  This paper investigates joint antenna selection and optimal transmit power in
multi cell massive multiple input multiple output systems. The pilot
interference and activated transmit antenna selection plays an essential role
in maximizing energy efficiency. We derived the closed-form of maximal energy
efficiency with complete knowledge of large-scale fading with maximum ratio
transmission while accounting for channel estimation and eliminated pilot
contamination when the antennas approach infinity. We investigated joint
optimal antenna selection and optimal transmit power under minimized reuse of
pilot sequences based on a novel iterative low-complexity algorithm for
Lagrange multiplayer and Newton methods. The two scenarios of achievable high
data rate and total transmit power allocation are critical to the performance
maximal energy efficiency. We propose new power consumption for each antenna
based on the transmit power amplifier and circuit power consumption to analyze
exact power consumption. The simulation results show that maximal energy
efficiency could be achieved using the iterative low complexity algorithm based
on the reasonable maximum transmit power when the noise power was less than the
power received pilot. The proposed low complexity iterative algorithm offers
maximum energy efficiency by repeating a minimized pilot signal until the
optimal antenna selection and transmission power are achieved.
