The invention provides an Internet of Vehicles DNN collaborative reasoning method based on a rate splitting multiple
access technology. The method comprises the following steps: S1, establishing an
edge computing system model; s2, establishing a communication model; s3, based on a rate splitting multiple access strategy, a road side unit RSU divides the information sent to each group of vehicles into a public flow and a private flow, and distributes a
precoding matrix for each group; s4, in combination with a given DNN partition strategy and an RSU computing
resource allocation method, calculating the communication rate received by each vehicle by using a continuous convex
approximation algorithm; s5, on the basis of the communication rate and RSU computing resources, constructing a
directed acyclic graph model of a DNN reasoning task, expanding the model into a network flow graph, and performing task partitioning on the model by adopting a
genetic algorithm to minimize reasoning time
delay to obtain a corresponding edge-vehicle partition node set; s6, converting an
optimization problem into a KKT condition, and solving an optimal allocation scheme of RSU computing resources; and S7, repeating the steps from S4 to S6, and carrying out iterative updating to obtain an optimal solution of the
system.