Upgraded-ABC Algorithm for Antenna Selection in Energy Efficient Massive MIMO System

Massive MIMO (mMIMO) technology adopted by the fifth generation mobile communication systems and beyond offers high reliability, spectral and energy efficiencies thanks to the big size of antenna and the exploitation of the potential of spatial multiplexing. Increasing the antenna size implies a comparable increase in the Radio Frequency (RF) components number connected to each antenna which involves low energy efficiency due to the high power consumption. Hence, antenna selection aims at reducing this consumption through designating a qualified subset of antennas from the total available ones while maintaining better performance. We compare in this paper three improved versions of Artificial Bee Colony optimization algorithm to identify the set (antenna number, terminal number) that maximizes the relative energy efficiency in a mMIMO system. Upgraded-ABC version has shown high performance compared to the Gbest-guided ABC, 3G-ABC and the original ABC in terms of robustness and time cost.