Angular characteristics of multipath propagation in an indoor industrial environment

Aliou Bamba,Frédéric Challita,Davy P Gaillot,Emmeric Tanghe,Aladji Kamagaté,Adama Konaté,Martine Liénard,Pierre Laly,Wout Joseph

doi:10.1049/mia2.12082

Abstract

The characteristics of multipath components (MPCs) are addressed in an industrial environment at 1.3 GHz by means of measurements with a multidimensional channel sounder. The maximum likelihood estimator, RiMAX, is used to determine the MPCs parameters and takes into account the diffuse scattering. Both line-of-sight (LOS) and obstructed LOS (OLOS) scenarios have been considered, along with the four polarization states. We found that the environment is very rich in multipath, that is on average, about 120 (resp. 70) MPCs in LOS (resp. OLOS) scenario due to the presence of several metallic reflectors. The azimuthal angle implies clustering of the MPCs, and therefore, the estimated MPCs are grouped in clusters using the K-powers-means algorithm based on the multipath component distance. In general, one to four clusters are determined with three clusters occurring with the highest probability, regardless of the scenario. Next, the intra-cluster parameters have been determined, and we show that the root-mean-square (rms) delay spread and rms angular spread follow a gamma distribution, regardless of the polarization. The MPC characteristics agree with the results in the literature and can be valuable when deploying a wireless sensor network in industrial environments.

Highlights

Potential benefits of the wireless sensors networks (WSNs) for the industrial companies have been evidenced for decades [1,2,3,4]
The azimuthal angle implies clustering of the multipath components (MPCs), and the estimated MPCs are grouped in clusters using the K‐powers‐means algorithm based on the multipath component distance
It is expected that the 5th generation (5G) of mobile communications systems will allow an infinite number of applications, as all of its capabilities and potentials are not yet identified until now

Summary

| INTRODUCTION

Potential benefits of the wireless sensors networks (WSNs) for the industrial companies have been evidenced for decades [1,2,3,4]. [26] has shown that the measured channel power distributions over direction and delay are similar over the full frequency range in both LOS and NLOS scenarios. At these locations, a maximum of three clusters is observed, regardless of the polarization. The multipath clustering and associated properties such as the intra‐cluster delay and angular dispersion are important features [34], especially for an efficient design of WSN in industrial environments. ∑Mm1⁄4l 1αXmY ð10Þ where τl is the mean arrival delay of the paths within the cluster l and is defined as follows: FIGURE 5 Probability density function of the azimuth AoA: (a) LOS scenario and (b) OLOS scenario.

| CONCLUSION

Findings

US Department of Energy