Multiple Access in Cellular V2X: Performance Analysis in Highly Congested Vehicular Networks

Abstract

Vehicle-to-everything (V2X) communication enables vehicles, roadside vulnerable users, and infrastructure facilities to communicate in an ad-hoc fashion. Cellular V2X (C-V2X), which was introduced in the 3 rd generation partnership project (3GPP) release 14 standard, has recently received significant attention due to its perceived ability to address the scalability and reliability requirements of vehicular safety applications. In this paper, we provide a comprehensive study of the resource allocation of the C-V2X multiple access mechanism for high-density vehicular networks, as it can strongly impact the key performance indicators such as latency and packet delivery rate. Phenomena that can affect the communication performance are investigated and a detailed analysis of the cases that can cause possible performance degradation or system limitations, is provided. The results indicate that a unified system configuration may be necessary for all vehicles, as it is mandated for IEEE 802.11p, in order to obtain the optimum performance. In the end, we show the inter-dependence of different parameters on the resource allocation procedure with the aid of our high fidelity simulator.

Spatio-Temporal Dynamics of Cellular V2X Communication in Dense Vehicular Networks

“…In this article, which supplements our previous work [14], [15], we investigate the spatial and temporal characteristics of the C-V2X communication with and without enabling the distributed congestion control (DCC) mechanism, as suggested in [16]. This study helps us to further understand the effectiveness and capabilities of C-V2X in the context of safetycritical vehicular applications.…”

“…In this work we are aiming to provide a new pointof-view, compared to the existing studies which study the performance of C-V2X communication. These works mainly evaluate the performance [10], [15], [22] and scalability [14] of V2X systems in terms of network-level key performance indicators (KPIs), e.g., packet error rate, inter-packet gap, network throughput, and information age. However, in the context of vehicular safety applications we are specifically interested to investigate how fast the nodes are able to adapt to a dynamic environment and how reliable is the communication with vehicles in their close proximity.…”

“…The design rationale behind the multiple access mechanism employed in C-V2X Communication, i.e., SB-SPS, is to sense and keep a history of the communication channel and utilize it to avoid conflicts, e.g., packet collision among nodes in close proximity. This purpose is realized through exempting radio resources with high received signal strength, as described in [15], [24], from the resource pool of every UE. In the case of baseline operation, where all UEs transmit their packets with a constant radiated power, the mapping between the received signal strength (RSS) and distance of the transmitter depends on the characteristics of the radio propagation medium, mostly referred to as the propagation channel model.…”

Controlling Steering Angle for Cooperative Self-driving Vehicles utilizing CNN and LSTM-based Deep Networks

“…Modern wireless technology allows us to share data between vehicles at high bitrates of up to Gbits/s (e.g., in peerto-peer and line-of-sight mmWave technologies [24], [25]). Such communication links can be utilized to share images between vehicles for improved control.…”

Real-Time Hardware-In-the-Loop Emulation Framework for DSRC-Based Connected Vehicle Applications

“…Specifically, the connected vehicle technology has provided a medium for the development of potential cooperative safety-enhancing solutions. Connected vehicle applications employ communication technologies such as Dedicated Short-Range Communications (DSRC) [1] and Cellular Vehicle-to-everything (C-V2X) [2], [3] to disseminate information for situational awareness in a cooperative manner [4]. This shared information can be utilized for Cooperative Vehicle Safety (CVS) applications and enabling cloud-based services among the vehicles in a vehicular ad-hoc network (VANET).…”