Spectrum Allocation and Computing Resources Optimization for Demand-Side Cooperative Communications in Smart Grid

Abstract

In this paper, we introduce edge computing technologies (ECT) to improve the quality of smart grid demand-side communications and simultaneously optimize bandwidth along with computing power resources, further reducing the costs to the utility company (UC). First, we employ the edge node (EN) with data computing capability as relay, meanwhile, constructing a analytical model of computing resources and bandwidth. Second, the electricity costs is built based on the packet loss model and the regulation errors in direct load control. Then the UC decides the computing resources and the bandwidth for relaying to minimize its total costs, and the EN sets the base price to maximize its profit. Furthermore, we consider the interactions between the UCs and the ENs as a Stackelberg game. Simulation results demonstrate a significant reduction in costs to the utility company and an exaltation in profits of the relays.