Energy Consumption Optimization of Intelligent Reflecting Surface Assisted Mobile Edge Computing

For non-orthogonal multiple access (NOMA) assisted mobile edge computing (MEC) system, intelligent reflecting surface(IRS) is added to the system model, where power, phase shift and time allocation are jointly optimized to decrease the energy consumption of computational offloading. Closed-form expression of the optimal power and time allocation solution is obtained, and optimal phase shift is obtained. Then we can use it to determine whether orthogonal multiple access (OMA), pure NOMA or hybrid NOMA should be used conditions for MEC uninstallation. The simulation results show that the proposed optimization scheme can save the energy consumption of MEC offloading. Compared with the OMA effect, the performance is also improved.