A tight approximate analytical framework for performance analysis of equal gain combining receiver over independent Weibull fading channels

Bessate, Abdelmajid; Bouanani, Faïssal El

doi:10.1186/s13638-016-0790-2

Cited by 4 publications

(7 citation statements)

References 22 publications

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“…These assumptions allow the Tx to adopt its power and rate according to the actual channel state. The channel capacity under this policy is defined as

C_{o p r a} = B true \int_{γ_{0}}^{\infty} \log_{2} ((), \frac{γ}{γ_{0}}) f_{Y} false(γ false) d γ,

where B is the channel bandwidth and γ 0 is the optimal cut‐off SNR below which transmission is suspended. The optimal cut‐off SNR must satisfy the relation p ( γ 0 )=0, with p (.)…”

Section: Performance Analysismentioning

confidence: 99%

“…The optimal cut‐off SNR must satisfy the relation p ( γ 0 )=0, with p (.) is given as

p false(γ_{0} false) ≅ \underset{I_{1}}{\underset{⏟}{true \int_{γ_{0}}^{\infty} \frac{1}{γ_{0}} f_{Y} false(γ false) d γ}} - \underset{I_{2}}{\underset{⏟}{true \int_{γ_{0}}^{\infty} \frac{1}{γ} f_{Y} false(γ false) d γ}} - 1 .

…”

Section: Performance Analysismentioning

confidence: 99%

“…These assumptions allow the Tx to adopt its power and rate according to the actual channel state. The channel capacity under this policy is defined as 26,27…”

Section: Optimal Power Rate Adaptationmentioning

confidence: 99%

See 2 more Smart Citations

Performance analysis of wireless communication system over nonidentical cascaded generalised gamma fading channels

Chauhan¹,

Rana

Kumar

et al. 2019

Int J Communication

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Summary Multiplicative fading statistics usually encountered in different radio propagation environments. In this context, we evaluate and analyse the performance of a wireless communication system over the nonidentical cascaded generalised Gamma Fading Channels, also known as generalised Bessel‐K fading channel. To this end, the closed‐form expressions for the amount of fading (AOF), the outage probability (OP), the average symbol error probability (SEP), and the channel capacity are derived. In addition approximate expressions for the average SEP with maximal ratio combining (MRC) diversity are also provided. The low‐ and high‐power solutions for the channel capacity are also provided. Furthermore, simplified asymptotic average SEP expressions for MRC and selection combining (SC) are presented to gain the system performance with diversity. The proposed methodologies provide more flexibility to accommodate different radio propagation scenarios. To examine the accuracy of the proposed solutions, numerical and simulation results are compared and shown to fit for variety of fading parameters.

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“…These assumptions allow the Tx to adopt its power and rate according to the actual channel state. The channel capacity under this policy is defined as

C_{o p r a} = B true \int_{γ_{0}}^{\infty} \log_{2} ((), \frac{γ}{γ_{0}}) f_{Y} false(γ false) d γ,

where B is the channel bandwidth and γ 0 is the optimal cut‐off SNR below which transmission is suspended. The optimal cut‐off SNR must satisfy the relation p ( γ 0 )=0, with p (.)…”

Section: Performance Analysismentioning

confidence: 99%

“…The optimal cut‐off SNR must satisfy the relation p ( γ 0 )=0, with p (.) is given as

p false(γ_{0} false) ≅ \underset{I_{1}}{\underset{⏟}{true \int_{γ_{0}}^{\infty} \frac{1}{γ_{0}} f_{Y} false(γ false) d γ}} - \underset{I_{2}}{\underset{⏟}{true \int_{γ_{0}}^{\infty} \frac{1}{γ} f_{Y} false(γ false) d γ}} - 1 .

…”

Section: Performance Analysismentioning

confidence: 99%

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Performance analysis of wireless communication system over nonidentical cascaded generalised gamma fading channels

Chauhan¹,

Rana

Kumar

et al. 2019

Int J Communication

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“…By combining adaptive transmission techniques and diversity techniques, better performance of the system is achieved. Analysis of the capacities of such systems by using adaptive transmission algorithms and diversity techniques over α − µ, κ − µ, Nakagami-m, Weibull and Rayleigh fading channels are investigated in (Mohamed et al, 2013;Panić et al, 2013;Bessate & El, 2017;Simon & Alouini, 2005b).…”

Section: Introductionmentioning

confidence: 99%

Analysis of Shannon capacity for SC and MRC diversity systems in α - κ - μ fading channel

Savic¹,

Smilić²,

Jakšić³

2018

Univ thought Publ nat sci

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In this paper, the analysis of Shannon capacity for selection combining (SC) and maximal ratio combining (MRC) diversity systems in the generalized α − κ − µ fading channel is presented. Closed-form expressions for probability density function (PDF) at the output of SC and MRC diversity systems are given. Also, closed-form expressions for Shannon capacity for cases of SC diversity with independent and identically distributed branches, MRC diversity with independent and identically distributed branches and for case of no diversity are derived. The obtained results are numerically calculated and graphically presented for different combinations of fading parameters α, κ and µ.

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“…This model evaluates the system performance in diversity scenario. Further, authors (Bessate and El Bouanani, 2014, 2017; Cheng et al , 2003; Karagiannidis et al , 2005a) have explored the effect of Weibull fading severity and correlation on overall system performance with receiver combining techniques.…”

Section: Introductionmentioning

confidence: 99%

Symbol error rate of MIMO single and double-Weibull fading channels with OSTBC and MRC

Tiwari

Saini

Bhooshan

2018

WJE

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Purpose This paper aims to exploit an orthogonal space-time block code (OSTBC) and maximal ratio combining (MRC) techniques to evaluate error rate performance of multiple-input multiple-output system for different modulation schemes operating over single- and double-Weibull fading channels. Design/methodology/approach The authors provided a novel analytical expression for cumulative distribution function (CDF) of double-Weibull distribution in the form of Meijer-G function. They also evaluated probability density function (PDF) and CDF for single- and double-Weibull random variables. CDF-based closed-form expressions of symbol error rate (SER) are computed for the proposed systems’ design. Findings Based on simulation and analytical results, the authors have shown that double-Weibull fading which shows the cascaded nature of channel gives significantly poor SER performance compared to that of single-Weibull fading. Moreover, MRC offers an improved error rate performance compared to that of OSTBC. As the fading parameter increases for any modulation technique, the required signal-to-noise ratio (SNR) gap between single- and double-Weibull fading decreases. Finally, it is observed that the analytical results are a good approximation to simulation results. Practical implications For practical implication, the authors use a number of antennas at the base station, but solely to maximize performance, one can use receive diversity, i.e. MRC. Originality/value Using higher-order modulation (i.e. 16-QAM), 4 and 1 dB less SNR is required at high and less fading, respectively, in single-Weibull fading as compared to double-Weibull fading. Hence, at higher-order modulation, double-Weibull channel model performs better as compared to lower-order modulation.

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A tight approximate analytical framework for performance analysis of equal gain combining receiver over independent Weibull fading channels

Cited by 4 publications

References 22 publications

Performance analysis of wireless communication system over nonidentical cascaded generalised gamma fading channels

Performance analysis of wireless communication system over nonidentical cascaded generalised gamma fading channels

Analysis of Shannon capacity for SC and MRC diversity systems in α - κ - μ fading channel

Symbol error rate of MIMO single and double-Weibull fading channels with OSTBC and MRC

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