Performance analysis of generalized QAM modulation under η−μ and κ−μ fading

Abstract

This paper presents new closed-form expressions for the symbol error probability (SEP) of θ -QAM modulation with maximum ratio combining (MRC) receiver under η − μ and κ − μ fading. The SEP formulae, obtained from the definite integrals of the moment generating function (MGF) of the signal-to-noise ratio (SNR) at the input of the MRC receiver, are written in terms of Lauricella functions. The numerical evaluation of the expressions is carried out for the η − μ distribution, which includes important distributions as special cases, such as Hoyt, Nakagami-m, Rayleigh, and one-sided Gaussian, as well as for the κ − μ distribution, which includes Rice, Nakagami-m, Rayleigh, and one-sided Gaussian as special cases.

Atribuição de Índices para QV Robusta Usando o Algoritmo Variable Neighborhood Search

“…Como trabalhos futuros, outras técnicas de otimização serão utilizadas na atribuição deíndices para minimizar oíndice de desordem dos dicionários, como, por exemplo, algoritmos de enxames, como Particle Swarm Optimization (PSO) e Firefly Algorithm (FA). Pretende-se, também, avaliar a robustez dos dicionários organizados em outros tipos de canais de comunicação, tais como os canais com desvanecimento Rayleigh, Rice & Nakagami [19][20][21][22].…”

On Gated Gaussian Impulsive Noise in M-QAM with Optimum Receivers

“…Hence, substituting those probabilities in Expression 56, one obtain the expressions for the BEP of each one of the proposed models. It is worth to mention that the authors have successfully used this approach to determine the BEP of modulation schemes in Nakagami-m, η − µ and κ − µ fading channels [15], [17], [18] A. BEP of the Gated Binary Gaussian Impulsive Noise…”