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  4/2010 - 1
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Performance Analysis of Microcellular Mobile Radio Systems with Selection Combining in the Presence of Arbitrary Number of Cochannel Interferences

SEKULOVIC, N. M. See more information about SEKULOVIC, N. M. on SCOPUS See more information about SEKULOVIC, N. M. on IEEExplore See more information about SEKULOVIC, N. M. on Web of Science, STEFANOVIC, M. C. See more information about  STEFANOVIC, M. C. on SCOPUS See more information about  STEFANOVIC, M. C. on SCOPUS See more information about STEFANOVIC, M. C. on Web of Science, DRACA, D. L. See more information about  DRACA, D. L. on SCOPUS See more information about  DRACA, D. L. on SCOPUS See more information about DRACA, D. L. on Web of Science, PANAJOTOVIC, A. S. See more information about  PANAJOTOVIC, A. S. on SCOPUS See more information about  PANAJOTOVIC, A. S. on SCOPUS See more information about PANAJOTOVIC, A. S. on Web of Science, STEFANOVIC, D. M. See more information about STEFANOVIC, D. M. on SCOPUS See more information about STEFANOVIC, D. M. on SCOPUS See more information about STEFANOVIC, D. M. on Web of Science
 
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Author keywords
cochannel interference, correlated fading channels, Nakagami-m fading, Rician fading, selection diversity combining

References keywords
fading(15), channels(13), selection(9), correlated(9), stefanovic(8), radio(8), interference(8), cochannel(8), analysis(8), rician(7)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2010-11-30
Volume 10, Issue 4, Year 2010, On page(s): 3 - 8
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.04001
Web of Science Accession Number: 000284782700001
SCOPUS ID: 78649715860

Abstract
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In this paper, the performance of dual selection combining (SC) receiver in communications systems with a Rician desired signal affected by multiple Nakagami-m cochannel interferences (CCIs) is studied. This investigation is important since such environment seems to be the most realistic in microcellular radio communications systems. The performance analysis includes the channel correlation effect since in practice diversity is usually applied in small terminals so antenna elements can not be placed sufficiently apart to achieve independent fading channels. With assumption that CCIs are mutually independent and identically distributed, analytical expressions for the probability density function (PDF) and cumulative distribution function (CDF) of dual SC output signal-to-interference ratio (SIR) are derived and used to investigate important system performance measures, such as the average bit error probability (ABEP), channel capacity and outage probability. The proposed mathematical analysis is complemented by various graphically presented numerical results to show the effects of various system's parameters. In addition, the impact of diversity to the microcellular system's performance is also explored.


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

[1] J. D. Parsons, The Mobile Radio Propagation Channels, 2nd ed. New York: Wiley, 2000.
[CrossRef]


[2] A. Goldsmith, Wireless Communications, Cambridge University Pres: New York, 2005. [PermaLink]

[3] M. K. Simon and M.-S. Alouini, Digital Communication over Fading Channels, 1st ed. New York: Wiley, 2000.
[CrossRef]


[4] S. Okui, "Effects of SIR selection diversity with two correlated branches in the m-fading channel," IEEE Trans. Commun., vol. 48, no. 10, pp. 1631-1633, Oct. 2000.
[CrossRef] [Web of Science Times Cited 40] [SCOPUS Times Cited 50]


[5] A. S. Panajotovic, M. C. Stefanovic, D. Lj. Draca, and N. M. Sekulovic, "Average level crossing rate of dual selection diversity in correlated Rician fading with Rayleigh cochannel interference," IEEE Commun. Lett., vol. 14, no. 7, pp. 1-3, Jul. 2010.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 19]


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[CrossRef] [SCOPUS Times Cited 635]


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[CrossRef] [Web of Science Times Cited 78] [SCOPUS Times Cited 89]


[8] M. C. Stefanovic, D. M. Milovic, A. M. Mitic, and M. M. Jakovljevic, "Performance analysis of system with selection combining over correlated Weibull fading channels in the presence of cochannel interference," Int. J. Electron. Commun. (AEU), vol. 62, no. 9, pp. 695-700, Oct. 2008.
[CrossRef] [Web of Science Times Cited 41] [SCOPUS Times Cited 50]


[9] A. S. Panajotovic, M. C. Stefanovic, and D. Lj. Draca, "Performance analysis of system with selection combining over correlated Rician fading channels in the presence of cochannel interference," Int. J. Electron. Commun. (AEU), vol. 63, no. 12, pp. 1061-1066, Dec. 2009.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 24]


