Path-Loss Prediction for an Industrial Indoor Environment Based on Room Electromagnetics

A simple approach of path-loss and root-mean-square (rms) delay spread prediction for indoor propagation environment is developed based on the room electromagnetics theory. The indoor room environment is interpreted as a lossy cavity, which is characterized by the diffuse scattering components caused by the walls and surrounding obstacles, and a possible line-of-sight component. Simply, speed of the algorithm and good accuracy are among the advantages of this approach. To apply the method, it only requires the knowledge of the dimensions of the room and the reverberation time, which can be easily obtained from one measurement of the power-delay-profile in the investigated environment. For experimental validation, path-loss measurements at two different transmission frequencies, and wideband measurements from 0.8 to 2.7 GHz were conducted in two rooms of an industrial environment. The theoretical results from the path-loss and rms delay spread prediction algorithm show good match with the measurement results.

[1]  Luc Martens,et al.  Assessment of reverberation time by two measurement systems for room electromagnetics analysis , 2011, 2011 IEEE International Symposium on Antennas and Propagation (APSURSI).

[2]  Jørgen Bach Andersen,et al.  Diffuse Scattering Model of Indoor Wideband Propagation , 2011, IEEE Transactions on Antennas and Propagation.

[3]  Takehiko Kobayashi,et al.  Microwave path-loss modeling in urban line-of-sight environments , 2002, IEEE J. Sel. Areas Commun..

[4]  B. Clerckx,et al.  Channel Characterization of Indoor Wireless Personal Area Networks , 2006, IEEE Transactions on Antennas and Propagation.

[5]  T. Zemen,et al.  Hybrid Model for Reverberant Indoor Radio Channels Using Rays and Graphs , 2016, IEEE Transactions on Antennas and Propagation.

[6]  Rodney G. Vaughan,et al.  Channels, Propagation and Antennas for Mobile Communications , 2003 .

[7]  D. Gaillot,et al.  Experimental Analysis of Dense Multipath Components in an Industrial Environment , 2014, IEEE Transactions on Antennas and Propagation.

[8]  Ronald Raulefs,et al.  Distance Dependent Model for the Delay Power Spectrum of In-room Radio Channels , 2013, IEEE Transactions on Antennas and Propagation.

[9]  A. Ishimaru Electromagnetic Wave Propagation, Radiation, and Scattering , 1990 .

[10]  Gerhard Bauch,et al.  The Large Office Environment - Measurement and Modeling of the Wideband Radio Channel , 2006, 2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications.

[11]  Andreas F. Molisch,et al.  On the Physical Interpretation of the Saleh–Valenzuela Model and the Definition of Its Power Delay Profiles , 2014, IEEE Transactions on Antennas and Propagation.

[12]  G. Bauch,et al.  Room electromagnetics , 2007, IEEE Antennas and Propagation Magazine.

[13]  Jørgen Bach Andersen,et al.  Path Loss Predictions in Urban Areas with Irregular Terrain Topography , 2000, Wirel. Pers. Commun..

[14]  Theodore S. Rappaport,et al.  Propagation measurements and models for wireless communications channels , 1995, IEEE Commun. Mag..

[15]  Jørgen Bach Andersen,et al.  On Polarization and Frequency Dependence of Diffuse Indoor Propagation , 2011, 2011 IEEE Vehicular Technology Conference (VTC Fall).

[16]  Bo Ai,et al.  An Empirical Path Loss Model and Fading Analysis for High-Speed Railway Viaduct Scenarios , 2011, IEEE Antennas and Wireless Propagation Letters.

[17]  Michael Cheffena,et al.  Power delay profile analysis and modeling of industrial indoor channels , 2015, 2015 9th European Conference on Antennas and Propagation (EuCAP).

[18]  Theodore S. Rappaport,et al.  Millimeter Wave Channel Modeling and Cellular Capacity Evaluation , 2013, IEEE Journal on Selected Areas in Communications.

[19]  Ivica Kostanic,et al.  Empirical Path Loss Models for Wireless Sensor Network Deployments in Short and Tall Natural Grass Environments , 2016, IEEE Transactions on Antennas and Propagation.

[20]  Thomas Kürner,et al.  Investigation of MPC Correlation and Angular Characteristics in the Vehicular Urban Intersection Channel Using Channel Sounding and Ray Tracing , 2016, IEEE Transactions on Vehicular Technology.

[21]  Luc Martens,et al.  Polarimetric Distance-Dependent Models For Large Hall Scenarios , 2016, IEEE Transactions on Antennas and Propagation.

[22]  Luc Martens,et al.  Experimental Investigation of Electromagnetic Reverberation Characteristics as a Function of UWB Frequencies , 2015, IEEE Antennas and Wireless Propagation Letters.

[23]  Ronald Raulefs,et al.  Experimental Validation of the Reverberation Effect in Room Electromagnetics , 2015, IEEE Transactions on Antennas and Propagation.

[24]  Luc Martens,et al.  The industrial indoor channel: large-scale and temporal fading at 900, 2400, and 5200 MHz , 2008, IEEE Transactions on Wireless Communications.

[25]  C. Oestges,et al.  Polarimetric Properties of Diffuse Scattering From Building Walls: Experimental Parameterization of a Ray-Tracing Model , 2012, IEEE Transactions on Antennas and Propagation.

[26]  Fredrik Tufvesson,et al.  Simulation and Measurement-Based Vehicle-to-Vehicle Channel Characterization: Accuracy and Constraint Analysis , 2014, IEEE Transactions on Antennas and Propagation.

[27]  George L. Carlo,et al.  Evaluation of Specific Absorption Rate as a Dosimetric Quantity for Electromagnetic Fields Bioeffects , 2013, PloS one.

[28]  Stavros Stavrou,et al.  Review of constitutive parameters of building materials , 2003 .

[29]  R. Sullivan Radar Foundations for Imaging and Advanced Concepts , 2004 .

[30]  Fredrik Tufvesson,et al.  A Measurement-Based Statistical Model for Industrial Ultra-Wideband Channels , 2007, IEEE Transactions on Wireless Communications.

[31]  Kin Lien Chee,et al.  Reverberation and Absorption in an Aircraft Cabin With the Impact of Passengers , 2012, IEEE Transactions on Antennas and Propagation.