Fri, 08 Aug 2008 19:24:59 BST CiteULike: dcastros Rappaport http://www.citeulike.org/user/dcastro/author/Rappaport CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/user/dcastro/article/2877929 <i>Vehicular Technology Conference, 1992, IEEE 42nd (1992), pp. 932-935 vol.2.</i><br /><br />The ability to predict path loss and delay spread is crucial for determining coverage and for planning interference reduction strategies in wireless radio system design. A promising theoretical method to accurately predict these channel characteristics in microcells is presented. The method uses modified geometrical optics to evaluate average path loss and delay spread. Quantitative building data, such as location, height, and electrical properties, are used to determine the individual multipath component amplitudes and delays. Preliminary verification of the technique against measured data has been conducted. The results illustrate that accurate path loss prediction is possible, with predicted values being within 5 dB of the measured values. As a result of this study, a computer program is being developed to automate the prediction process. The technical issues required for automated propagation prediction are presented. The ray optics model, computer ray tracing techniques, and building data requirements are also described. Comparisons between simulations and measurements are provided A ray tracing method for predicting path loss and delay spread in microcellular environments KR Schaubach NJ Davis TS Rappaport doi:10.1109/VETEC.1992.245274 Vehicular Technology Conference, 1992, IEEE 42nd (1992), pp. 932-935 vol.2. 2008-06-09T19:22:10-00:00 1992 Vehicular Technology Conference, 1992, IEEE 42nd 932 935 vol.2 channel mobile propagation http://www.citeulike.org/user/dcastro/article/2557979 <i>Communications Magazine, IEEE, Vol. 32, No. 7. (1994), pp. 42-53.</i><br /><br />Mobile communication systems present several design challenges that stem from the mobility of users throughout the system and the time-varying multipath channel and interference. To address these challenges, future wireless modems will rely on performance enhancing techniques such as adaptive antennas, DSP-based interference rejection techniques, and real-time signal processing for capacity improvement. The authors present an overview of key simulation issues for wireless communications systems. First, the burst error characteristics of the mobile channel require the selection of appropriate performance measures. Second, accurate simulations require realistic channel models that include the effects of attenuation, multipath propagation, noise, and interference. Third, link-level simulation of wireless systems requires attention to details of system implementation including the effects of nonlinearities. Finally, efficient simulation of CDMA systems may require a combination of analytic and simulation techniques Simulation issues for future wireless modems BD Woerner JH Reed TS Rappaport doi:10.1109/35.295944 Communications Magazine, IEEE, Vol. 32, No. 7. (1994), pp. 42-53. 2008-03-19T10:59:38-00:00 1994 Communications Magazine, IEEE 32 7 42 53 simulation http://www.citeulike.org/user/dcastro/article/276643 <i>Communications Magazine, IEEE, Vol. 40, No. 5. (2002), pp. 148-161.</i> Wireless communications: past events and a future perspective TS Rappaport A Annamalai RM Buehrer WH Tranter doi:10.1109/MCOM.2002.1006984 Communications Magazine, IEEE, Vol. 40, No. 5. (2002), pp. 148-161. 2005-08-07T23:27:52-00:00 2002 Communications Magazine, IEEE 40 5 148 161 communication wireless http://www.citeulike.org/user/dcastro/article/2802311 <i>Communications Magazine, IEEE, Vol. 22, No. 6. (1984), pp. 6-21.</i> Spread-spectrum signal acquisition: Methods and technology S Rappaport D Grieco Communications Magazine, IEEE, Vol. 22, No. 6. (1984), pp. 6-21. 2008-05-15T18:22:18-00:00 1984 Communications Magazine, IEEE 22 6 6 21 acquisition spread-spectrum http://www.citeulike.org/user/dcastro/article/2648094 <i>Vehicular Technology, IEEE Transactions on, Vol. 39, No. 2. (1990), pp. 132-139.</i><br /><br />The results of multipath power delay profile measurements of 900-MHz mobile radio channels in Washington, DC, Greenbelt, MD, Oakland, CA, and San Francisco, CA, are presented. The measurements have focused on acquiring worst-case profiles for typical operating locations. The data reveal that at over 98% of the measured locations, root mean square (RMS) delay spreads are less than 12 μs. Urban areas typically have RMS delay spreads on the order of 2-3 μs and continuous multipath power out to excess delays of 5 μs. In hilly residential areas and in open areas within a city, RMS delay spreads are slightly larger, typically having values of 5-7 μs. In very rare instances, reflections from city skylines and mountains can cause RMS delay spreads in excess of 20 μs. The worst-case profiles show resolvable diffuse multipath components at excess delays of 100 μs and amplitudes 18 dB below that of the first arriving signal 900-MHz multipath propagation measurements for US digital cellular radiotelephone TS Rappaport SY Seidel R Singh doi:10.1109/25.54229 Vehicular Technology, IEEE Transactions on, Vol. 39, No. 2. (1990), pp. 132-139. 2008-04-10T06:20:47-00:00 1990 Vehicular Technology, IEEE Transactions on 39 2 132 139 digital measurement mobile multipath propagation http://www.citeulike.org/user/dcastro/article/1474537 <i>Communications Magazine, IEEE, Vol. 33, No. 1. (1995), pp. 42-49.