2017
DOI: 10.1109/tcomm.2017.2688396
|View full text |Cite
|
Sign up to set email alerts
|

Generalized MGF of Beckmann Fading With Applications to Wireless Communications Performance Analysis

Abstract: Abstract-The Beckmann distribution is a general multipath fading model for the received radio signal in the presence of a large number of scatterers, which can thence be modeled as a complex Gaussian random variable where both the inphase and quadrature components have arbitrary mean and variance. However, the complicated nature of this distribution has prevented its widespread use and relatively few analytical results have been reported for this otherwise useful fading model. In this paper, we derive a closed… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
41
0

Year Published

2018
2018
2025
2025

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 42 publications
(42 citation statements)
references
References 28 publications
1
41
0
Order By: Relevance
“…In the Nakagami-m fading case, our SOP approximation, shown in Corollary 3.2, is much concise compared to (34) in [9], where the SOP expression is composed by multiple summation terms. In addition, the SOP approximation in [9] is valid only for integer m.…”
Section: Proofmentioning
confidence: 93%
“…In the Nakagami-m fading case, our SOP approximation, shown in Corollary 3.2, is much concise compared to (34) in [9], where the SOP expression is composed by multiple summation terms. In addition, the SOP approximation in [9] is valid only for integer m.…”
Section: Proofmentioning
confidence: 93%
“…where E{•} represents the average operator. By setting some specific values for the parameters of the MGF of the Beckmann distribution in (6) of [12], the form of (1) can be also easily obtained.…”
Section: System Modelmentioning
confidence: 99%
“…Note that the Beckmann distribution incorporates some classical fading models such as the Rician, Hoyt (Nakagami-q), and Rayleigh distributions as particular cases [19]. Specifically, when the boresight displacement s = µ 2 x + µ 2 y is equal to zero, i.e., µ x = µ y = 0, and σ x = σ y , the Beckmann model converges to the Rayleigh distribution, which is frequently used for pointing errors with zero boresight [18].…”
Section: Non-zero Boresight Pointing Error Modelmentioning
confidence: 99%