Implementation and Enabling Artificial Intelligence in Wireless Communication Networks

The long-term adaptation of a multi-input multi-output (MIMO) antenna enabling 5^th generation (5G) wireless networks is proposed in this study using artificial intelligence (AI). The monopole-antenna combined with the swappable design mechanism is described in this study. The long-term development-centered MIMO antenna is configured with 4 antennas and is proficient in offering 4 simultaneous datasets, quadrupling the conceptual optimum data throughput, and enabling the ground station to transfer 4 main signals via 4 distinct transmission antennas for specific user hardware. When utilized in conjunction with 5G wireless communication networks, the long-term development of MIMO is intended to employ multi-trial streaming to deliver improvements in signal efficiency, throughput, and spectrum effectiveness. Consequently, the research suggests a long-term development of MIMO 4 transmission antennae having 4 different signal transmitting capacities that operate at a 3.501 Gigahertz frequency. To determine the capability of passive transportation of the numerous antennas employing the varied collection of trends, the laid-out architecture is assessed utilizing a MIMO signal analyzer. The results were found to allow the AI antenna of a wireless communication network to decide which antenna should be implemented in different situations to increase throughput, signal efficiency, and data transmission rate.