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Power Performance Enhancement of Underlay Spectrum Sharing in Cognitive Radio Networks Using ESPAR AntennaABDALRAZIK, A. , SOLIMAN, H. , ABDELKADER, M. |
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Author keywords
antenna arrays, antenna radiation patterns, cognitive radio, MATLAB, multipath channels
References keywords
antennas(10), communications(9), antenna(8), radio(7), beamforming(7), cognitive(6), single(5), propagation(5), papadias(5), networks(5)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2016-02-28
Volume 16, Issue 1, Year 2016, On page(s): 61 - 68
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2016.01009
Web of Science Accession Number: 000376995400009
SCOPUS ID: 84960098493
Abstract
Electronically-steerable parasitic array radiator (ESPAR) antenna is a promising antenna array configuration. It offers lower power consumption, lower cost, lower hardware complexity, and smaller size as compared to classical antenna arrays configurations. Meanwhile it is able to support important communication techniques such as beamforming and diversity. In this paper, we propose a transmitter ESPAR antenna system where symbols are transmitted over switchable beampatterns of the antenna in order to enhance the power performance of underlay spectrum sharing in cognitive radio networks compared to previously proposed transmitter systems. We study the performance of two different pattern shapes of ESPAR antenna to choose the appropriate one for underlay spectrum sharing. We show through simulation that the ESPAR antenna can offer a better power performance than a classical circular antenna array (CAA) of the same size and comparable number of elements. In addition, the ESPAR antenna can preserve its good performance with small spacing between elements, whereas the classical CAA's performance severely degrades. |
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[1] Fuzzy Hypothesis Test for Cognitive Radios, ILGIN, Fatih Yavuz, Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi, ISSN 2149-4584, Issue 1, Volume 14, 2021.
Digital Object Identifier: 10.18185/erzifbed.734998 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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