[10] M. C. Stefanovic, D. Lj. Draaa, A. S. Panajotovic, and N. M. Sekulovic, "Performance analysis of system with L-branch selection combining over correlated Weibull fading channels in the presence of cochannel interference," Int. J. Commun. Syst., vol. 23, no. 2, pp. 139-150, Feb. 2010.
[CrossRef] [Web of Science Times Cited 28] [SCOPUS Times Cited 29]


[11] A. S. Panajotovic, M. C. Stefanovic, and D. Lj. Draca, "Effect of microdiversity and macrodiversity on average bit error probability in shadowed fading channels in the presence of interference," ETRI J., vol. 31, no. 5, pp. 500-505, Oct. 2009.
[CrossRef] [SCOPUS Times Cited 16]


[12] D. Aleksic, N. Sekulovic, and M. Stefanovic, "Outage probability of system with selection combining over correlated Weibull fading channels in the presence of Rayleigh cochannel interference," Elektron. Elektrotech., vol. 90, no. 2, pp. 7-10, 2009.

[13] P. Spalevic, N. Sekulovic, Z. Georgios, and E. Mekic, "Performance analysis of SIR-based triple selection diversity over correlated Weibull fading channels," Facta Universitatis: Series Electronics and Energetics, vol. 23, no. 1, pp. 89-98, Apr. 2010.

[14] N. Sekulovic, M. Stefanovic, D. Denic, and D. Aleksic, "Performance analysis of SINR-based selection diversity over correlated Rayleigh fading channels," IET Commun., accepted for publication,
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 6]


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[CrossRef] [Web of Science Times Cited 21] [SCOPUS Times Cited 24]


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[CrossRef] [Web of Science Times Cited 148] [SCOPUS Times Cited 181]


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[CrossRef] [Web of Science Times Cited 116] [SCOPUS Times Cited 167]


[18] Y.-D. Yao and A. U. H. Sheikh, "Outage probability analysis for microcell mobile radio systems with cochannel interferers in Rician/Rayleigh fading environment," Electron. Lett., vol. 26, no. 13, pp. 864-866, Jun. 1990.
[CrossRef] [Web of Science Times Cited 121] [SCOPUS Times Cited 153]


[19] G. Karagiannidis, S. Kotsopoulos, and C. Georgopoulos, "Outage probability analysis for a Rician signal in L Nakagami-m interferers with arbitrary parameters," J. Commun. Networks, vol. 1, no. 1, pp. 26-30, Mar. 1999.

[20] V. V. Milenkovic, N. M. Sekulovic, M. C. Stefanovic, and M. B. Petrovic, "Effect of microdiversity and macrodiversity on average bit error probability in gamma shadowed Rician fading channels," ETRI J., vol. 32, no. 3, pp. 464-467, Jun. 2010.
[CrossRef] [Web of Science Times Cited 16] [SCOPUS Times Cited 21]


[21] M. K. Simon, "Comments on "Infinite-series representations associated with the bivariate Rician distribution and their applications," " IEEE Trans. Commun., vol. 54, no. 8, pp. 1511-1512, Aug. 2006.
[CrossRef] [Web of Science Times Cited 24] [SCOPUS Times Cited 27]


[22] A. A. Abu-Dayya and N. C. Beaulieu, "Outage probabilities of cellular mobile radio systems with multiple Nakagami-m interferers," IEEE Trans. Veh. Technol., vol. 40, no. 4, pp. 757-768, Nov. 1991.
[CrossRef] [Web of Science Times Cited 130] [SCOPUS Times Cited 151]


[23] M. Nakagami, "The m-distribution - A general formula of intensity distribution of rapid fading," in Statistical Methods in Radio Wave Propagation, Pergamon Press, Oxford, U.K., pp. 3-36, 1960. [PermaLink]

[24] M. Abramovitz and I. A. Stegun, "Handbook of Mathematical Functions with Formulas, Gaphs, and Mathematical Tables", New York: Dover publications Inc., 1970.

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[CrossRef] [Web of Science Times Cited 55] [SCOPUS Times Cited 63]




References Weight

Web of Science® Citations for all references: 851 TCR
SCOPUS® Citations for all references: 1,705 TCR

Web of Science® Average Citations per reference: 32 ACR
SCOPUS® Average Citations per reference: 63 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 2022-10-05 12:29 in 114 seconds.




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