  In this paper, we propose a distributed power control algorithm for
addressing the global energy efficiency (GEE) maximization problem subject to
satisfying a minimum target SINR for all user equipments (UEs) in wireless
cellular networks. We state the problem as a multi-objective optimization
problem which targets minimizing total power consumption and maximizing total
throughput, simultaneously, while a minimum target SINR is guaranteed for all
UEs. We propose an iterative scheme executed in the UEs to control their
transmit power using individual channel state information (CSI) such that the
GEE is maximized in a distributed manner. We prove the convergence of the
proposed iterative algorithm to its corresponding unique fixed point also shown
by our numerical results. Additionally, simulation results demonstrate that our
proposed scheme outperforms other algorithms in the literature and performs
like the centralized algorithm executed in the base station and maximizes the
GEE using the global CSI.
