Publications (3)2.15 Total impact
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ABSTRACT: An important factor in electromagnetic wave propagation simulation, performed by a 3D ray-tracing method is the modeling of the environment. Results being sensitive to descriptive accuracy, this paper presents a study on the effect of indoor environment modeling precision on MIMO (Multiple Input Multiple Output) channel characterization. In order to give some diversity to the results, the investigation takes into account two unfurnished indoor environments. The ﬁrst environment investigated is the entrance hall of a building at the University of Poitiers, while the second is a more conﬁned environment and is represented by the ﬁrst ﬂoor of the authors' laboratory. For these two indoor environments, four levels of description are proposed in order to establish the geometrical and electrical modeling impact on MIMO channel characterization. Results are obtained by analyzing the capacity, variation in correlation, multipath richness and eigenvalues in relation to the polarization, the presence of LOS or NLOS ((Non)Line-of-Sight) conﬁgurations. The effects of the spacing between antennae and the number of transmitter and receiver antennae are also investigated.IEEE Transactions on Antennas and Propagation 05/2009; · 2.15 Impact Factor
Article: Application of information criteria for the selection of the statistical small scale fading model of the radio mobile channel[show abstract] [hide abstract]
ABSTRACT: Modeling of radio channel behavior is very important for digital communication. It is the reason why several propagation models have been implemented to take into account the electromagnetic phenomena inherent to the radio wave channel. So, among these models is the family of statistical distributions, fast in computation time, to describe channel fast fading. In this study context, our problematic is to find among the different statistical laws the one which best coincides with radio channel behavior. Different research has been realized on this subject over about 20 years. Thus, the Kolmogorov–Smirnov (KS) test using cumulative distribution functions (CDF) is usually employed by the radio mobile community partly for its simplicity. Nevertheless, there exist other approaches like Kulback–Leibler (KL) divergence, which consider distances between probability density functions that may be respresented as histograms. The bins of those histograms are obtained empirically, i.e. the bins are same size and their number is arbitrary. The authors propose approaches allowing optimal histograms in terms of the number and size of bins. These approaches are based on information criteria and we show that the KL discriminative method is more stable with the optimal histograms than with the empirical one. Moreover, our approaches are more reliable than the KS test whatever the number of considered samples. This last point is directly connected to the campaign of measures or of deterministic simulations, the duration of which can be very significant.AEU - International Journal of Electronics and Communications.
Article: Application of information criteria for the selection of statistical fast fading model of the radio mobile channelInt. Journal of Electronics and Communications.