A Price-based D2D Resource Allocation Scheme in Smart Manufacturing Scenarios

Abstract Smart Manufacturing has become a popular topic due to the growth of Internet of Things (IoT) and Cloud Manufacturing, which is driving traditional manufacturing companies to migrate towards digitization and intelligence. Device to Device (D2D) facilitates communication between terminal devices and improves output and operational efficiency. Firstly, by using the utility theory of microeconomics, this paper constructs a novel utility-oriented resource allocation model and addresses the resource allocation problem for D2D communication. This paper also proposes an interesting price-based resource allocation scheme along with an improved gradient descent method and proves the stability of the price-based resource allocation technique based on the Lyapunov stability theory. The simulation results demonstrate that the two proposed algorithms can achieve the equilibrium which is also the optimum of the resource allocation model, and that the gradient descent method is outperformed by the price-based mechanism method in terms of stability and convergence speed.