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This paper investigates joint antenna selection and optimal transmit power inmulti cell massive multiple input multiple output systems. The pilotinterference and activated transmit antenna selection plays an essential rolein maximizing energy efficiency. We derived the closed-form of maximal energyefficiency with complete knowledge of large-scale fading with maximum ratiotransmission while accounting for channel estimation and eliminated pilotcontamination when the antennas approach infinity. We investigated jointoptimal antenna selection and optimal transmit power under minimized reuse ofpilot sequences based on a novel iterative low-complexity algorithm forLagrange multiplayer and Newton methods. The two scenarios of achievable highdata rate and total transmit power allocation are critical to the performancemaximal energy efficiency. We propose new power consumption for each antennabased on the transmit power amplifier and circuit power consumption to analyzeexact power consumption. The simulation results show that maximal energyefficiency could be achieved using the iterative low complexity algorithm basedon the reasonable maximum transmit power when the noise power was less than thepower received pilot. The proposed low complexity iterative algorithm offersmaximum energy efficiency by repeating a minimized pilot signal until theoptimal antenna selection and transmission power are achieved.

Optimal Transmit Power and Antenna Selection to Achieve Energy Efficient and Low Complexity in fifth generation Massive MIMO Systems