Sparse Array for Beamforming in Wireless Communication Systems
This article is part of Special Issue:
Oscar Ossa-Molina,
Juan Felipe Guerra,
Andrés Felipe Betancur,
Corresponding Author
Oscar Ossa-Molina
Department of Electronics and Telecommunications , School of Engineering , Institución Universitaria ITM , Medellín , Colombia
Search for more papers by this authorJuan Felipe Guerra
Department of Electronics and Telecommunications , School of Engineering , Institución Universitaria ITM , Medellín , Colombia
Search for more papers by this authorAndrés Felipe Betancur
Department of Electronics and Telecommunications , School of Engineering , Institución Universitaria ITM , Medellín , Colombia
Search for more papers by this authorOscar Ossa-Molina,
Juan Felipe Guerra,
Andrés Felipe Betancur,
Corresponding Author
Oscar Ossa-Molina
Department of Electronics and Telecommunications , School of Engineering , Institución Universitaria ITM , Medellín , Colombia
Search for more papers by this authorJuan Felipe Guerra
Department of Electronics and Telecommunications , School of Engineering , Institución Universitaria ITM , Medellín , Colombia
Search for more papers by this authorAndrés Felipe Betancur
Department of Electronics and Telecommunications , School of Engineering , Institución Universitaria ITM , Medellín , Colombia
Search for more papers by this authorFirst published: 29 March 2025
Academic Editor: A. S. Madhukumar
Abstract
The usefulness of smart antennas lies in enhancing the received signal from a particular direction while suppressing unwanted interfering signals and noise from other directions. This process is known as beamforming. In this paper, we study beamforming using different antenna array geometries to improve performance. We explore sparse arrays, including coprime and nested arrays, and employ a beamforming technique. The design of the antenna elements includes a half-wavelength dipole and a rectangular patch antenna. Crucial array parameters such as the envelope correlation coefficient, spatial gain diversity, and mutual coupling are evaluated. The array pattern after beamforming is presented for each array antenna, and it was demonstrated that the sparse array achieves superior results compared to the uniform linear array. This work contributes to the intelligent management of the wireless channel, addressing requirements such as higher capacity, frequency reuse, low delay, and reliability in new mobile technologies such as 5G and beyond.
Conflicts of Interest
The authors declare no conflicts of interest.
Open Research
Data Availability Statement
Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.
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