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CLC number: TN929.5

On-line Access: 2011-09-09

Received: 2010-07-21

Revision Accepted: 2010-12-06

Crosschecked: 2011-07-29

Cited: 1

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Citations:  Bibtex RefMan EndNote GB/T7714

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Journal of Zhejiang University SCIENCE C 2011 Vol.12 No.9 P.754-765

http://doi.org/10.1631/jzus.C1000257


Differential multiuser detection using a novel genetic algorithm for ultra-wideband systems in lognormal fading channel


Author(s):  Zheng-min Kong, Liang Zhong, Guang-xi Zhu, Li Ding

Affiliation(s):  Department of Automation, Wuhan University, Wuhan 430072, China, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science & Technology, Wuhan 430074, China, Department of Electronics and Information Engineering, Huazhong University of Science & Technology, Wuhan 430074, China

Corresponding email(s):   kongzhengmin5@163.com, gxzhu@126.com

Key Words:  Multiuser detection (MUD), Ultra-wideband (UWB), Genetic algorithm (GA), Complementary error function mutation (CEFM), Differential algorithm (DA)


Zheng-min Kong, Liang Zhong, Guang-xi Zhu, Li Ding. Differential multiuser detection using a novel genetic algorithm for ultra-wideband systems in lognormal fading channel[J]. Journal of Zhejiang University Science C, 2011, 12(9): 754-765.

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author="Zheng-min Kong, Liang Zhong, Guang-xi Zhu, Li Ding",
journal="Journal of Zhejiang University Science C",
volume="12",
number="9",
pages="754-765",
year="2011",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.C1000257"
}

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%T Differential multiuser detection using a novel genetic algorithm for ultra-wideband systems in lognormal fading channel
%A Zheng-min Kong
%A Liang Zhong
%A Guang-xi Zhu
%A Li Ding
%J Journal of Zhejiang University SCIENCE C
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%P 754-765
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C1000257

TY - JOUR
T1 - Differential multiuser detection using a novel genetic algorithm for ultra-wideband systems in lognormal fading channel
A1 - Zheng-min Kong
A1 - Liang Zhong
A1 - Guang-xi Zhu
A1 - Li Ding
J0 - Journal of Zhejiang University Science C
VL - 12
IS - 9
SP - 754
EP - 765
%@ 1869-1951
Y1 - 2011
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.C1000257


Abstract: 
We employ a multiuser detection (MUD) method using a novel genetic algorithm (GA) based on complementary error function mutation (CEFM) and a differential algorithm (DA) for ultra-wideband (UWB) systems. The proposed MUD method is termed CEFM-GA DA for short. We describe the scheme of CEFM-GA DA, analyze its algorithm, and compare its computational complexity with other MUDs. Simulation results show that a significant performance gain can be achieved by employing the proposed CEFM-GA DA, compared with successive interference cancellation (SIC), parallel interference cancellation (PIC), conventional GA, and CEFM-GA without DA, for UWB systems in lognormal fading channel. Moreover, CEFM-GA DA not only reduces computational complexity relative to conventional GA and CEFM-GA without DA, but also improves bit error rate (BER) performance.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1]Ahmadi-Shokouh, J., Qiu, R.C., 2009. Ultra-wideband (UWB) communications channel measurements—a tutorial review. Int. J. Ultra Wideband Commun. Syst., 1(1):11-30.

[2]Ahmed, Q.Z., Yang, L., 2010. Reduced-rank adaptive multiuser detection in hybrid direct-sequence time-hopping ultrawide bandwidth systems. IEEE Trans. Wirel. Commun., 9(1):156-167.

[3]Arifianto, M.S., Chekima, A., Barukang, L., Hamid, M.Y., Viswacheda, D.V., 2007. STBC MC-CDMA with Genetic Algorithm Based MUD for Wireless Multimedia Communications. IEEE Int. Conf. on Computational Intelligence and Multimedia Applications, p.298-305.

[4]Biradar, G.S., Merchant, S.N., Desai, U.B., 2008. Performance of Constrained Blind Adaptive DS-CDMA UWB Multiuser Detector in Multipath Channel with Narrowband Interference. IEEE GLOBECOM, p.1-5.

[5]Boubaker, N., Letaief, K.B., 2004. Combined Multiuser Successive Interference Cancellation and Partial RAKE Reception for Ultra-Wideband Wireless Communications. IEEE 60th Vehicular Technology Conf., p.1209-1212.

[6]ECMA International, 2008. ECMA-368: High Rate Ultra Wideband PHY and MAC Standard (3rd Ed.). ECMA International, Geneva.

