Toward Throughput Optimization: A Congestion Control Scheme for CAM Delivery via NR Sidelink

In the New Radio (NR) Vehicle-to-Everything (V2X), congestion control is adopted to reduce channel occupancy and improve delivery performance. However, most existing congestion control schemes decide to adjust the number of messages while ignoring the throughput requirements, which may lead to serious traffic accidents due to the loss of information. In light of this, we investigate the performance of Cooperative Awareness Messages (CAMs) delivery via NR sidelink under different congestion control configurations, including the modulation and coding scheme, the semi-persistent scheduling based resource allocation, as well as the CAM transmission period. Specifically, taking into account these configurations, we develop a theoretical framework to capture two metrics of CAM delivery, namely the effective throughput and the channel busy ratio, based on the stochastic geometry approach. With the help of this framework, we propose the CC-(m,n,τ) scheme, which is able to optimize the two metrics simultaneously by properly tuning the parameters m, n, and τ. Extensive numerical results show that the proposed scheme is highly beneficial for efficient and reliable CAM delivery via NR sidelink, particularly in scenarios with high vehicle densities.