Hybrid Optimization Assisted Transmit Antenna Selection for Massive MIMO Technology.

MIMO (Multi-input, Multi-output) systems are a key technology for achieving 5G wireless communications’ performance goals. They achieve significant levels of various acquisition, consistency, and efficiency. Nonetheless, for more transmit antennas; more radio frequency (RF) chains are necessary, which may result in increased computational complexity and expenses. As a result, selecting the optimal transmit antennas is critical for improving system performance. This paper offers a new Fitness-based Elephant Herding Algorithm (F-EHA) for selecting the optimal broadcast antenna by specifying many criteria such as secrecy rate and efficiency. In addition, the system provides a recommendation for which antenna to use. Finally, the suggested model’s advantage over existing techniques in terms of EE (Energy Efficiency) and secrecy rate is demonstrated.