Energy efficient scheduling for IoT applications with offloading, user association and BS sleeping in ultra dense networks

In this paper, we propose MIU, a novel mobile edge computing framework for iot applications in ultra dense networks, via the control of the macro base station. We present a comprehensive framework model, and formulate a joint task offloading, user association and small base station sleeping problem, aiming at minimizing the energy consumptions of network-wide IoT devices and total SBSs while respecting a series of practical constraints. We design an efficient algorithm by invoking dual-decomposition and subgradient method to solve the formulated mixed-integer quadratic programming problem. Extensive simulation results show that our proposed algorithm achieves better performance in energy consumption than several benchmark schemes.