TY - GEN
T1 - Exact Symbol Error Probability of Square M-QAM Signaling over Generalized Fading Channels subject to Additive Generalized Gaussian Noise
AU - Soury, Hamza
AU - Alouini, Mohamed-Slim
AU - Yilmaz, Ferkan
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2013/7
Y1 - 2013/7
N2 - This paper considers the average symbol error
probability of square Quadrature Amplitude Modulation (QAM)
coherent signaling over flat fading channels subject to additive
generalized Gaussian noise. More specifically, a generic closedform
expression in terms of the Fox H function and the bivariate
Fox H function is offered for the extended generalized-K fading
case. Simplifications for some special fading distributions such as
generalized-K fading, Nakagami-m fading, and Rayleigh fading
and special additive noise distributions such as Gaussian and
Laplacian noise are then presented. Finally, the mathematical
formalism is illustrated by some numerical examples verified by
computer based simulations for a variety of fading and additive
noise parameters.
AB - This paper considers the average symbol error
probability of square Quadrature Amplitude Modulation (QAM)
coherent signaling over flat fading channels subject to additive
generalized Gaussian noise. More specifically, a generic closedform
expression in terms of the Fox H function and the bivariate
Fox H function is offered for the extended generalized-K fading
case. Simplifications for some special fading distributions such as
generalized-K fading, Nakagami-m fading, and Rayleigh fading
and special additive noise distributions such as Gaussian and
Laplacian noise are then presented. Finally, the mathematical
formalism is illustrated by some numerical examples verified by
computer based simulations for a variety of fading and additive
noise parameters.
UR - http://hdl.handle.net/10754/294146
UR - http://ieeexplore.ieee.org/document/6620186/
UR - http://www.scopus.com/inward/record.url?scp=84890392479&partnerID=8YFLogxK
U2 - 10.1109/ISIT.2013.6620186
DO - 10.1109/ISIT.2013.6620186
M3 - Conference contribution
SN - 9781479904464
SP - 51
EP - 55
BT - 2013 IEEE International Symposium on Information Theory
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -