DocumentCode :
258022
Title :
Novel Average Bit Error Rate Analysis of generalized fading channels subject to Additive White Generalized Gaussian Noise
Author :
Salahat, Ehab ; Saleh, Hani
Author_Institution :
Electr. & Comput. Eng. Dept., Khalifa Univ., Abu Dhabi, United Arab Emirates
fYear :
2014
fDate :
3-5 Dec. 2014
Firstpage :
1107
Lastpage :
1111
Abstract :
In this paper, a novel unified performance analysis of wireless communications over generalized fading channels in terms of the Average Bit Error Rate (ABER) is presented. We derive simple and accurate, exact and approximate, closed-form expressions for ABER, encapsulating all coherent modulations, for the α-η-μ, the α-λ-μ and the α-λ-μ-η, generalized fading distribution, which accurately characterize the nonlinear and at the same time the non-homogeneous nature of the propagation medium, and include the α-μ, the λ-μ, the η-μ, the Weibull, the Hoyt, the Rice, the Nakagami-m, the Rayleigh, the Exponential, the Lognormal, the Gamma and the One-sided Gaussian models as special cases. We extend the generality of the derived ABER expressions by assuming Additive White Generalized Gaussian Noise (AWGGN) environment which includes the Gaussian, the Laplacian, the Gamma and the impulsive noise as special cases. The derived expressions are very generic and convenient to handle both numerically and analytically, allowing simple unconstrained performance evaluation and accurate system planning. Numerical testing and existing results for the special cases of these generalized distributions have been used to validate the derived expressions showing an excellent match.
Keywords :
AWGN; Gaussian distribution; Nakagami channels; Rayleigh channels; Weibull distribution; error statistics; exponential distribution; impulse noise; modulation; radiowave propagation; ABER; AWGGN; Gaussian models; Hoyt models; Laplacian models; Nakagami-m models; Rayleigh models; Rice models; Weibull models; additive white generalized Gaussian noise; average bit error rate analysis; coherent modulations; exponential models; fading channels; fading distribution; gamma models; impulsive noise; lognormal models; propagation medium; wireless communications; Approximation methods; Bit error rate; Laplace equations; Noise; Rayleigh channels; Wireless communication; α-η-η fading; α-λ-η fading; Additive White Generalized Gaussian Noise; Generalized Fading; Generalized Q-function; Symbol Error Rate; Unified Expressions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Information Processing (GlobalSIP), 2014 IEEE Global Conference on
Conference_Location :
Atlanta, GA
Type :
conf
DOI :
10.1109/GlobalSIP.2014.7032293
Filename :
7032293
Link To Document :
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