A Comparative Literature Review of Multi-Beam and Adaptive Array Antennas

Joshua Kyle D. Beltran; Joanna Rose V. Buenaventura; Azalea G. Gilongos; Edwin R. Arboleda

doi:10.20944/preprints202405.1590.v1

Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 9 May 2024 / Approved: 23 May 2024 / Online: 24 May 2024 (08:05:52 CEST)

The application of adaptive antennas in wireless communication systems is examined in this review of the literature, with particular attention to how well they can transmit and receive signals by dynamically adjusting radiation patterns. The review covers a range of artificial intelligence (AI) approaches that have been used to enhance adaptive antenna performance in beamforming, channel estimation, interference mitigation, and spectrum utilization. Although adaptive antennas have the potential to improve wireless communication systems, the paper also discusses their limitations, including computational complexity, interference sensitivity, and the significance of precise channel state information (CSI) estimates.

Artificial Intelligence; wireless communication; spectrum; interference; beamforming

Engineering, Telecommunications

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A Comparative Literature Review of Multi-Beam and Adaptive Array Antennas

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