology.
It is unfeasible to physically conduct a V2X communication experiment to test
the performance of C-V2X by arranging hundreds of real vehicles and their
transceiving on-board units. Although multiple simulators based on frameworks
such as NS-3, OMNET++ and OPNET have proven to be reliable and economic
alternatives to using real vehicles, all these simulators are time-consuming
and require several orders of magnitudes longer than the actual simulation
time. As opposed to physical field- and simulation-based testing, network
emulators can provide more realistic and repeatable results for testing
vehicular communication. This paper proposes a real-time, high-fidelity,
hardware-in-the-loop network emulator (RVE-CV2X) based on C-V2X mode 4 that can
provide scalable, reliable and repeatable testing scenarios for V2X
communication. The accuracy of this emulator is verified by comparing it to an
already validated C-V2X simulator based on the NS-3 framework