Spatio-temporal channel characterization in a suburban non line-of-sight microcellular environment

Abstract

This paper reports a spatio-temporal channel characterization of a suburban non line-of-sight microcellular environment in which azimuth-delay profiles obtained by the experiment are compared with ray-tracing simulation. The results are statistically treated step by step to extract model parameters in order to characterize the spatio-temporal channel. The experimental results we obtain are used to improve the accuracy of the simulation process. We are able to obtain a very good agreement between the simulation and the experiment, with the exception of the exponential decay of the delay profile. The results presented in the paper can be directly used to implement the stochastic spatio-temporal channel model, based on the deterministic ray-tracing simulations. Index Terms-Land mobile radio propagation factors, multipath chanels, ray tracing. I. INTRODUCTION T HE RECENT progress of the high data-rate wireless communication systems, such as IMT-2000 and IEEE 802.11, is obvious. From the viewpoint of the radiowave propagation, however, these systems exhibit the following disadvantages. • In order to increase the data rate, the broadband channels are necessary. The carrier frequency needs to be increased for this purpose. However, both the free space path loss and the diffraction loss increase according to any increase in the frequency. • The channel spreading factor, , where is the maximum Doppler spread and is the maximum delay spread, also increases as a function of the carrier fre

Empirical Models of the Azimuthal Reception Angle—Part I: Comparative Analysis of Empirical Models for Different Propagation Environments

“…Unlike other scenarios, the measurement results were obtained for the fixed positions of Tx and Rx. Thus, the empirical data from Leeds [42] and Yokosuka [44] do not account for the spatial averaging of measurements. This means that the evaluation of PDF of AAOA requires not only defining the model, type of environment, but also the choice of an appropriate measure for measurement campaign.…”

“…With respect to empirical PDF, it means a unimodal function type. Compared to [20], here the set of measurement results is limited to seven scenarios that are described in [21,[42][43][44][45][46]. Out of all unimodal, empirical PDFs that are included in [20], the measurement data from [47] are not contained in this paper.…”

“…Reference data are derived from the measurements that have been made in both rural environment [43] as well as urban environment with different density of buildings [21,42,[44][45][46]. The type of propagation environment is determined by the height of the receiving antenna location relative to the mean height of buildings.…”

Impact of Sectorization/Vehicular Traffic on Minimum Cell Size for Information Capacity Increase in Cellular Systems

“…Thus the UHF bands (900 and 1900 MHz) normally used for cellular wireless communication are not suitable for wireless broadband application. For broadband channels carrier frequency needs to be increased [6]. Therefore, future and emerging cellular wireless communication systems beyond the third generation (B3G) will be accommodated at carrier frequencies greater than 2 GHz [6]- [8].…”

“…An increase in the path loss means cell size radius needs to be reduced to smaller radius. For smaller cell size radius cellular system co-channel interference becomes severe and more difficult to control [6].…”