The kappa-#181;/Ig Composite Statistical Distribution in RF and FSO Wireless Channels

Sofotasios, Paschalis C.; Tsiftsis, Theodoros A.; Van, Khuong Ho; Freear, Steven; Wilhelmsson, Leif; Valkama, Mikko

doi:10.1109/vtcfall.2013.6692439

Cited by 29 publications

(34 citation statements)

References 17 publications

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“…Channel capacity under ORA scheme with SC diversity can be obtained by substituting (48) into (29), and following the identical rule of procedure as given in Section 4.1, the final expression is represented as follows:…”

Section: Optimal Rate Adaptationmentioning

confidence: 99%

“…By considering large in (29), substituting (48) into (29), with the aid of Prudnikov et al [44,Eq. (2.6.21.…”

Section: Optimal Rate Adaptationmentioning

confidence: 99%

“…16,26 The closeness of the IG with LN has been substantiated using Kullback-Leibler divergence (KLD). [26][27][28] But the composite structure with more generalised multipath fading such as − /IG, − /IG, and − /IG are presented either in finite/infinite series expansions 29,30 or as sum of the mixture of IG distributions. 16 The use of IG in composite fading has been examined thoroughly by research community and the closed-form PDF results have been obtained.…”

Section: Introductionmentioning

confidence: 99%

“…16 The use of IG in composite fading has been examined thoroughly by research community and the closed-form PDF results have been obtained. [26][27][28] But the composite structure with more generalised multipath fading such as − /IG, − /IG, and − /IG are presented either in finite/infinite series expansions 29,30 or as sum of the mixture of IG distributions. 31 Therefore, researchers presented a new model known as inverse gamma (I-Gamma) as a substitute that lies in between gamma and IG, such that it facilitates evaluating the closed-form solutions of the composite PDF.…”

Section: Introductionmentioning

confidence: 99%

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Error probability and channel capacity analysis of wireless system over inverse gamma shadowed fading channel with selection diversity

Pant

Chauhan

Soni

2019

Int J Communication

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In this paper, we present an analytical framework to analyse the error probability and the channel capacity of the inverse gamma (I-Gamma) shadowed fading channel. First, the work discusses the utility of the I-Gamma over log-normal (LN) and gamma fading models where the closeness of I-Gamma with other existing shadowing models is carried out. Utilising the probability density function (PDF) of the I-Gamma shadowed fading channel, various metrics of the communication system, namely, the average symbol error probability (SEP), the channel capacity under optimal rate adaptation (ORA), channel inversion with fixed rate (CIFR), and truncated CIFR (TIFR) are derived. Further, the work is extended to derive a novel selection combining (SC) PDF, and the analytical results for the SEP and the channel capacity of SC diversity are presented. Furthermore, we also provide simpler asymptotic expressions for the average SEP. In addition, the simplified high and low signal-to-noise-ratio (SNR) solutions to channel capacity are also provided. The derived mathematical formulations have been endorsed by comparing with Monte Carlo simulations. KEYWORDSBessel K, bit error rate, capacity, distribution, fading Int J Commun Syst. 2019;32:e4083.wileyonlinelibrary.com/journal/dac

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Section: Optimal Rate Adaptationmentioning

confidence: 99%

“…By considering large in (29), substituting (48) into (29), with the aid of Prudnikov et al [44,Eq. (2.6.21.…”

Section: Optimal Rate Adaptationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Error probability and channel capacity analysis of wireless system over inverse gamma shadowed fading channel with selection diversity

Pant

Chauhan

Soni

2019

Int J Communication

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“…The κ-µ shadowed fading model was introduced in [1], and right after in [2] in an independent work, as a generalization of the popular κ-µ model proposed by Yacoub [3]. Other generalizations of the κ-µ distribution using the inverse Gamma distribution [4], the inverse Gaussian distribution [5], and a multiplicative composition with the Gamma distribution [6], are also available in the literature. Recently, it was shown that the apparently unrelated η-µ distribution was also a particular case of the κ-µ shadowed distribution [7], thus encapsulating this set of popular and general fading distributions in the literature in a single model.…”

Section: Introductionmentioning

confidence: 99%

The $\kappa$- $\mu$ Shadowed Fading Model With Integer Fading Parameters

López‐Martínez

Paris

Romero-Jerez

2017

IEEE Trans. Veh. Technol.

109

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We show that the popular and general κ-µ shadowed fading model with integer fading parameters µ and m can be represented as a mixture of squared Nakagami-m (or Gamma) distributions. Thus, its PDF and CDF can be expressed in closed-form in terms of a finite number of elementary functions (powers and exponentials). The main implications arising from such connection are then discussed, which can be summarized as: (1) the performance evaluation of communication systems operating in κ-µ shadowed fading becomes as simple as if a Nakagami-m fading channel was assumed; (2) the κ-µ shadowed distribution can be used to approximate the κ-µ distribution using a closed-form representation in terms of elementary functions, by choosing a sufficiently large value of m; and (3) restricting the parameters µ and m to take integer values has limited impact in practice when fitting the κ-µ shadowed fading model to field measurements. As an application example, the average channel capacity of communication systems operating under κ-µ shadowed fading is obtained in closed-form.1 In order to avoid any confusion between the m parameter of the κ-µ shadowed fading model and the homonymous parameter of the Nakagami-m fading model, we use a m with a superscript to denote the latter.

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Outage probability and error rate analysis of full duplex relay in asymmetric fading channels

Mubarik,

Begh

2023

Int J Communication

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SummaryFull duplex (FD) technique has evolved as a viable solution to address the spectrum scarce issue. It has gained research interest for its potential to double the wireless link capacity and enhance spectral efficiency (SE). In this paper, the end‐to‐end performance of an amplify‐and‐forward full duplex relay(FDR) in asymmetric Rayleigh–Rician fading channels is explored, unlike the other works that assume symmetric fading conditions in both the links. The asymmetric or mixed fading channels properly model the realistic communication scenarios like satellite/terrestrial wireless communication systems. In this work, we consider that the source‐relay link experiences Rayleigh fading and the relay‐destination link experiences Rician fading. The novel exact and lower bound closed form analytical expressions for outage probability (OP) and bit error rate (BER) for the considered FD system are derived. Moreover, the effect of severity of fading and the amount of residual self‐interference (RSI) on the performance of FDR are also studied. In addition, MC simulations are carried out to validate the results. It is observed that the performance metrics, OP and BER, are highly dependent on the severity of fading and the amount of RSI. Furthermore, it is found that typically at the SNR of 10 dB, an improvement of approximately 27.6% in OP is obtained. Also, our work offers appreciable SNR gain, for example, for a BER of 10−2, an SNR improvement of around 11 dB is achieved. These findings have been compared with the mixed Rayleigh–Rician fading channel conditions considering only half duplex(HD) mode. These parameter metrics are helpful in analyzing the performance of FD in various communication scenarios such as LoS/NLoS conditions and hence pave the way for more realistic FDR.

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The kappa-#181;/Ig Composite Statistical Distribution in RF and FSO Wireless Channels

Cited by 29 publications

References 17 publications

Error probability and channel capacity analysis of wireless system over inverse gamma shadowed fading channel with selection diversity

Error probability and channel capacity analysis of wireless system over inverse gamma shadowed fading channel with selection diversity

The $\kappa$- $\mu$ Shadowed Fading Model With Integer Fading Parameters

Outage probability and error rate analysis of full duplex relay in asymmetric fading channels

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