Performance Analysis of Cellular-V2X with Adaptive and Selective Power Control

TL;DR

This paper evaluates the impact of adaptive and selective power control on LTE-based Cellular-V2X communication, revealing benefits for high-priority message delivery but limited effects on basic safety message performance.

Contribution

It investigates the applicability of congestion control via power adjustment in C-V2X, highlighting its advantages for high-priority messages and analyzing underlying reasons.

Findings

Power control improves high-priority event message delivery.

Power control does not significantly enhance basic safety message performance.

Simulation analysis explains the differential impact of power control.

Abstract

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.