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JCR Impact Factor: 0.595
JCR 5-Year IF: 0.661
Issues per year: 4
Current issue: May 2017
Next issue: Aug 2017
Avg review time: 76 days


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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LATEST NEWS

2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

2017-Apr-04
We have the confirmation Advances in Electrical and Computer Engineering will be included in the EBSCO database.

2017-Feb-16
With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

2017-Jan-30
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2016-Dec-17
IoT is a new emerging technology domain which will be used to connect all objects through the Internet for remote sensing and control. IoT uses a combination of WSN (Wireless Sensor Network), M2M (Machine to Machine), robotics, wireless networking, Internet technologies, and Smart Devices. We dedicate a special section of Issue 2/2017 to IoT. Prospective authors are asked to make the submissions for this section no later than the 31st of March 2017, placing "IoT - " before the paper title in OpenConf.

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  1/2016 - 9

Power Performance Enhancement of Underlay Spectrum Sharing in Cognitive Radio Networks Using ESPAR Antenna

ABDALRAZIK, A. See more information about ABDALRAZIK, A. on SCOPUS See more information about ABDALRAZIK, A. on IEEExplore See more information about ABDALRAZIK, A. on Web of Science, SOLIMAN, H. See more information about  SOLIMAN, H. on SCOPUS See more information about  SOLIMAN, H. on SCOPUS See more information about SOLIMAN, H. on Web of Science, ABDELKADER, M. See more information about ABDELKADER, M. on SCOPUS See more information about ABDELKADER, M. on SCOPUS See more information about ABDELKADER, M. on Web of Science
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,265 KB) | Citation | Downloads: 250 | Views: 889

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
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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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Copyright ©2001-2017
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

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