Performance Improvement in Cellular V2X (CV2X) by Using Massive MIMO Jacobi Detector

Cellular Vehicle-to-Everything (CV2X) has recently piqued the interest of both industry and academia. CV2X extends communication coverage by using the cellular infrastructure as a standard for vehicular communication. CV2X also enables the communication between vehicles and pedestrians, vehicles and the cellular network, along with vehicle to vehicle communication. The CV2X standard's expectations are gradually rising as the number of vehicles, cell phone users, smart devices connected to vehicles, and other factors increase. A more efficient CV2X framework is needed to fulfill these expectations. We focused on the PHY layer of the CV2X standard and proposed a model featuring Massive MIMO Jacobi Detection algorithm. Our experimental results suggest that our proposed model is able to improve reliability by reducing the bit error rate compared to the existing PHY layer framework. In addition, our proposed model can increase the throughput up to 3 times and reduce the computational complexity up to 93.2% compared to the existing signal detection and equalization algorithm.