B. H. Fleury and P. E. Leuthold, "Radiowave propagation in mobile communications: An overview of European research," IEEE Commun. Mag., vol. 34, pp. 70--81, Feb. 1996.  Home/Search   Document Not in Database   Summary   Related Articles   Check

.... ) for xed is assumed to be a WSS process, i.e. E[h(t; and E[h(s; h (t; RH (s t; We can also have h(t; uncorrelated for di erent values of . This is called uncorrelated scattering (US) Often these two simplifying features are combined (see Fleury, et al.[7]) leading to the consideration of WSSUS fading channels. For a WSSUS channel, the second moments of h have the form E[h(t; h (s; RH (t s; 10) Finally, it is often assumed that the random process h is a complex Gaussian random process. See for example the urban propagation ....

....of WSSUS fading channels. For a WSSUS channel, the second moments of h have the form E[h(t; h (s; RH (t s; 10) Finally, it is often assumed that the random process h is a complex Gaussian random process. See for example the urban propagation model or the GSM propagation model [7]. In this paper we assume that h is WSSUS, Gaussian, and mean zero. The second variable, indexes the path delays, and we also assume that h(t; 0 unless 2 [0; Tmax ] where Tmax is a bound on the maximum delay spread of the channel. Such a model, for suitable choices of RH , ts ....

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B. H. Fleury and P. E. Leuthold, \Radiowave propagation in mobile communications: An overview of European research," IEEE Communications Magazine, vol. 34, pp. 70-81, Feb 1996.

....hopping, orthogonal frequency division multiplex (OFDM) and multicarrier transmission, adaptive modulations, etc. The relative performances of these technologies much depend on the spatial and temporal characteristics of the channel and, therefore, realistic models of the channels are needed [1], 2] The authors have been working on the spatio temporal channel characterization by using a combination of the deterministic ray tracing approach and the statistical random phase approach [3] This hybrid approach has been examined in comparison with various experimental results [4] 11] The ....

B. Fleury and P. Leuthold, "Radiowave propagation in mobile communications: An overview of European research," IEEE Commun. Mag., vol. 34, pp. 70--81, Feb. 1996.

....duration is 2. Assuming the carrier frequency GHz and a maximum velocity of m s for indoor applications, the coherence time becomes [23] ms, so that for a burst length of symbols the channel can be seen as time invariant. The channel model is based on measurements for frequencies around 2. 2 GHz [24], 25] The nonline of sight indoor model Pic2 is used which is characterized by a maximum delay of 500 ns and a coherence bandwidth of 2.5 MHz. Fig. 3 shows for users the uncoded BER of PIC with and stages compared to the performance of the RAKE receiver and the matched filter bound (MFB) It ....

B. Fleury and P. Leuthold, "Radiowave propagation in mobile communications: An overview of European research," IEEE Commun. Mag., vol. 34, pp. 70--81, Feb. 1996.

....E[h(s; h (t; RH (s Gamma t; It is also assumed that h(t; is a Gaussian random process. We also have h(t; uncorrelated for different values of . This is called uncorrelated scattering (US) Most stochastic models of wireless channels combine these two features (see Fleury, et al.[5]) and consider what are called WSSUS fading channels. We denote the multipath delay spread by Tmax , the dopplerspread by Fd , and the coherence time by T coherence . We 2 Refer to Bigleri, et al. 4] for a discussion on this. refer to Clarke [6] Bello [7] and Proakis [8, Chapter 14] for a ....

B. H. Fleury and P. E. Leuthold, "Radiowave propagation in mobile communications: An overview of european research," IEEE Communications Magazine, vol. 34, pp. 70--81, Feb 1996.

....assumed to be a WSS process, i.e. E[h(t; and E[h(s; h (t; RH (s Gammat; We can also have h(t; uncorrelated for different values of . This is called uncorrelated scattering (US) Most stochastic models of wireless channels combine these two features (see Fleury, et al.[7]) and consider what are called WSSUS fading channels. It is assumed in this thesis that h(t; is a generalized Gaussian random process. This is also a common assumption in practice. In addition, we assume that h(t; is a mean zero random process. These models fit empirical measurement data and ....

