Average Symbol Error Rate Analysis of QAM Schemes Over Millimeter Wave Fluctuating Two-Ray Fading Channels

Bilim, Mehmet; Kapucu, Nuri

doi:10.1109/access.2019.2932147

Cited by 30 publications

(28 citation statements)

References 23 publications

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“…We now replace P s ða, bÞ in Equations (14) and (18) with proposed approximationP s ða, bÞ (11) to compute the SEP of HQAM and RQAM over fading distributions and compare it with the exact and simulated values in Figures 7-9, and 10. The exact value of SEP is calculated by solving Equations (14) and 18 Average SNR (dB) than 10 −1 . In reference to Figure 11, the absolute relative error in SEP of RQAM over κ − μ fading falls below 10 −2 for average SNR γ ≥ 30 dB irrespective of the constellation size.…”

Section: Resultsmentioning

confidence: 99%

Generalized solution to symbol error probability integral containing over different fading models

Aggarwal

2020

Int J Communication

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SummaryThis paper presents a generalized solution to the symbol error probability (SEP) integral containing the product of two Gaussian Q‐functions . Numerical integration technique is first used to approximate the polar form of as a sum of exponentials. This approximation is then used to derive a closed‐form solution to the related SEP integral. Due to the exponential nature of the approximation, solution to the integral is expressed in terms of moment generating function (MGF) of a fading distribution. Therefore, the solution to integral exists for all fading distributions which have well‐defined MGF. The mathematical complexity of the proposed solution is directly proportional to the complexity of MGF expression. For most of the fading models, the corresponding MGF involves power or exponential functions, which guarantees algebraic simplicity of the proposed solution. Further, this generalized solution is used to evaluate the SEP of various modulation schemes over different fading channels. Various computer simulations run in MATLAB for wide range of scenarios confirm the accuracy of the proposed approximation and solution.

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Section: Resultsmentioning

confidence: 99%

Generalized solution to symbol error probability integral containing over different fading models

Aggarwal

2020

Int J Communication

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“…Several composite fading models are presented in [36–46], which are based on practical measurements. In [36–39], the performance of millimetre‐wave communication system is analysed over the fluctuating two‐ray fading channel. The channel capacity for Fisher‐Snedecor F channel with different transmission schemes is presented in [40].…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of downlink NOMA over η–µ and κ–µ fading channels

2020

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“…Notable efforts have been made to work the error performance of various systems employing QAM schemes for different fading channels 19‐35 . In Reference 19, the authors presented error performance for maximal ratio combining (MRC) receiver with cross‐QAM (XQAM) techniques over

η - μ

composite fading channels.…”

Section: Introductionmentioning

confidence: 99%

“…In Reference 19, the authors presented error performance for maximal ratio combining (MRC) receiver with cross‐QAM (XQAM) techniques over

η - μ

composite fading channels. In Reference 20, based on the probability density function (PDF) method, the average symbol error rate (ASER) analysis for single‐input‐single‐output (SISO) millimeter‐wave communications with MxN rectangular QAM (RQAM) and MxN XQAM over fluctuating two‐ray fading channels is presented. Kumar and Bhatia proposed the exact ASER expressions of RQAM for two‐ray relaying systems in the presence of Nakagami‐ m fading conditions 21 .…”

Section: Introductionmentioning

confidence: 99%

“…Although the results from References 19‐35 are insightful, these studies fall short in analyzing the QAM schemes for body‐centric communications and in modeling bimodality characteristics in a wireless link. Moreover, as a significant fading model, the alternate Rician shadowed (ARS) fading environments in a system has not been investigated in the aforementioned literature.…”

Section: Introductionmentioning

confidence: 99%

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Different QAM schemes analyses for ARS fading channels

Bilim

2020

Trans Emerging Tel Tech

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Quadrature amplitude modulation (QAM) techniques are employed for various communication systems due to its advantages such as efficient bandwidth and high rate. In this paper, the average symbol error rate (ASER) performances of single‐input single‐output networks are investigated to address the different QAM schemes combined use. The link in the network experiences the alternate Rician shadowed (ARS) fading which has the benefit of contributing left or right‐sided bimodality. Four different QAM schemes such as rectangular QAM, cross‐QAM, hexagonal QAM, and square QAM are used for the considered network. Under these assumptions, new closed‐form expressions for the ASER in terms of elementary functions and Meijer's G functions are derived. The derived ASER expressions are obtained by employing the Prony approximation with two terms which has fractional coefficients to provide precise results. Based on the second‐order exponential function approximation for Gaussian Q‐function, the ASER expressions of the considered system are also proposed. Additionally, we provide other important engineering insights based on the high signal‐to‐noise‐ratio analysis of the ASER performance over ARS fading channels. Finally, all our theoretical results are confirmed with simulations.

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Average Symbol Error Rate Analysis of QAM Schemes Over Millimeter Wave Fluctuating Two-Ray Fading Channels

Cited by 30 publications

References 23 publications

Generalized solution to symbol error probability integral containing over different fading models

Generalized solution to symbol error probability integral containing over different fading models

Performance analysis of downlink NOMA over η–µ and κ–µ fading channels

Different QAM schemes analyses for ARS fading channels

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