</i><br /><br />The authors describe the type of signals that occur in various environments and the modeling of the propagation parameters. Models are essentially of two classes. The first class consists of parametric statistical models that on average describe the phenomenon within a given error. They are simple to use, but relatively coarse. In the last few years a second class of environment-specific models has been introduced. These models are of a more deterministic nature, characterizing a specific street, building, etc. They are necessarily more time consuming to use, but are also more revealing concerning physical details and hopefully more accurate. Some key parameters and the measurement of them are discussed and then the different wireless environments are treated. The latter topic is divided into outdoor environments, indoor environments, and radio penetration from outdoor to indoor environments Propagation measurements and models for wireless communications channels JB Andersen TS Rappaport S Yoshida Communications Magazine, IEEE, Vol. 33, No. 1. (1995), pp. 42-49. 2007-07-23T09:55:26-00:00 1995 Communications Magazine, IEEE 33 1 42 49 channels communication measurement model propagation wireless http://www.citeulike.org/user/dcastro/article/1925344 <i>Personal Communications, IEEE [see also IEEE Wireless Communications], Vol. 5, No. 1. (1998), pp. 10-22.</i><br /><br />Spatial antenna diversity has been important in improving the radio link between wireless users. Historically, microscopic antenna diversity has been used to reduce the fading seen by a radio receiver, whereas macroscopic diversity provides multiple listening posts to ensure that mobile communication links remain intact over a wide geographic area. In later years, the concepts of spatial diversity have been expanded to build foundations for emerging technologies, such as smart (adaptive) antennas and position location systems. Smart antennas hold great promise for increasing the capacity of wireless communications because they radiate and receive energy only in the intended directions, thereby greatly reducing interference. To properly design, analyze, and implement smart antennas and to exploit spatial processing in emerging wireless systems, accurate radio channel models that incorporate spatial characteristics are necessary. In this tutorial, we review the key concepts in spatial channel modeling and present emerging approaches. We also review the research issues in developing and using spatial channel models for adaptive antennas Overview of spatial channel models for antenna array communication systems RB Ertel P Cardieri KW Sowerby TS Rappaport JH Reed Personal Communications, IEEE [see also IEEE Wireless Communications], Vol. 5, No. 1. (1998), pp. 10-22. 2007-11-16T08:08:35-00:00 1998 Personal Communications, IEEE [see also IEEE Wireless Communications] 5 1 10 22 antenna array channel communication models space system http://www.citeulike.org/user/dcastro/article/1915462 <i>Communications Magazine, IEEE, Vol. 34, No. 10. (1996), pp. 33-41.</i><br /><br />With the advances in wireless communications and low-power electronics, accurate position location may now be accomplished by a number of techniques which involve commercial wireless services. Emerging position location systems, when used in conjunction with mobile communications services, will lead to enhanced public safety and revolutionary products and services. The fundamental technical challenges and business motivations behind wireless position location systems are described, and promising techniques for solving the practical position location problem are treated Position location using wireless communications on highways of the future TS Rappaport JH Reed BD Woerner Communications Magazine, IEEE, Vol. 34, No. 10. (1996), pp. 33-41. 2007-11-14T19:19:07-00:00 1996 Communications Magazine, IEEE 34 10 33 41 communications location wireless http://www.citeulike.org/user/dcastro/article/1915349 <i>(2001)</i> Wireless Communications: Principles and Practice Theodore Rappaport (2001) 2007-11-14T18:57:05-00:00 2001 Prentice Hall PTR communication wireless http://www.citeulike.org/user/dcastro/article/1841100 <i>Vehicular Technology, IEEE Transactions on, Vol. 40, No. 4. (1991), pp. 721-730.</i><br /><br />The authors present typical and worst-case root mean square (RMS) delay spreads and excess delay spreads (10 dB) and mean channel path loss at 900 MHz in four European cities using typical cellular and microcellular antenna locations. Several thousand power delay profile measurements were made at six typical cellular and microcellular base station locations in the four cities. The data were obtained at local worst-case time-dispersion locations over hundreds of kilometers of typical operating routes, such as highways, bridges, and city streets, and form the basis for statistical models which can be used to predict the percentage of locations or the percentage of time in which channels will possess particular values of RMS delay spread and excess delay spread. The effect of reference distance on wideband path loss and the propagation path loss laws for cellular and microcellular radio channels are given. Radar cross sections computed from the data for typical scatterers in cellular and microcellular radio channels are given Path loss, scattering and multipath delay statistics in four European cities for digital cellular and microcellular radiotelephone SY Seidel TS Rappaport S Jain ML Lord R Singh Vehicular Technology, IEEE Transactions on, Vol. 40, No. 4. (1991), pp. 721-730. 2007-10-30T14:59:22-00:00 1991 Vehicular Technology, IEEE Transactions on 40 4 721 730 delay inserted-bib mobile multipath statistical urban