User-oriented Green Computation in Small Cell Networks with Mobile Edge Computing

Mobile edge computing (MEC) is significant in reducing the energy consumption of user equipment (UE), since the computation task can be transferred to MEC server through offloading. However, conventional offloading only considered the scenario in which the MEC server is integrated with macro base station. In this paper, we investigate the energy consumption of the UE for small cell networks integrated with MEC. The problem is firstly formulated as a mixed integer nonlinear programming. Through variable and problem transformation, it is decomposed by the alternating direction method of multipliers. And then, a greedy scheme is proposed to solve the integer optimization. On the basis of that, a distributed green offloading algorithm is proposed. Simulation results show that the proposed scheme can converge to the suboptimal solution, with slight gap comparing with the optimal one.