Abstract: In order to improve spectral efficiency and system energy efficiency of device-to-device（D2D） networks in power IoT, a robust energy-efficient maximization resource allocation algorithm is proposed under the consideration of the influence of imperfect channel state information（CSI）. Considering the maximum transmit power constraint of D2D user, the cellular user power constraint and the co-channel interference power constraint, an uplink transmission resource allocation model is formulated for hybrid cellular/D2D communications with underlay frequency spectrum sharing. Based on the outage interference constraint of cellular user, the formulated non-convex optimization problem is converted into a convex one by using the mini-max probability machine and the auxiliary variable method. The analytical solutions of robust resource allocation problem are obtained by convex optimization theory. Simulation results show the proposed algorithm can improve system energy efficiency by 2%.