Transmit Antenna Selection for Achieving Energy Efficiency in Massive MIMO Based 5G Cellular Network.

In this study, two dynamic algorithms are verified for transmit antenna selection aimed at achieving the energy efficiency in massive MIMO, namely: Random User Selection (RUS) and Maximum Channel Gain (MCG). Massive MIMO setups are investigated over N radio cables via centralized massive base station (BS), which uses RUS and MCG to provide management to U clients. Massive MIMO networks are shown for 8×8, 16×16, 25×25, and 50×50 setups using RUS and MCG. The proficiency of the proposed scheme on setup network has been investigated with RUS and MCG, and then the effect on performance characteristics, such as sumrate, user throughput and energy efficiency has been analyzed. The power efficiency has also been improved by increasing the number of Massive MIMO antennas. Compared to RUS, algorithm MCG provides a better service to users located far from the base station antenna. [ABSTRACT FROM AUTHOR]