Abstract
Recently, massive multiple input multiple output (MIMO) is considered as a promising technology to significantly improve the spectral efficiency (SE) and energy efficiency (EE) of fifth generation (5G) networks. Effective control of the transmit power and other network resources helps to maximize energy efficiency of massive MIMO systems. In this work, an energy efficient power control algorithm is proposed for uplink massive MIMO systems with zero forcing (ZF) detection and imperfect channel state information (CSI) at a base station (BS). By using large system analysis, we first derive closed-form lower bound spectral efficiency expression. Then, by utilizing methods from fractional programming theory, an energy efficient power control algorithm is derived. Numerical results validate the effectiveness of the proposed power control algorithm and show the impacts of maximum transmitter power and minimum rate constraints on energy efficiency maximization.
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