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JCR Impact Factor: 0.650
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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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2019-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2018. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.650, and the JCR 5-Year Impact Factor is 0.639.

2018-May-31
Starting today, the minimum number a pages for a paper is 8, so all submitted papers should have 8, 10 or 12 pages. No exceptions will be accepted.

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  3/2019 - 11

Estimation of Spatial Channel Model in a Wireless Ultra-Wide-Area Backhaul Network using the Deterministic Ray Tube Method

YUN, D. See more information about YUN, D. on SCOPUS See more information about YUN, D. on IEEExplore See more information about YUN, D. on Web of Science, KIM, Y. See more information about  KIM, Y. on SCOPUS See more information about  KIM, Y. on SCOPUS See more information about KIM, Y. on Web of Science, JUNG, I. See more information about  JUNG, I. on SCOPUS See more information about  JUNG, I. on SCOPUS See more information about JUNG, I. on Web of Science, JUNG, H. See more information about  JUNG, H. on SCOPUS See more information about  JUNG, H. on SCOPUS See more information about JUNG, H. on Web of Science, KANG, H. See more information about KANG, H. on SCOPUS See more information about KANG, H. on SCOPUS See more information about KANG, H. on Web of Science
 
Click to see author's profile in 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 (1,734 KB) | Citation | Downloads: 57 | Views: 84

Author keywords
channel models, microwave propagation, mobile communication, ray tracing, statistical analysis

References keywords
channel(8), propagat(5), propagation(4), model(4), antennas(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2019-08-31
Volume 19, Issue 3, Year 2019, On page(s): 91 - 96
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2019.03011
Web of Science Accession Number: 000486574100011
SCOPUS ID: 85072232537

Abstract
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This paper presents an analysis of channel characteristics in a wireless ultra-wide-area backhaul network based on deterministic ray tube (DRT) ray tracing. The accurate knowledge of spatial temporal channel characteristics enables system-level simulations of wireless communication systems. However, few papers have been published on the analysis of channel characteristics in an ultra-wide-area backhaul network, which is one of a promising fifth generation (5G) scheme. In this paper, we conduct an analysis of the outdoor propagation environment using the DRT ray tracing. Spatial temporal channel parameters are then calculated using linear regression and multipath clustering algorithm. The proposed analysis scheme is verified by comparing the results of existing scenario with the reference spatial channel model (SCM) parameters. Channel characteristics in the wireless ultra-wide-area backhaul scenarios are then investigated.


References | Cited By  «-- Click to see who has cited this paper

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[CrossRef] [SCOPUS Times Cited 2]


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[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 3]


[13] S. Hur, S. Baek, B. Kim, J. Park, A. F. Molisch, K. Haneda, and M. Peter, "28 GHz channel modeling using 3D ray-tracing in urban environments," in Proc. Eur. Conf. Antenna Propagat. (EuCAP), pp. 1-5, Apr. 2015.

[14] S. Hur, S. Baek, B. Kim, Y. Chang, A. F. Molisch, T. S. Rappaport, K. Haneda, and J. Park, "Proposal on millimeter-wave channel modeling for 5G cellular system," IEEE J. Select. Topics Signal Process., vol. 10, no. 3, pp. 454-469, Apr. 2016.
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[CrossRef] [Web of Science Times Cited 30] [SCOPUS Times Cited 54]


References Weight

Web of Science® Citations for all references: 547 TCR
SCOPUS® Citations for all references: 772 TCR

Web of Science® Average Citations per reference: 27 ACR
SCOPUS® Average Citations per reference: 39 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2019-10-13 16:05 in 102 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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