A statistical discrete-time model for the WSSUS multipath channel

Hoeher, Peter Adam

doi:10.1109/25.182598

Cited by 515 publications

(217 citation statements)

References 6 publications

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“…The motivation to select an SOS-based channel simulator is that such simulators are widely acknowledged to be simple but efficient to model mobile radio fading channels under isotropic scattering conditions [30]. In addition, the concept of SOS has found its application in the design of channel simulators for temporally correlated frequency-nonselective channels [30,38], frequencyselective channels [39,40], and space-selective channels [12,[41][42][43]. However, in order to reproduce the desired channel characteristics in simulations, a careful selection of the simulator parameters is essential.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…However, in order to reproduce the desired channel characteristics in simulations, a careful selection of the simulator parameters is essential. For this reason, several methods for an accurate computation of the model parameters of SOS simulators have been developed [39,40,[44][45][46][47]. One such method for the parameter computation, which is referred to as the generalized method of exact Doppler spread (GMEDS 1 ) [48], has been employed in this work.…”

Section: Numerical Resultsmentioning

confidence: 99%

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Mobile-to-mobile fading channels in amplify-and-forward relay systems under line-of-sight conditions: statistical modeling and analysis

Talha

Pätzold

2010

Ann. Telecommun.

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This paper deals with the modeling and analysis of narrowband mobile-to-mobile (M2M) fading channels for amplify-and-forward relay links under line-of-sight (LOS) conditions. It is assumed that a LOS component exists in the direct link between the source mobile station (SMS) and the destination mobile station (DMS), as well as in the links via the mobile relay (MR). The proposed channel model is referred to as the multiple-LOS second-order scattering (MLSS) channel model. The MLSS channel model is derived from a second-order scattering process, where the received signal is modeled in the complex baseband as the sum of a single and a double scattered component. Analytical expressions are derived for the mean value, variance, probability density function (PDF), cumulative distribution function (CDF), level-crossing rate (LCR), and average duration of fades (ADF) of the received envelope of MLSS channels. The PDF of the channel phase is also investigated. It is observed that the LOS components and the relay gain have a significant influence on the statistics of MLSS channels. It is also shown that MLSS channels include various other channel models as special cases, e.g., double Rayleigh channels, double Rice channels, single-LOS doublescattering (SLDS) channels, non-line-of-sight (NLOS) second-order scattering (NLSS) channels, and single-LOS second-order scattering (SLSS) channels. The correctness of all analytical results is confirmed by simulations using a high performance channel simulator. Our novel MLSS channel model is of significant importance for the system level performance evaluation of M2M communication systems in different M2M propagation scenarios. Furthermore, our studies pertaining to the fading behavior of MLSS channels are useful for the design and development of relay-based cooperative wireless networks.

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Section: Numerical Resultsmentioning

confidence: 99%

Section: Numerical Resultsmentioning

confidence: 99%

Mobile-to-mobile fading channels in amplify-and-forward relay systems under line-of-sight conditions: statistical modeling and analysis

Talha

Pätzold

2010

Ann. Telecommun.

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“…Figure 3 shows the estimation of the propagation channel by the cross-relation method. Figure 4 shows the estimated impulse response of the propagation channel for COST-207 [4] . Figure 5 shows the relative error estimation for training method and blind method.…”

Section: Gmsk Approximationmentioning

confidence: 99%

Weighted Semi-Blind Channel Identification by Cross Relation Method

Taba¹,

Femmam²

2009

American J. of Applied Sciences

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Problem statement:The bandwidth efficiency of many communication systems could be improved if the transmission channel was estimated blindly without resort to training sequences. GMSK was a spectrum-efficient modulation scheme and it was adopted as the modulation standard of GSM systems. Approach: However, because of its phase modulation, Gaussian filtering and partial response signalling properties, Results: The simulation results showed great potential of semi-blind identification algorithms, since we used no extra antenna or over-sampling the received signal. Conclusion: GMSK was not a linear modulation. Linear approximation of the GMSK signal made the blind equalization system model applicable for GSM. In the sequel, a linear approximation of GMSK signals was presented and a blind GSM and semi-blind channel identification algorithm based on the cross relation method was suggested.

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“…The Monte Carlo based approximation [2] assumes that the time-varying channel is composed of M independent echoes. Each echo corresponds to a phase @, , , a delay r, and a Doppler frequency f D n , where on, tn and fDn are continuous, mutually independent random variables (RVs), 1 5 n 5 M.…”

Section: The Wssus Channel Modelmentioning

confidence: 99%

“…In this study, we apply ordered statistics decoding to mobile radio communication channels without previous assumptions. In particular, the error performance of ordered statistics decoding on the wide-sense-stationary uncorrelatedscattering (WSSUS) multipath channel [2] which exhibits uncorrelated dispersiveness in time delay and Doppler shifts is investigated.…”

Section: Introductionmentioning

confidence: 99%

Ordered statistics decoding of linear block codes on frequency nonselective multipath channels

Chen

Hwang

2000

IEEE J. Select. Areas Commun.

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ABSTRATCT: The ordered statistics decoding algorithm proposed in [ 1 J is applied to the wide-sense-stationary uncorrelated-scattering (WSSUS) Rayleigh fading channel [2], modeled as a frequency non-selective, slow-fading environment without inter-symbol interference (ISI). We derive the log-likelihood ratio of received symbols based on 2DPSK transmission. Simulations are conducted for the WSSUS channel at various interleaving degrees. At bit error rate (BER) lo-', 38 dB gains compared to uncoded 2DPSK are obtained for the decoding of the (128, 64, 22) extended BCH code with interleaving degree 50.

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A statistical discrete-time model for the WSSUS multipath channel

Cited by 515 publications

References 6 publications

Mobile-to-mobile fading channels in amplify-and-forward relay systems under line-of-sight conditions: statistical modeling and analysis

Mobile-to-mobile fading channels in amplify-and-forward relay systems under line-of-sight conditions: statistical modeling and analysis

Weighted Semi-Blind Channel Identification by Cross Relation Method

Ordered statistics decoding of linear block codes on frequency nonselective multipath channels

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