Accepted paper for presentation in AP-S/URSI 2020

Invasive Weed Optimization for Antenna Design: Case of 4G/5G Multi-band Antenna by Mira Bou Saleh, Elias A. Doumith, and RĂ©mi Sarkis.

Abstract: 5G is the latest generation of mobile communication and promises considerably higher data rates, lower latency, and increased number of instantaneous connections. This could not be achieved without the use of antennas that operate on several frequencies including those already-used by the current 4G technology. In this paper, we propose a new approach for the design of 4G/5G antennas based on the Invasive Weed Optimization algorithm. We show that our proposed algorithm outperforms the built-in optimizer of the CST simulator when applied to several 4G/5G antenna designs.