Modulation and Coding Scheme Selection Algorithm for 5G V2X Platoon Scenarios

The deployment of autonomous vehicles is a key driver in the development of intelligent transportation systems. One of the most relevant cases of utilization of autonomous vehicles is the vehicle platooning aimed at improving road safety and road infrastructure utilization. To coordinate platoon members using wireless communication, the 3GPP consortium develops the 5G Vehicle-to-Everything (V2X) technology. A key challenge in 5G V2X networks is the selection of transmission parameters, including the Modulation and Coding Scheme (MCS), to meet the strict latency and reliability requirements. This study proposes an adaptive MCS selection algorithm based on estimating the packet loss probability for different available MCSs. It is shown using the ns-3 simulation that the adaptive algorithm provides the network capacity close to the upper bound achievable by an exhaustive search over available MCSs. Furthermore, the proposed adaptive algorithm increases the network capacity by up to 180% as compared with the state-of-the-art algorithms.