70 GHz radio wave propagation prediction in a large office

Site-specific millimeter-wave propagation prediction requires data of the environment under study, which is usually not available for indoor scenarios. With means of laser scanning the details of the indoor environment can be captured accurately in the form of a point cloud. The total field is estimated as a sum of paths backscattering from the point cloud, where the electromagnetic scattering for each path is calculated with a single-lobe directive model. In this paper we focus on predicting the radio wave propagation in a large office environment at 70 GHz, where the accuracy is evaluated by comparing measured and predicted mean delays and delay and azimuth spreads. We also present a method for dealing with shadowing in the indoor environment. The results show good agreement between measured and predicted delay and azimuth spreads for line-of-sight links, and also non-line-of-sight links can be predicted with reasonable accuracy.

[1]  John A. Silvester,et al.  The impact of application signaling traffic on public land mobile networks , 2014, IEEE Communications Magazine.

[2]  Chia-Chin Chong,et al.  An Overview of Multigigabit Wireless through Millimeter Wave Technology: Potentials and Technical Challenges , 2007, EURASIP J. Wirel. Commun. Netw..

[3]  E. Vitucci,et al.  Measurement and Modelling of Scattering From Buildings , 2007, IEEE Transactions on Antennas and Propagation.

[4]  M. Kyro,et al.  60 GHz radio wave propagation prediction in a hospital environment using an accurate room structural model , 2012, 2012 Loughborough Antennas & Propagation Conference (LAPC).

[5]  Maria Pateraki,et al.  From point samples to surfaces - on meshing and alternatives , 2005 .

[6]  Mark A Beach,et al.  Wireless propagation measurements in indoor multipath environments at 1.7 GHz and 60 GHz for small cell systems , 1991, [1991 Proceedings] 41st IEEE Vehicular Technology Conference.

[7]  Derek D. Lichti,et al.  Accuracy assessment of the FARO Focus 3D and Leica HDS6100 panoramic- type terrestrial laser scanners through point-based and plane-based user self-calibration , 2012 .

[8]  P. O. Frances,et al.  Transmission and isolation of signals in buildings at 60 GHz , 1995, Proceedings of 6th International Symposium on Personal, Indoor and Mobile Radio Communications.

[9]  P.F.M. Smulders,et al.  Biconical horn antennas for near uniform coverage in indoor areas at mm-wave frequencies , 1994 .

[10]  Katsuyuki Haneda,et al.  Sixty gigahertz indoor radio wave propagation prediction method based on full scattering model , 2014 .

[11]  Katsuyuki Haneda,et al.  Indoor short-range radio propagation measurements at 60 and 70 GHz , 2014, The 8th European Conference on Antennas and Propagation (EuCAP 2014).

[12]  Theodore S. Rappaport,et al.  Millimeter Wave Mobile Communications for 5G Cellular: It Will Work! , 2013, IEEE Access.

[13]  Andreas F. Molisch,et al.  Wireless Communications , 2005 .

[14]  A. Kajiwara Effects of polarization, antenna directivity, and room size on delay spread in LOS indoor radio channel , 1997 .

[15]  Noah Snavely,et al.  Accurate Georegistration of Point Clouds Using Geographic Data , 2013, 2013 International Conference on 3D Vision.

[16]  T. Kurner,et al.  Diffraction in mm and Sub-mm Wave Indoor Propagation Channels , 2012, IEEE Transactions on Microwave Theory and Techniques.

[17]  H. Tullberg,et al.  The Foundation of the Mobile and Wireless Communications System for 2020 and Beyond: Challenges, Enablers and Technology Solutions , 2013, 2013 IEEE 77th Vehicular Technology Conference (VTC Spring).

[18]  Le Yu,et al.  Google Earth as a virtual globe tool for Earth science applications at the global scale: progress and perspectives , 2012 .

[19]  Susana Loredo,et al.  Indoor MIMO Channel Modeling by Rigorous GO/UTD-Based Ray Tracing , 2008, IEEE Transactions on Vehicular Technology.

[20]  Henry L. Bertoni,et al.  Radio Propagation for Modern Wireless Systems , 1999 .

[21]  More than 50 billion connected devices , 2011 .