Social Spider Optimized Design Configuration of Multiband Reconfigurable Antenna for 5G Applications

Reconfigurable antennas receive more attention for many application due to their special characteristics like polarization diversity, multi band function and steerable diversity. However, reconfigurable antennas are capable of providing single and multiple reconfigurability. Nowadays, there is an increasing demand for multi-service radios for various spectrum standards. Many exiting works have been discussed about the enhancement of multi-band operation in reconfigurable antenna design. Most of them exhibit huge design complexity with high-cost consumption during the design optimization process. Thus, the proposed work uses Social Spider Algorithm for optimizing the design configuration of the reconfigurable antenna. Similarly, the band pass filter used at the feed line of the proposed antenna structure to easily achieve multi-band operation. The proposed design developed in ANSYS HFSS implementation platform and result analysis is performed in terms of bandwidth, VSWR, return loss, radiation pattern, gain, and directivity. The proposed reconfigurable antenna structure achieves 26.75 GHz bandwidth with 9.9 dB total gain and 8.8 dB directivity when comparing with existing works. Thus, the proposed antenna design suitable for 5G application applications by providing multi-band operation like WLAN, UWB, and Wi-Fi.