Energy-Efficient Power Control for Wireless Interference Networks

In this paper, we address the power control problem in an interference network with multiple users transmitting simultaneously on the same channel. We aim at achieving the energy efficiency (EE) balance among difference users. First, a multi-objective optimization problem is formulated, which maximizes the EE of each individual user while guaranteeing their minimum data rate requirements. To find its solution, we adopt two different scalarization methods to combine multiple objectives into a single one, namely, the weighted-sum method and the weighted Tchebycheff method. The problem in the weighted-sum method turns out to be a non-concave sum of- ratios optimization and an effective algorithm is developed based on the concave-convex procedure (CCCP) method. On the other hand, the problem in the weighted Tchebycheff method becomes a generalized fractional programming and we utilize the Dinkelbach method and the CCCP method to solve it. Through numerical simulation, we find that both methods can effectively obtain the Pareto optimal solutions to the multiobjective optimization problem and achieve the EE balance among users as well.