Performance of Gaussian and hyperbolic scattering channels in mobile OFDM systems

Lê, Khoa N.

doi:10.1016/j.dsp.2009.06.008

Cited by 3 publications

(4 citation statements)

References 16 publications

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“…It is clear that methods (i) and (ii) are specific cases of method (iii). Detailed treatment of the ICI power as a function of f d T s , ζ , τ and ε is given in and is not repeated here. Rather, using the findings in , one can examine the effects of f d T s , ζ and ε on channel capacity.…”

Section: Pici Of Gaussian and Hyperbolic Angle‐of‐arrival Probabilitymentioning

confidence: 99%

“…The hyperbolic channel, which was discussed in [12,17], is characterised by its AoA pdf as given in (2):…”

Section: Hyperbolic Channelmentioning

confidence: 99%

“…The hyperbolic channel, which was discussed in , is characterised by its AoA pdf as given in :

\begin{matrix} aligned \\ right p_{H} MathClass-open(θ, τ MathClass-close) = & left \frac{1}{π} \sum_{m = 1, 3, \dots}^{+ \infty} {MathClass-open(- 1 MathClass-close)}^{\frac{m - 1}{2}} e^{- m τ^{2}} & right \\ right & left \times \{\frac{1}{m} + τ \sqrt{\frac{π}{m}} \cos θ e^{m τ^{2} \cos^{2} θ} \\ right & left \times [1 + erf (τ \sqrt{m} \cos θ)]\} \\ right = & left \frac{1}{π} \sum_{m = 1, 3, \dots}^{+ \infty} {MathClass-open(- 1 MathClass-close)}^{\frac{m - 1}{2}} \frac{e^{- m τ^{2}}}{m} \\ right & left + \frac{τ \cos θ}{\sqrt{π}} \sum_{m = 1, 3, \dots}^{+ \infty} \{MathClass-open( \end{matrix}

…”

Section: Introductionmentioning

confidence: 99%

“…It should be noted that research work on ICI in OFDM systems has not been performed extensively in the literature because of the random and complicated nature of ICI. In this paper, the ICI is expressed as a function of the angle‐of‐arrival (AoA) pdf using the Gaussian and hyperbolic scattering channels . Using the ICI closed‐form expressions with specific values of the travelling angle ε , one can obtain the ICI, yielding closed‐form expressions of the channel capacity for OFDM transmission.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive orthogonal frequency division multiplexing channel capacity employing diversity in cellular fading environments with symmetric scattering distributions

Lê

2014

Wirel. Commun. Mob. Comput.

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Gaussian and hyperbolic angle‐of‐arrival probability density functions are used to derive channel capacity of orthogonal frequency division multiplexing transmission employing diversity techniques and adaptive policies in cellular wireless fading environments. The intercarrier interference (ICI) power is quantified and given as a function of Doppler shift fd, symbol duration Ts, frequency correction ζ and propagation ratio τ. Two scattering distributions, which have been shown to closely fit experimental empirical data, are examined in this paper: (i) Gaussian and (ii) hyperbolic. A new signal‐to‐interference‐and‐noise ratio probability density function is derived as a function of the ICI power using diversity techniques and adaptive policies. From that, effects of fdTs, ζ and τ on channel capacity can be discussed. The main contribution of this work is to model ICI as a function of fd and symbol duration Ts. Two diversity techniques are considered: (i) maximal ratio combining and (ii) selective combining. Three adaptive policies are studied: (i) optimal rate adaptation, (ii) optimal rate and power adaptation and (iii) channel inversion with fixed rate. Closed‐form expressions and bounds on various channel capacity with orthogonal frequency division multiplexing transmission under different scenarios are derived. Copyright © 2012 John Wiley & Sons, Ltd.

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Section: Pici Of Gaussian and Hyperbolic Angle‐of‐arrival Probabilitymentioning

confidence: 99%

“…The hyperbolic channel, which was discussed in [12,17], is characterised by its AoA pdf as given in (2):…”

Section: Hyperbolic Channelmentioning

confidence: 99%

“…The hyperbolic channel, which was discussed in , is characterised by its AoA pdf as given in :

\begin{matrix} aligned \\ right p_{H} MathClass-open(θ, τ MathClass-close) = & left \frac{1}{π} \sum_{m = 1, 3, \dots}^{+ \infty} {MathClass-open(- 1 MathClass-close)}^{\frac{m - 1}{2}} e^{- m τ^{2}} & right \\ right & left \times \{\frac{1}{m} + τ \sqrt{\frac{π}{m}} \cos θ e^{m τ^{2} \cos^{2} θ} \\ right & left \times [1 + erf (τ \sqrt{m} \cos θ)]\} \\ right = & left \frac{1}{π} \sum_{m = 1, 3, \dots}^{+ \infty} {MathClass-open(- 1 MathClass-close)}^{\frac{m - 1}{2}} \frac{e^{- m τ^{2}}}{m} \\ right & left + \frac{τ \cos θ}{\sqrt{π}} \sum_{m = 1, 3, \dots}^{+ \infty} \{MathClass-open( \end{matrix}

…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Adaptive orthogonal frequency division multiplexing channel capacity employing diversity in cellular fading environments with symmetric scattering distributions

Lê

2014

Wirel. Commun. Mob. Comput.

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A mathematical approach to edge detection in hyperbolic-distributed and Gaussian-distributed pixel-intensity images using hyperbolic and Gaussian masks

Lê

2011

Digital Signal Processing

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A novel Doppler shift estimation algorithm for OFDM-based transform domain communication systems

Zheng

Guo

2012

2012 IEEE 11th International Conference on Signal Processing

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Performance of Gaussian and hyperbolic scattering channels in mobile OFDM systems

Cited by 3 publications

References 16 publications

Adaptive orthogonal frequency division multiplexing channel capacity employing diversity in cellular fading environments with symmetric scattering distributions

Adaptive orthogonal frequency division multiplexing channel capacity employing diversity in cellular fading environments with symmetric scattering distributions

A mathematical approach to edge detection in hyperbolic-distributed and Gaussian-distributed pixel-intensity images using hyperbolic and Gaussian masks

A novel Doppler shift estimation algorithm for OFDM-based transform domain communication systems

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