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An Adaptive Approach for the Joint Antenna Selection and Beamforming Optimization

Title:

An Adaptive Approach for the Joint Antenna Selection and Beamforming Optimization

Zilli, Guilherme Martignago ORCID: https://orcid.org/0000-0003-1228-4920, Pitz, Ciro Andre, Batista, Eduardo Luiz Ortiz ORCID: https://orcid.org/0000-0001-5341-8302, Seara, Rui ORCID: https://orcid.org/0000-0002-9046-0646 and Zhu, Wei-Ping ORCID: https://orcid.org/0000-0001-7955-7044 (2019) An Adaptive Approach for the Joint Antenna Selection and Beamforming Optimization. IEEE Access, 7 . pp. 99017-99030. ISSN 2169-3536

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Official URL: http://dx.doi.org/10.1109/ACCESS.2019.2930029

Abstract

Adaptive beamforming techniques are widely known for their capability of leveraging the performance of antenna arrays. The effectiveness of such techniques typically increases as the number of antennas grows. In contrast, computational and hardware costs very often limit the deployment of beamforming in large-scale arrays. To circumvent this problem, antenna selection strategies have been developed aiming to maintain much of the performance gain obtained by using a large array while keeping computational and hardware costs at acceptable levels. In this context, the present paper is dedicated to the development of two new adaptive algorithms for solving the problem of joint antenna selection and beamforming for uplink reception in mobile communication systems. Both algorithms are based on an alternating optimization strategy and are designed to operate with a limited number of radio-frequency chains. The main difference between the proposed algorithms is that the first is formulated by considering the minimum mean-square error (MMSE) criterion, while the second is based on the minimum-variance distortionless-response (MVDR) approach. The numerical simulation results confirm the effectiveness of the proposed algorithms.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Electrical and Computer Engineering
Item Type:Article
Refereed:Yes
Authors:Zilli, Guilherme Martignago and Pitz, Ciro Andre and Batista, Eduardo Luiz Ortiz and Seara, Rui and Zhu, Wei-Ping
Journal or Publication:IEEE Access
Date:2019
Funders:
  • Concordia Open Access Author Fund
  • Brazilian National Council for Scientific and Technological Development
  • Fonds de Recherche du Québec—Nature et Technologies
  • Natural Sciences and Engineering Research Council (NSERC) of Canada
Digital Object Identifier (DOI):10.1109/ACCESS.2019.2930029
Keywords:Adaptive arrays, antenna selection, beamforming, MMSE criterion, MVDR criterion
ID Code:986115
Deposited By: Krista Alexander
Deposited On:21 Nov 2019 20:25
Last Modified:21 Nov 2019 20:25

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