Performance analysis of spatial modulation over generalized <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e370" altimg="si157.svg"><mml:mrow><mml:mi>α</mml:mi><mml:mo linebreak="goodbreak" linebreakstyle="after">−</mml:mo><mml:mi>κ</mml:mi><mml:mo linebreak="goodbreak" linebreakstyle="after">−</mml:mo><mml:mi>μ</mml:mi></mml:mrow></mml:math> fading distribution

Kalia, Samriti; Joshi, Alok; Agrawal, Anand

doi:10.1016/j.phycom.2019.04.010

Cited by 8 publications

(2 citation statements)

References 27 publications

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“…It makes rapid changes in the received signal amplitude and occurs at a fraction of the wavelength; hence, it is called small-scale fading. So far, many distributions (e.g., Rayleigh, Rician, Hoyt, Gamma, Nakagami-m, Weibull, α-µ, κ-µ, η-µ, and α-κ-µ) have been proposed to model the small-scale fading effects [1][2][3][4][5][6][7]. Composite fading occurs when the receiver is under both fading and shadowing effects at the same time.…”

Section: Introductionmentioning

confidence: 99%

Ergodic Capacity and Symbol Error Rate Analysis of a Wireless System with α-μ Composite Fading Channel

Rizi

Falahati

2021

Preprint

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A composite α-µ/Lognormal fading channel is proposed with several channel performance criteria. This model considers the most effective occurrences in a fading channel, mainly non-linearity, multi-cluster nature of propagation medium, and shadowing effects. The new generation of communication systems is moving towards the use of millimetre waves (mmW). In this type of propagation, large-scale effects of fading channel on the received signal are significant, so in the proposed composite model, the lognormal distribution is considered to model large-scale effects of fading, which is the most accurate distribution to model shadowing. The Gaussian-Hermite quadrature sum is used to approximate the probability distribution function (PDF) of the proposed model. After calculating the statistics, the symbol error rate (SER) and ergodic capacity are computed. The Mellin transform technique is used to calculate the SER expression of different modulation schemes; then, ergodic capacity is computed for a diverse frequency spectrum. Finally, the Monte Carlo method is used to evaluate the analyses.

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Section: Introductionmentioning

confidence: 99%

Ergodic Capacity and Symbol Error Rate Analysis of a Wireless System with α-μ Composite Fading Channel

Rizi

Falahati

2021

Preprint

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“…In [4], the authors have derived the secrecy outage probability expression for analysing the secrecy performance of wireless systems over

α

–

κ

–

μ

fading channel. In [5], the author derived BER equation for spatial modulation system based on moment generating function (MGF) by incorporating

α

–

κ

–

μ

fading. In [6], the author proposed derivation in differential QPSK/OFDM systems over multipath fading channels.…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of OFDM systems over α – κ – μ fading

Kalia¹,

Joshi²,

Agrawal³

2019

Electron. lett.

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In this Letter, the authors derive the moment generating function-based BER expressions for binary phase shift keying and M-QAM signal for OFDM systems over a-k-m fading. This fading model is known as the generalised fading model because it can accurately characterise all the well known small-scale fading models given in the literature. In order to validate the derived BER expressions, analytical and simulated BER curves for a variety of modulation formats at different values of fading parameters are also shown in the letter.

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