Sub-optimal method for non-convex energy efficient optimization of interference-limited system

In recent years, energy consumption of information and communication industry have received more and more attention. But the energy efficient optimization problem of interference-limited system is difficult to solve because it is a non-convex problem. In order to deal with this problem, two sub-optimal algorithms, based on dual theory and differ-concave theory respectively, are proposed in this paper. Under different signal to interference and noise ratio (SINR), there must have one of these algorithms can achieve the energy efficient upper bounder of interference-limited system. Besides the energy efficient performance, the proposed algorithms also have low complexity. the simulation results show that the proposed algorithms can get great convergence property by choosing initial value carefully.