Abstract
Massive multiuser multi-input multi-output (MU-MIMO) system adopting large amount of antennas is a promising technique to improve spectral efficiency and energy efficiency for next generation wireless communication systems. In practice, the channels composed of pairs of transmit and receive antennas are often correlated and computational complexity is one of the critical concern in implementation issue. Hence, antenna selection techniques can be adopted to improve system performance. In this paper, we propose a norm-and-correlation-based selection algorithm for energy efficiency maximization to decide transmit RF chain configuration under the total power constraint in massive MU-MIMO systems.