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JCR Impact Factor: 0.595
JCR 5-Year IF: 0.661
Issues per year: 4
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Next issue: Nov 2017
Avg review time: 108 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.

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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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  1/2015 - 11

Low Complexity V-BLAST MIMO-OFDM Detector by Successive Iterations Reduction

AHMED, K. See more information about AHMED, K. on SCOPUS See more information about AHMED, K. on IEEExplore See more information about AHMED, K. on Web of Science, ABUELENIN, S. See more information about  ABUELENIN, S. on SCOPUS See more information about  ABUELENIN, S. on SCOPUS See more information about ABUELENIN, S. 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, AL-BARBARY, K. See more information about AL-BARBARY, K. on SCOPUS See more information about AL-BARBARY, K. on SCOPUS See more information about AL-BARBARY, K. 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 (642 KB) | Citation | Downloads: 267 | Views: 1,382

Author keywords
MIMO, OFDM, signal detection, V-BLAST

References keywords
detection(14), mimo(12), ofdm(10), complexity(8), communications(8), performance(7), system(6), systems(5), reduced(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2015-02-28
Volume 15, Issue 1, Year 2015, On page(s): 77 - 82
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.01011
Web of Science Accession Number: 000352158600011
SCOPUS ID: 84924812233

Abstract
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Full text preview
V-BLAST detection method suffers large computational complexity due to its successive detection of symbols. In this paper, we propose a modified V-BLAST algorithm to decrease the computational complexity by reducing the number of detection iterations required in MIMO communication systems. We begin by showing the existence of a maximum number of iterations, beyond which, no significant improvement is obtained. We establish a criterion for the number of maximum effective iterations. We propose a modified algorithm that uses the measured SNR to dynamically set the number of iterations to achieve an acceptable bit-error rate. Then, we replace the feedback algorithm with an approximate linear function to reduce the complexity. Simulations show that significant reduction in computational complexity is achieved compared to the ordinary V-BLAST, while maintaining a good BER performance.


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

[1] D. A. Khare, "Performance Analysis of V-Blast Based MIMO-OFDM System with Various Detection Techniques," IOSR Journal of Engineering, vol. 2, no. 1, pp. 166-169, Jan. 2012.

[2] D. M. Petal and M. Petal, "Channel estimation for MIMO OFDM using pilot carrier," Indian Streams Research Journal, vol. 3, no. 4, pp. 1-13, May 2012.
[CrossRef]


[3] Henuchul Le, Byeongsi Lee, and Inkyu Lee, "Iterative detection and decoding with an improved V-BLAST for MIMO-OFDM systems," IEEE Journal on Selected Areas in Communications, vol. 24, no. 3, pp. 504-513, Mar. 2006.
[CrossRef] [Web of Science Times Cited 109] [SCOPUS Times Cited 134]


[4] E. Konguvel, J. Raja, and M. Kannan, "A Low Power VLSI Implementation of 2X2 MIMO OFDM Transceiver with ICI-SC Scheme," International Journal of Computer Applications, vol. 77, no. 5, pp. 9-15, Sep. 2013.
[CrossRef]


[5] T. Kim and S. C. Park, "Reduced complexity detection for V-BLAST systems from iteration canceling," in Proc. 23rd International Technical Conference on Circuits/Systems Computers and Communications, Shimonoseki, 2008, pp. 497-500.

[6] Z. Luo, S. Liu, M. Zhao, and Y. Liu, "A Novel Fast Recursive MMSE-SIC Detection Algorithm for V-BLAST Systems," IEEE Transactions on Wireless Communications, vol. 6, no. 6, pp. 2022-2025, Jun. 2007.
[CrossRef] [Web of Science Times Cited 15] [SCOPUS Times Cited 18]


[7] Q. Gao, X.-D. Zhang, J. Li, and W. Shi, "Linear precoding and finite rate feedback design for V-BLAST architecture," IEEE Transactions on Wireless Communications, vol. 7, no. 12, pp. 4976-4986, Dec. 2008.
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 7]


[8] W. Yan, S. Sun, and Z. Lei, "A low complexity VBLAST OFDM detection algorithm for wireless LAN systems," IEEE Communications Letters, vol. 8, no. 6, pp. 374-376, Jun. 2004.
[CrossRef] [Web of Science Times Cited 22] [SCOPUS Times Cited 33]


[9] J. Ketonen, M. Juntti, and J. R. Cavallaro, "Performance-complexity comparison of receivers for a LTE MIMO-OFDM system," IEEE Transactions on Signal Processing, vol. 58, no. 6, pp. 3360-3372, Jun. 2010.
[CrossRef] [Web of Science Times Cited 49] [SCOPUS Times Cited 67]


