Design Optimization of Antennas

Dear Colleagues,

To meet the needs of emerging application areas such as 5G wireless communications, the Internet of Things (IoT), medical imaging, remote sensing, space communications, or wearable/implantable devices, contemporary antenna systems have reached a high level of sophistication. The design of complex structures involves the adjustment of antenna topology but also meticulous tuning of geometry and material parameters. Practical realization of these tasks necessarily involves numerical optimization procedures, yet it is a challenging endeavor, partly due to the high CPU cost entailed by massive electromagnetic (EM) simulations (otherwise necessary to ensure reliability), but also resulting from the necessity of handing multiple performance figures and constraints.

Over the recent years, considerable research efforts have been directed toward the development of techniques that alleviate the difficulties pertinent to EM-driven antenna optimization, both in the context of computational efficiency and reliability. Apart from improvements concerning conventional methods, a number of algorithmic tools and concepts have been incorporated into antenna design frameworks, including adjoint sensitivities, topology optimization, surrogate modeling, and machine learning approaches, to mention a few.

In this Special Issue, we invite the scientific community to publish works highlighting recent advancements in simulation-based optimization of antenna systems.

The topics of interest include but are not limited to:

• Simulation-driven antenna optimization;
• Optimization using adjoint sensitivities;
• Variable-fidelity antenna optimization;
• Physics-based and data-driven modeling for antenna design;
• Multiobjective design methods;
• Global optimization methods;
• Nature-inspired antenna optimization techniques;
• Surrogate-assisted antenna optimization;
• Inverse modeling techniques for antenna design;
• Uncertainty quantification of antenna structures;
• Yield-driven design;
• Neural network approaches;
• Space-mapping-based techniques;
• Optimization-based pattern synthesis of antenna arrays;
• Optimization of frequency selective surfaces;

Prof. Dr. Sławomir Kozieł
Dr. Anna Pietrenko-Dabrowska
Guest Editors

Manuscript Submission Information

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• Simulation-driven antenna optimization
• Optimization using adjoint sensitivities
• Variable-fidelity antenna optimization
• Physics-based and data-driven modeling for antenna design
• Multiobjective design methods
• Global optimization methods
• Nature-inspired antenna optimization techniques
• Surrogate-assisted antenna optimization
• Inverse modeling techniques for antenna design
• Uncertainty quantification of antenna structures
• Yield-driven design
• Neural network approaches
• Space-mapping-based techniques
• Optimization-based pattern synthesis of antenna arrays
• Optimization of frequency selective surfaces