A survey on improving the wireless communication with adaptive antenna selection by intelligent method

Chien Hsiang Wu, Chin Feng Lai

Research output: Contribution to journalReview articlepeer-review

5 Citations (Scopus)

Abstract

Transmission applications in wireless networks have brought unprecedented demands. The demand for high-performance wireless transmission is increasing day by day. Antenna technology is an indispensable part of the development of wireless communication. One potential solution is to resort t intelligent learning techniques to help breakthroughs in the limited antenna technical field. It is based on an adaptive antenna using intelligent learning. It has laid the foundation for signal strength adjustment to enhance wireless transmission efficiency. This paper evaluates the most advanced literature and techniques. A comprehensive description from different perspectives covers several adaptive antenna structures, including diversity antennas, phased array antennas, and beamforming specific learning methods. After that, this paper divides it into different categories, from intelligent learning algorithms and feature data perspectives in a different light to analyze and discuss. This article expects to help readers understand the latest intelligent technology based on adaptive antennas. Further, it sheds novel light on future research directions to meet the development needs of adaptive antennas for future wireless networks.

Original languageEnglish
Pages (from-to)374-403
Number of pages30
JournalComputer Communications
Volume181
DOIs
Publication statusPublished - 2022 Jan 1

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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