Intelligent Reflecting Surface Assisted Mobile Edge Computing for Internet of Things

This letter studies the impact of an intelligent reflecting surface (IRS) on computational performance in a mobile edge computing (MEC) system. Specifically, access point (AP) equipped with server provides MEC services to multiple Internet Thing (IoT) devices that choose offload portion their own tasks AP remaining being locally computed. We deploy IRS enhance system by intelligently adjusting phase shift each element. A joint design problem is formulated for considered assisted system, aiming optimize its sum bits and taking into account CPU frequency, offloading time allocation, transmit power device as well shifts IRS. To deal non-convexity problem, we conduct our algorithm finding optimized first then achieving jointly optimal solution allocation considering Lagrange dual method Karush-Kuhn-Tucker (KKT) conditions. Numerical evaluations highlight advantage IRS-assisted comparison benchmark schemes.