....common assumption in practice. In addition, we assume that h(t; is a mean zero random process. These models fit empirical measurement data and have been used 2 extensively in evaluating the performance of various systems like GSM, ATDMA, IS 95, etc. as mentioned in the COST and CODIT studies [7]. The channel model allows for two extreme cases, namely, specular where there is a set of distinct paths, and diffuse where there is a continuum of irresolvable paths. The general WSSUS model allows for a mixture of these two extremes [8] We denote the multipath delay spread by T max , the ....

B. H. Fleury and P. E. Leuthold, "Radiowave propagation in mobile communications: An overview of European research," IEEE Communications Magazine, vol. 34, no. 2, pp. 70--81, Feb 1996.

.... ) for xed is assumed to be a WSS process, i.e. E[h(t; and E[h(s; h (t; RH (s t; We can also have h(t; uncorrelated for di erent values of . This is called uncorrelated scattering (US) Often these two simplifying features are combined (see Fleury, et al.[7]) leading to the consideration of WSSUS fading channels. For a WSSUS channel, the second moments of h have the form E[h(t; h (s; RH (t s; 10) Finally, it is often assumed that the random process h is a complex Gaussian random process. See for example the urban propagation ....

....of WSSUS fading channels. For a WSSUS channel, the second moments of h have the form E[h(t; h (s; RH (t s; 10) Finally, it is often assumed that the random process h is a complex Gaussian random process. See for example the urban propagation model or the GSM propagation model [7]. In this paper we assume that h is WSSUS, gaussian, and mean zero. The second variable, indexes the path delays, and we also assume that h(t; 0 unless 2 [0; T max ] 8 where T max is a bound on the maximum delay spread of the channel. Such a model, for suitable choices of RH , ts ....

[Article contains additional citation context not shown here]

B. H. Fleury and P. E. Leuthold, \Radiowave propagation in mobile communications: An overview of European research," IEEE Communications Magazine, vol. 34, pp. 70{ 81, Feb 1996. 36

....location. Furthermore, the SRCM includes the waves polarization and it allows to consider communication systems with many antennas. 2 3 Channel Dispersion Conversely to common practice, the basic concept of the SRCM is not the CIR, but the field delaydirection spread function (FDDSF) E#x; #; [13]. The vector x denotes the antenna location and # and# are the delay and direction variables. The direction# is uniquely determined by the azimuth # and the coelevation # in a spherical coordinate system, and vice versa. While the characterization by means of the FDDSF seems to be complicated ....

B.H. Fleury, P.E. Leuthold, "Radiowave Propagation in Mobile Communications: An Overview of European Research," IEEE Commun. Mag., vol. 34, pp. 70-81, Feb. 1996.

....location. Furthermore, the SRCM includes the waves polarization and it allows to consider communication systems with many antennas. III Channel Dispersion Conversely to common practice, the basic concept of the SRCM is not the CIR, but the field delay direction spread function (FDDSF) E#x; #; # [13]. The vector x denotes the antenna location and # and# are the delay and direction variables. The direction# is uniquely determined by the azimuth # and the coelevation # in a spherical coordinate system, and vice versa. While the characterization by means of the FDDSF seems to be complicated ....

B.H. Fleury, P.E. Leuthold, "Radiowave Propagation in Mobile Communications: An Overview of European Research," IEEE Commun. Mag., vol. 34, pp. 70-81, Feb. 1996.

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B. H. Fleury and P. E. Leuthold, "Radiowave propagation in mobile communications: An overview of European research," IEEE Commun. Mag., vol. 34, pp. 70--81, Feb. 1996.

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B. H. Fleury and P. E. Leuthold, "Radiowave propagation in mobile communications: An overview of European research," IEEE Commun. Mag., vol. 34, pp. 70--81, Feb. 1996.

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B.H. Fleury and P.E. Leuthold, "Radiowave Propagation in Mobile Communications: An Overview of European Research", IEEE Communications Magazine , Feb. 1996,. pp 70 - 81.

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B. H. Fleury and P. E. Leuthold, "Radiowave propagation in mobile communications: An overview of European research," IEEE Comm. Mag., vol. 34, pp. 70--81, Feb. 1996.

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