TY - GEN
T1 - A generalized mixture of gaussians for fading channels
AU - Alhussein, Omar
AU - Selim, Bassant
AU - Assaf, Tasneem
AU - Muhaidat, Sami
AU - Liang, Jie
AU - Karagiannidis, George K.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/1
Y1 - 2015/7/1
N2 - The analysis of composite fading channels, which are typically encountered in wireless channels due to multipath and shadowing is quite involved, as the underlying fading distributions do not lend themselves to analysis. An example of such channels are the Nakagami/Rayleigh-Lognormal fading channels. Several simplified expressions have been proposed in the literature. In this paper, a generalized fading model for composite and non-composite fading models, based on the so-called Mixture of Gaussians (MoG) distribution, is proposed. The well-known expectation-maximization algorithm is utilized to estimate the parameters of the MoG model. Furthermore, relying on the proposed MoG model, we derive closed form expressions for several performance metrics used in wireless communication systems, including the raw moments, the amount of fading, the outage probability, the average channel capacity, and the moment generating function. In addition, the symbol error rate of L-branch maximum ratio combining diversity receiver is studied for linear coherent signaling schemes. Monte Carlo simulations are presented to corroborate the analytical results and to assess the accuracy of the MoG model.
AB - The analysis of composite fading channels, which are typically encountered in wireless channels due to multipath and shadowing is quite involved, as the underlying fading distributions do not lend themselves to analysis. An example of such channels are the Nakagami/Rayleigh-Lognormal fading channels. Several simplified expressions have been proposed in the literature. In this paper, a generalized fading model for composite and non-composite fading models, based on the so-called Mixture of Gaussians (MoG) distribution, is proposed. The well-known expectation-maximization algorithm is utilized to estimate the parameters of the MoG model. Furthermore, relying on the proposed MoG model, we derive closed form expressions for several performance metrics used in wireless communication systems, including the raw moments, the amount of fading, the outage probability, the average channel capacity, and the moment generating function. In addition, the symbol error rate of L-branch maximum ratio combining diversity receiver is studied for linear coherent signaling schemes. Monte Carlo simulations are presented to corroborate the analytical results and to assess the accuracy of the MoG model.
KW - Composite distributions
KW - Expectation-maximization algorithms
KW - Fading channels
KW - Gaussian mixture models
KW - Maximum ratio combining
KW - Performance analysis
UR - http://www.scopus.com/inward/record.url?scp=84940399357&partnerID=8YFLogxK
U2 - 10.1109/VTCSpring.2015.7145607
DO - 10.1109/VTCSpring.2015.7145607
M3 - Conference contribution
AN - SCOPUS:84940399357
T3 - IEEE Vehicular Technology Conference
BT - 2015 IEEE 81st Vehicular Technology Conference, VTC Spring 2015 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 81st IEEE Vehicular Technology Conference, VTC Spring 2015
Y2 - 11 May 2015 through 14 May 2015
ER -