Đang chuẩn bị nút TẢI XUỐNG, xin hãy chờ
Tải xuống
Accuracy of depolarization and delay spread predictions using advanced ray-based modeling in indoor scenarios | Mani et al. EURASIP Journal on Wireless Communications and Networking 2011 2011 11 http jwcn.eurasipjournals.eom content 2011 1 11 o EURASIP Journal on Wireless Communications and Networking a SpringerOpen Journal RESEARCH Open Access Accuracy of depolarization and delay spread predictions using advanced ray-based modeling in indoor scenarios Francesco Mani 1 Frangois Quitin1 2 and Claude Oestges1 Abstract This article investigates the prediction accuracy of an advanced deterministic propagation model in terms of channel depolarization and frequency selectivity for indoor wireless propagation. In addition to specular reflection and diffraction the developed ray tracing tool considers penetration through dielectric blocks and or diffuse scattering mechanisms. The sensitivity and prediction accuracy analysis is based on two measurement campaigns carried out in a warehouse and an office building. It is shown that the implementation of diffuse scattering into RT significantly increases the accuracy of the cross-polar discrimination prediction whereas the delay-spread prediction is only marginally improved. Keywords Propagation ray tracing indoor radio communications scattering polarization I. Introduction The characterization of wireless propagation channels may rely either on stochastic or deterministic models 1 . When site-specific predictions are required the choice often falls on deterministic models 2 e.g. raybased techniques. In particular ray tracing RT is a geometrical optics approach that evaluates all paths followed by rays as they interact with the environment. It has been successfully used for many years for macro and microcellular channel modeling. However wireless systems have continuously evolved implying that models should evolve too. While a classical deterministic model may have proved accurate for relatively narrowband cellular systems this might not hold true when dealing with the application-oriented systems exploiting multiple dimensions space .
