GA-Aided Directivity in Volumetric and Planar Massive-Antenna Array Design
Bruno Felipe Costa, Taufik Abr\~ao

TL;DR
This paper introduces a genetic algorithm-based approach to optimize directivity in volumetric and planar massive-antenna arrays, achieving significant gain improvements over traditional methods.
Contribution
It proposes a new formulation for volumetric array directivity, introduces the OUPA method for low-complexity optimization, and applies GA techniques for enhanced directivity gains.
Findings
GA optimization yields ~3 dBi gain over traditional beamforming for small arrays
GA methods outperform existing directivity techniques in large arrays
OUPA method achieves over 30 dBi directivity in massive MIMO scenarios
Abstract
The problem of directivity enhancement, leading to the increase in the directivity gain over a certain desired angle of arrival/departure (AoA/AoD), is considered in this work. A new formulation of the volumetric array directivity problem is proposed using the rectangular coordinates to describe each antenna element and the desired azimuth and elevation angles with a general element pattern. Such a directivity problem is formulated to find the optimal minimum distance between the antenna elements aiming to achieve as high directivity gains as possible. {An expedited implementation method is developed to place the antenna elements in a distinctive plane dependent on (; ). A novel concept on optimizing directivity for the uniform planar array (OUPA) is introduced to find a quasi-optimal solution for the non-convex optimization problem with low complexity.…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
MethodsGenetic Algorithms
