On the performance of M-QAM for Nakagami channels subject to gated noise

Queiroz, Wamberto J. L.; Madeiro, Francisco; Lopes, Waslon T. A.; Alencar, Marcelo S.

doi:10.1007/s11235-017-0371-7

Cited by 12 publications

(18 citation statements)

References 25 publications

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Section: Related Workmentioning

confidence: 99%

“…Queiroz et al present exact expressions for the BEP of the M ‐QAM scheme with the channel under gated additive white Gaussian noise or G 2 AWGN and Nakagami‐ m fading. The expressions presented by Queiroz et al, corroborated by computational simulations, are obtained from the classical method, which consists of weighting the BEP conditioned to the fading by the PDF of fading. In the work of Silva et al, exact expressions for the BEP are presented for the modulation scheme M ‐QAM considering the channel modeled by a Markov chain with N states, with each state representing different scenarios.…”

Section: Related Workmentioning

confidence: 99%

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Bit error probability of the M‐QAM scheme subject to multilevel double gated additive white Gaussian noise and η‐μ, κ‐μ, or α‐μ fading

Silva

Queiroz

Almeida

et al. 2019

Trans Emerging Tel Tech

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This paper presents new and exact expressions for the bit error probability (BEP) of the square M-ary quadrature amplitude modulation scheme subject to -, -or -fading and multilevel double gated additive white Gaussian noise, which is composed by the sum of a white Gaussian component of variance 2 g and a white Gaussian noise component of variance 2 i gated by a discrete random process defined in continuous time, which takes values into a finite discrete set. BEP curves, with and without imperfect channel estimation, corroborated by simulations using the Monte Carlo method, are presented for different values of parameters that characterize mathematically the channel.Trans Emerging Tel Tech. 2019;30:e3682.wileyonlinelibrary.com/journal/ett

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Bit error probability of the M‐QAM scheme subject to multilevel double gated additive white Gaussian noise and η‐μ, κ‐μ, or α‐μ fading

Silva

Queiroz

Almeida

et al. 2019

Trans Emerging Tel Tech

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“…TO IMPULSIVE NOISE AND α-µ FADING It was shown in [10,Equation 26] that the BEP of M -QAM signals, with the channel subject to G 2 AWGN noise and fading, conditioned to the intensity of the fading envelope, z, denoted by P (e|z), can be written as…”

Section: Bep Of M -Qam Signals In a Channel Subjectmentioning

confidence: 99%

Bit Error Probability of M-QAM Signals Subject to Impulsive Noise and \(\alpha\)-\(\mu\) Fading

Silva¹,

Almeida²,

Queiroz³

et al. 2019

Anais De XXXVII Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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In this paper, a new closed-form expression is presented for determining the Bit Error Probability (BEP), Pe, of Mary Quadrature Amplitude Modulation (M-QAM) signals subject to Double Gated Additive White Gaussian Noise (G 2 AWGN) and α-µ fading, from an approach referred to as Dirac delta function approximation. In this approach, the sampling property of the Dirac delta function and an alternative representation of the tail distribution function of the standard normal distribution, known as Q-function, are used to obtain the BEP expression as a function of the Signal to Permanent Noise Ratio (SNR), Signal to Impulsive Noise Ratio (SNI) and the parameters that characterizes the channel. All BEP curves shown in this article are corroborated by simulations performed with the Monte Carlo method.

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“…in which η denotes the G 2 AWGN impulsive noise, with PDF given by Expression (5), and γ denotes the fading amplitude, with PDF [19] f…”

Section: Pdf Of the Noise Rmentioning

confidence: 99%

“…Studies on impulsive noise began with Middleton in 1951 [3]. Since them, several studies have arisen on Double Gated Additive White Gaussian Noise (G 2 AWGN) binary [4], [5]. Impulsive noise is of interest to several researchers [6], [7], [8], [9], [10], [11].…”

Section: Introductionmentioning

confidence: 99%

Bit Error Probability of M -QAM Subject to Impulsive Noise and Rayleigh Fading

Silva¹,

Alencar²,

Queiroz³

et al. 2018

Anais De XXXVI Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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In this paper exact expressions are presented for the bit error probability (BEP) of M-ary Quadrature Amplitude Modulation (M-QAM) signals subject to Double Gated Additive White Gaussian Noise (G 2 AWGN) combined with Rayleigh fading. In this study, the Rayleigh fading channel can be seen as a channel subject to an additive noise, R, obtained by the ratio between the received signal and the fading amplitude. Besides, for each model of impulsive noise considered, the probability density function (PDF) of R is presented, which is defined as the ratio between the random variable of the impulsive noise and the random variable of the fading.

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On the performance of M-QAM for Nakagami channels subject to gated noise

Cited by 12 publications

References 25 publications

Bit error probability of the M‐QAM scheme subject to multilevel double gated additive white Gaussian noise and η‐μ, κ‐μ, or α‐μ fading

Bit error probability of the M‐QAM scheme subject to multilevel double gated additive white Gaussian noise and η‐μ, κ‐μ, or α‐μ fading

Bit Error Probability of M-QAM Signals Subject to Impulsive Noise and \(\alpha\)-\(\mu\) Fading

Bit Error Probability of M -QAM Subject to Impulsive Noise and Rayleigh Fading

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