Antenna Design Optimization Using Evolutionary and Swarm Intelligence Algorithms

Abstract

Antenna systems are critical components in satellite and wireless communication systems. Antennas are the first elements in the radio frequency (RF) front-end in wireless communication systems, telemetry/telecommand units, remote sensing instruments, radars as well as positioning modules. Reconfigurable intelligent reflecting antenna arrays are emerging as key enabling technology to fulfill the requirements of next generation communication systems. Reconfigurable reflecting arrays are passive/nearly passive structures consisting of reflecting antenna elements which could be controlled intelligently to manipulate the radio link in the application environment. Typically, the reflecting antenna arrays do not have radio frequency chains (e.g., amplifiers, mixers, etc.), and therefore, they offer distinct advantage over the conventional active antenna arrays in terms of power consumption as well as complexity. It has been demonstrated recently that these reflecting configurable arrays can be employed effectively to improve the performance of future communication networks which are intended to operate over complex propagation environments. However, due to the complex dynamic environment and large number of control variables (degrees of freedom), it is usually less tractable to optimize the reflecting antenna parameters to yield teh optimum RF link performance using the traditional deterministic approaches. To address this challenges, it is proposed in this project to devise evolutionary and swarm intelligence algorithms to optimize the performance of reconfigurable intelligent antennas. By the end of this project, it is expected to demonstrate a proof-of-concept prototype consisting of one-dimensional reconfigurable intelligent structure. This proposal provides the background, problem statement, objectives, methodology, and work plan.

Date of Award	20 Dec 2023
Original language	American English
Supervisor	Mohammed Abou Khousa (Supervisor)