2021
DOI: 10.1109/lwc.2021.3092165
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The Role of Correlation in the Doubly Dirty Fading MAC With Side Information at the Transmitters

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Cited by 12 publications
(9 citation statements)
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“…Here, we provide numerical results to evaluate the proposed analytical expressions, in a number of multiuser FA set-ups. Parameter values are designed using [5], [16] as a reference. We consider a number of users K = 4, 16, 32, and the rest of simulation parameters as P = 30dBm, σ 2 = −80dBm, R th = 1bps/Hz, δ 2 = 1, and (m 1 , m 2 ) = (2,4).…”
Section: Numerical Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Here, we provide numerical results to evaluate the proposed analytical expressions, in a number of multiuser FA set-ups. Parameter values are designed using [5], [16] as a reference. We consider a number of users K = 4, 16, 32, and the rest of simulation parameters as P = 30dBm, σ 2 = −80dBm, R th = 1bps/Hz, δ 2 = 1, and (m 1 , m 2 ) = (2,4).…”
Section: Numerical Resultsmentioning
confidence: 99%
“…Specifically, we consider a K-user dirty multiple access channel (DMAC) in which each user takes advantage of non-causally available side information (SI) and sends an independent message to a common BS receiver equipped with an FA system through correlated Fisher-Snedecor F fading channels. In this model, SI is an information-theoretic concept that mainly refers to either CSI or interference awareness, and has the ability to meet the reliability constraint in future wireless networks by reducing the destructive effects of the interference and providing reliable communication at higher rates [14], [15], [16]. In particular, by connecting Jakes' model to copula theory with the help of rank correlation coefficients such as Spearman's ρ, we first provide an analytical expression for the joint cumulative distribution function (CDF) in the considered multiuser FA system under correlated Fisher-Snedecor F fading channels, and then derive the OP in a closed-form expression.…”
Section: Introductionmentioning
confidence: 99%
“…If K → ∞, it goes to 0. In (19), it is straightforward as K → ∞, the outage probability reaches 0 due to the term −1 β . Finally, in (20), the logarithm value is always negative, thereby when K → ∞, the outage probability achieves 0.…”
Section: Special Case: Correlated Nakagami-m Fadingmentioning
confidence: 99%
“…Specifically, generating the true multivariate distributions of correlated channels in FAS is hard due to mathematical and statistical limitations. To overcome this, one flexible approach to describe the structure of dependency between two or more random variables (RVs) is copula theory which has recently received significant attention in the performance analysis of wireless communication systems [13]- [19]. Generally speaking, copulas are mainly described with a dependence parameter which can measure the degree of dependence between RVs beyond linear correlation.…”
Section: Introductionmentioning
confidence: 99%
“…In their work [21], the authors delve into examining the influence of fading correlation on the performance of the doubly dirty fading MAC when non-causally known side information is available at transmitters.…”
Section: Related Workmentioning
confidence: 99%