Energy-efficient and joint optimal power allocation for distributed antennas in massive MIMO systems

Distributed massive multi-input, multi-output (MIMO) is an exciting area and an important technique for fifth-generation wireless networks, which support high data rate traffic. We study circuit power consumption under power constraints using the distributed massive antenna system, which mitigates path loss and reduces noise amplifier and low complexity power. In this paper, we will investigate the optimal power allocation by utilizing the massive distributed antenna system to optimize power in the closed form under constrained power. Increased transmission data to every active user must be proportional with signal-to-interference noise ratio and high channel gain, and using multiple low-power antennas can reduce power consumption and improve energy efficiency. Consequently, the analysis and simulation results show that the maximal energy efficiency can be improved depending on optimal low-complexity power allocation with a single active user and by using a large number of distributed antennas inside every cluster.