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

Abstract

Abstract-A simple approach of path-loss and root mean square 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. Simplicity, 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 powerdelay-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 root mean square delay spread prediction algorithm show good match with the measurement results.

Indoor Channel Estimation Using Single-Snapshot Wideband Measurement

“…By interpreting the indoor room as a lossy cavity, the room electromagnetics based prediction method assumes uniform angular distribution and that the line-of-sight (LOS) component exists with the followed diffuse components. These assumptions were extensively verified by various field measurements [1], [13] as well as the numerical model [16]- [18]. This paper demonstrates the use of only one wideband measurement for the extraction of reverberation time in addition to some knowledge on the propagation environment to provide accurate predictions of various channel characteristics parameters, which is the main contribution of the paper.…”

“…Referring to the well-established acoustical equation for the room acoustic, the input power P equals the increased power P inc over the volume V plus the absorbed power P abs by walls or other objects of the indoor environment, namely [1] P (t) = P inc + P abs = dW dt…”

“…In (1), W is the density for one incident path. In typical indoor environments, the roughness (or randomness) of the wall is so large that the diffuse component dominates and the mean values of electric and magnetic energies are equal in far field.…”

“…The channel models describe the interaction between the electromagnetic wave and the surrounding environment. In order to design and deploy wireless communication systems for a specific environment, we generally need to have a good knowledge of the propagation characteristics of the wireless channel [1]- [5]. To this end, accurate modeling and efficient prediction of channel characteristic parameters under various propagation scenarios have always been the topic of a number of research [6]- [9].…”

“…The geometry-based approach has reasonable com-putational load but at the cost of only being able to provide channel characterization of a wide range of propagation scenarios [15]. This paper aims to apply the method of using single-snapshot measurement and the room electromagnetic theory for the estimation of various radio wave propagation parameters in indoor environments [1]. By interpreting the indoor room as a lossy cavity, the room electromagnetics based prediction method assumes uniform angular distribution and that the line-of-sight (LOS) component exists with the followed diffuse components.…”