Bit-error rate of binary digital modulation schemes in generalized gamma fading channels

Aalo, Valentine A.; Piboongungon, T.; Iskander, C.-D.

doi:10.1109/lcomm.2005.02027

Cited by 90 publications

(57 citation statements)

References 8 publications

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“…Based on the theoretical description given, the Nakagami-m envelope variates can be generated in a simple and efficient way using the following equation: (7) Where, and are independent Gaussian distributed with zero mean and identical variance.The received envelope at any point is assumed to consist of m number of multipath components and the non-linearity of this heterogeneous environment represented in the form of an exponent 1/ v, so that the resultant generalized gamma distributed envelope of can be generated using the following equation: (8) Where and are independently distributed Gaussian variables with zero mean and unit variance. Equation 8 is valid for only discrete value of m [13]. Equation (7) and (8) clearly indicates the relationship between nakagami-m envelope and generalized gamma distributed envelope, which can also be obtain by using PDF equations of both the fading distributions.…”

Section: Channel Modelmentioning

confidence: 91%

“…So, in order to evaluate the performance of OFDM system in Gamma fading, we must use the optim value of fading parameter . Since, it is reported in literature that envelope of Generalized Gamma fading can be obtained through Equation 8 for only discrete values of m [13], so, we have chosen the discrete value of to evaluate the performance of OFDM system. Figure 3 and Figure 4 clearly shows that at , Generalized Gamma fading distribution behaves like Nakagami-m distribution as stated in literature.…”

Section: Case Ii: Under the Influence Of Generalized Gamma Fadementioning

confidence: 99%

“…Another versatile wireless channel model, which can generalize the commonly used models for multipath fading and shadowing, is the two-parameter generalized gamma model [13]. It includes multipath fading models such as Rayleigh, Nakagami-m, and Weibull as special cases and lognormal shadowing model as the limiting case.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

BER Performance of OFDM-BPSK and -QPSK Over Generalized Gamma Fading Channel

Sood¹,

Sharma²,

Uddin³

2010

IJCA

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In this paper, the BER performance of OFDM-BPSK and -QPSK system over generalized gamma fading channel has been reported. This model is versatile enough to represent short-term fading such as Weibull, Nakagami-m, or Rayleigh as well as shadowing. The flexibility of this model is because of two fading parameters compared to only one in Nakagami-m fading model, which helps to analyze the severity of fading more deeply. Here, simulations of OFDM signals are carried with generalized gamma faded signal to understand the effect of channel fading.

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Section: Channel Modelmentioning

confidence: 91%

Section: Case Ii: Under the Influence Of Generalized Gamma Fadementioning

confidence: 99%

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BER Performance of OFDM-BPSK and -QPSK Over Generalized Gamma Fading Channel

Sood¹,

Sharma²,

Uddin³

2010

IJCA

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“…To accommodate such channels, a generalized Nakagami or generalized gamma channel [4], [11][12][13] can be defined by scaling the power by (1/s) where s is a positive number. Let us define P gg as…”

Section: Gamma Generalized Gamma and Weibull Fadingmentioning

confidence: 99%

Statistical Models for Fading and Shadowed Fading Channels in Wireless Systems: A Pedagogical Perspective

Shankar

2010

Wireless Pers Commun

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A unified analysis of statistical models for describing fading, shadowing, and shadowed fading channels is presented from a pedagogical viewpoint. The different probability density functions such the Rayleigh, Nakagami, gamma, generalized gamma, Weibull, lognormal, Nakagami-lognormal, K distribution, generalized K distribution, and Nakagami inverse Gaussian distribution are presented and the relationships among them are detailed. These density functions are compared in terms of two quantitative measures, namely the amount of fading and outage probability. A general approach to fading and shadowed fading channels using a cluster based approach is also presented to link several of the distributions. It is expected that this overview will be very helpful to students and educators who are engaged in the study of wireless systems and the adverse impact of fading and shadowing in wireless data transmission.

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“…In another related work [3], Yacoub introduced the α-μ distribution and gave a physical justification for the origin of the GG model. More recently, Aalo et al presented a closed-form expression for the ABEP for both coherent and noncoherent/differentially coherent binary digital modulations [4].…”

mentioning

confidence: 99%

On the performance analysis of equal-gain diversity receivers over generalized gamma fading channels

Sagias

Karagiannidis

Mathiopoulos

et al. 2006

IEEE Trans. Wireless Commun.

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Abstract-A versatile envelope distribution which generalizes many commonly used models for multipath and shadow fading is the so-called generalized Gamma (GG) distribution. By considering the product of N GG random variables (RV)s, novel expressions for its moments-generating, probability density, and cumulative distribution functions are obtained in closed form. These expressions are used to derive a closed-form union upper bound for the distribution of the sum of GG distributed RVs. The proposed bound turns out to be an extremely convenient analytical tool for studying the performance of N -branch equalgain combining receivers operating over GG fading channels. For such receivers, first the moments of the signal-to-noise (SNR) at the output, including average SNR and amount of fading, are obtained in closed form. Furthermore, novel union upper bounds for the outage and the average bit error probability are derived and evaluated in terms of Meijer's G-functions. The tightness of the proposed bounds is verified by performing comparisons between numerical evaluation and computer simulations results.Index Terms-Equal-gain combining (EGC), generalized fading channels, generalized Gamma, Lognormal, Nakagami-m, outage probability, sum of random variables, Weibull.

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Bit-error rate of binary digital modulation schemes in generalized gamma fading channels

Cited by 90 publications

References 8 publications

BER Performance of OFDM-BPSK and -QPSK Over Generalized Gamma Fading Channel

BER Performance of OFDM-BPSK and -QPSK Over Generalized Gamma Fading Channel

Statistical Models for Fading and Shadowed Fading Channels in Wireless Systems: A Pedagogical Perspective

On the performance analysis of equal-gain diversity receivers over generalized gamma fading channels

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