Joint Optimization of Transmission and Computing Resource in IRS-Assisted Mobile Edge Computing System

In the power grid networks, mobile edge computing (MEC) is a critical technology to improve processing capacity and real-time business processing while Intelligent Reconfigurable Surface (IRS) is a promising approach which can effectively improve the propagation environment. This paper considers an IRS-assisted MEC system, which minimizes the transmission energy consumption of Base Station (BS) and mobile devices (MDs) by jointly optimizing the transmission power of MDs, the receiving beamforming vector of BS, computing resource allocation, and the phase shift of IRS. The computation resource allocation and phase shift are optimized by using quadratic transformation and Lagrange dual transformation while the transmitted power of MDs is optimized by using Difference of Convex function Algorithm (DCA). Simulation results verify the effectiveness of the optimization method and the IRS-assisted MEC system.