Parameter tuning of Artificial Bee Colony algorithm for energy efficiency optimization in massive MIMO systems

Abstract

Massive MIMO technology employs a large number of antennae at base station (BS). It can bring substantial improvements over conventional point-to-point MIMO by focusing energy into ever smaller regions of space to bring huge improvements in throughput and radiated energy efficiency. However, increasing the number of antennae at BS will automatically leads to additional energy consumption due to RF chains and signal processing circuit. In this study, we attempt to exploit Artificial Bee Colony (ABC) algorithm in optimizing the energy efficiency by finding the suitable combination (antennae size, active users) that maximize the energy efficiency. The best ABC control parameters are determined to attain the maximal energy efficiency.