[10] J. H. Chong, C. K. Ng, N. K. Noordin, and B. M. Ali, "A low computational complexity V-BLAST/STBC detection mechanism in MIMO system," Human-centric Computing and Information Sciences, vol. 4, no. 1, Dec. 2014.
[CrossRef] [SCOPUS Times Cited 5]


[11] Chao Xu, Dandan Liang, S. Sugiura, Soon Xin Ng, and L. Hanzo, "Reduced-Complexity Approx-Log-MAP and Max-Log-MAP Soft PSK/QAM Detection Algorithms," IEEE Transactions on Communications, vol. 61, no. 4, pp. 1415-1425, Apr. 2013.
[CrossRef] [Web of Science Times Cited 8] [SCOPUS Times Cited 10]


[12] C. Xu, S. Sugiura, S. X. Ng, and L. Hanzo, "Spatial Modulation and Space-Time Shift Keying: Optimal Performance at a Reduced Detection Complexity," IEEE Transactions on Communications, vol. 61, no. 1, pp. 206-216, Jan. 2013.
[CrossRef] [Web of Science Times Cited 29] [SCOPUS Times Cited 31]


[13] D. L. Milliner, "Low-complexity list detection algorithms for the multiple-input multiple-output channel", Ph.D. dissertation, Georgia Institute of Technology, Georgia, 2009. [Handle]

[14] M. G. Roozbahani, E. Jedari, and A. A. Shishegar, "A new link-level simulation procedure of wideband MIMO radio channel for performance evaluation of indoor WLANs," Progress In Electromagnetics Research, vol. 83, pp. 13-24, 2008.
[CrossRef] [Web of Science Times Cited 14]


[15] X. Zhang, Y. Su, and G. Tao, "Signal detection technology research of MIMO-OFDM system," in Proc. 3rd International Congress on Image and Signal Processing, Yantai, 2010,vol. 7, pp. 3031-3034.
[CrossRef] [SCOPUS Times Cited 3]


[16] M. Yasir, M. J. Mughal, N. D. Gohar, and S. A. Moiz, "Performance comparison of wavelet based OFDM (WOFDM) V-BLAST MIMO system with different detection algorithms," in Proc. 4th International Conference on, Rawalpindi, 2008, pp. 110-115.
[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 4]


[17] A. D. Borkar and S. G. Shinde, "MIMO-OFDM high data rate wireless system using V-BLAST method," International Journal of Application or Innovation in Engineering & Management, vol. 2, no. 7, pp. 234-242, July 2013.

[18] T. Ahmed, "Performance evaluation of the layered space-time receiver using the QR detection method," International Journal on Computer Science and Engineering, vol. 4, no. 01, pp. 97-105, Jan. 2012.

[19] H. Kwon, J. Lee, and I. Kang, "Successive Interference Cancellation via Rank-Reduced Maximum A Posteriori Detection," IEEE Transactions on Communications, vol. 61, no. 2, pp. 628-637, Feb. 2013.
[CrossRef] [Web of Science Times Cited 8] [SCOPUS Times Cited 12]


[20] W. E. Al-Hanafy, "Non-linear preceding and equalization for broadband MIMO channels", Ph.D. dissertation, University of Strathclyde, Glasgow, U.K, 2010.

[21] L. Bai and J. Choi, Low Complexity MIMO Detection, Springer, US, 2012, pp. 20-21.

[22] Y. Jiang, X. Zheng and J. Li, "Asymptotic performance analysis of V-BLAST," in Proc. Global Telecommunications Conference, St Louis MO, 2005, vol. 6, pp. 3882-3886.
[CrossRef] [SCOPUS Times Cited 39]


[23] Y. Li, "Blind SNR estimation of OFDM signals," in Proc. Microwave and Millimeter Wave Technology (ICMMT), International Conference on, Chengdu, 2010, pp. 1792-1796.
[CrossRef] [SCOPUS Times Cited 6]


[24] "Challenges of Unlicensed Wi-Fi Deployments: A Practical Guide for Cable Operators," Cisco. [Online] Available: Temporary on-line reference link removed - see the PDF document



References Weight

Web of Science® Citations for all references: 263 TCR
SCOPUS® Citations for all references: 369 TCR

Web of Science® Average Citations per reference: 11 ACR
SCOPUS® Average Citations per reference: 15 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 2017-10-14 09:27 in 112 seconds.




Note1: Web of Science® is a registered trademark of Thomson Reuters.
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Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

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


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