[7]Foerster, J., 2003. Channel Modeling Sub-committee Report (Final). Technical Report, No. IEEE P802.15-02/490r1-SG3a. IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs), Intel R&D, OR.

[8]Gen, M., Cheng, R., 2000. Genetic Algorithms and Engineering Optimization. John Wiley & Sons, NY.

[9]Goldberg, D.E., 1989. Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley, MA.

[10]Hanzo, L., Keller, T., 2006. OFDM and MC-CDMA: a Primer. IEEE Press/Wiley, Piscataway, p.303-329.

[11]Jiang, M., Hanzo, L., 2007. Multiuser MIMO-OFDM for next-generation wireless systems. Proc. IEEE, 95(7):1430-1469.

[12]Jiang, M., Ng, S.X., Hanzo, L., 2006. Hybrid iterative multiuser detection for channel coded space division multiple access OFDM systems. IEEE Trans. Veh. Technol., 55(1):115-127.

[13]Kaligineedi, P., Bhargava, V.K., 2008. Frequency-domain turbo equalization and multiuser detection for DS-UWB systems. IEEE Trans. Wirel. Commun., 7(9):3280-3284.

[14]Kong, Z., Jiang, J., Zhu, G., 2008. A Study of Differencing Structure Decision Feedback Equalizer with Multiuser Feedback. IET Int. Conf. on Wireless, Mobile and Multimedia Networks, p.172-175.

[15]Kong, Z., Zhu, G., Tong, Q., Li, Y., 2010. A novel differential multiuser detection algorithm for multiuser MIMO-OFDM systems. J. Zhejiang Univ.-Sci. C (Comput. & Electron.), 11(10):798-807.

[16]Li, Q., Rusch, L.A., 2002. Multiuser detection for DS-CDMA UWB in the home environment. IEEE J. Sel. Areas Commun., 20(9):1701-1711.

[17]Molisch, A.F., Foerster, J.R., Pendergrass, M., 2003. Channel models for ultrawideband personal area networks. IEEE Wirel. Commun., 10(6):14-21.

[18]Nahler, A., Irmer, R., Fettweis, G., 2002. Reduced and differential parallel interference cancellation for CDMA systems. IEEE J. Sel. Areas Commun., 20(2):237-247.

[19]Proakis, J.G., Salehi, M., 2007. Digital Communications (5th Ed.). McGraw-Hill, Whitby, p.88-126.

[20]Qiu, R.C., 2005. Optimum and sub-optimum detection of physics-based ultra-wideband signals—a tutorial review. Dyn.Contin. Discr. Impul. Syst. Ser. B, 12(3):321-334.

[21]Saleh, A., Valenzuela, R., 1987. A statistical model for indoor multipath propagation. IEEE J. Sel. Areas Commun., 5(2):128-137.

[22]Shen, X., Guizani, M., Chen, H.H., Qiu, R.C., Molisch, A.F., 2006a. Ultrawideband wireless communications—theory and applications. IEEE J. Sel. Areas Commun., 24(4):713-716.

[23]Shen, X., Guizani, M., Qiu, R.C., Le-Ngoc, T., 2006b. UWB Wireless Communications and Networks. IEEE Press/ Wiley, Piscataway, p.37-51.

[24]Surajudeen-Bakinde, N., Zhu, X., Gao, J., Nandi, A.K., 2009. Genetic Algorithm Based Equalization for Direct Sequence Ultra-Wideband Communications Systems. IEEE WCNC, p.1-5.

[25]Tan, T., Huang, Y., Lin, C., Fu, R., 2006. Performance Improvement of Multiuser Detection Using a Genetic Algorithm in DS-CDMA UWB Systems over an Extreme NLOS Multipath Channel. IEEE Int. Conf. on Systems, Man, and Cybernetics, p.1945-1950.

[26]Verdu, S., 1998. Multiuser Detection. Cambridge University Press, Cambridge, p.88-213.

[27]Wen, J., Hung, H., Chao, C., Cheng, C., 2010. An Effective Hybrid GACSA-Based Multi-user Detection for Ultra-Wideband Communications Systems. IEEE WICON, p.1-7.

[28]Yen, K., Hanzo, L., 2004. Genetic-algorithm-assisted multiuser detection in asynchronous CDMA communications. IEEE Trans. Veh. Technol., 53(5):1413-1422.

[29]Zhong, L., Zhu, G., Kong, Z., Li, Y., Huang, L., 2010. Novel Cluster Identification Algorithm for Ultra-Wide Band Channel. 6th Int. Conf. on Wireless Communications, Networking and Mobile Computing, p.1-4.

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