Comparison of reflection mechanisms from smooth and rough surfaces at 62 GHz

Hammoudeh, Akram; Pugliese, Jean‐Pierre; Sanchez, M.G.; Grindrod, E.

doi:10.1049/cp:19990037

Cited by 6 publications

(3 citation statements)

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“…For very rough surfaces (σ ~ λ, l c < λ), however, it has been shown in [7] that no specular component is emitted from the surface, and the incoming power is scattered in all directions.…”

Section: A Reflection and Transmissionmentioning

confidence: 99%

A study of the effect of diffraction and rough surface scatter modeling on ray tracing results in an urban environment at 60 GHz

Rasekh

Shishegar

Farzaneh

2009

2009 First Conference on Millimeter-Wave and Terahertz Technologies (MMWaTT)

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Channel characterization is an important step in the design of wireless communication systems. While channel sounding procedures are a useful method in determining channel behavior, they also require expensive and time consuming procedures and equipment. Ray tracing has been an important substitute for measurement in deterministic channel modeling and characterization of the wireless channel. Much has been done to improve the precision and efficiency of this method for lower frequency bands (generally below 5 GHz) over the years. Recently, with the worldwide announcement of a broad unlicensed band in the millimeter wave spectrum around 60 GHz, a great amount of attention has been paid to this frequency band, previously considered un-utilizable ([1, 2]). However some basic dissimilarity between the 60 GHz and UHF bands has brought about the need for modification of the methods previously used. In this paper the focus has been placed on two propagation mechanisms: diffraction and rough surface scattering, and the impact of each on over-all channel response predictions have been investigated.

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Section: A Reflection and Transmissionmentioning

confidence: 99%

A study of the effect of diffraction and rough surface scatter modeling on ray tracing results in an urban environment at 60 GHz

Rasekh

Shishegar

Farzaneh

2009

2009 First Conference on Millimeter-Wave and Terahertz Technologies (MMWaTT)

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“…However, this approach does not easily allow the determination of the permittivity of built-in composite materials for varying environments. To cope with this issue, in-situ measurements within the environment are conducted for specific building structures to evaluate the reflection loss, as presented in [16], [18], [19], [29]- [31]. This reflection loss is then used to determine the permittivity of the reflecting surface by regression analysis, as reported in [15], [17], [20], [32]- [35].…”

Section: Introductionmentioning

confidence: 99%

On-Site Permittivity Estimation at 60 GHz Through Reflecting Surface Identification in the Point Cloud

Virk

Nguyen

Haneda

et al. 2018

IEEE Trans. Antennas Propagat.

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Accurate site-specific radio propagation simulations provide an important basis for cellular coverage analysis. The quality of these simulations relies on the accuracy of environmental description and electrical properties of constituent materials. This paper presents a novel method of on-site permittivity estimation. The method utilizes an accurate geometrical database of the environment for identifying flat and smooth surfaces producing reflections. The method exploits a limited number of on-site channel sounding to extract reflected multipaths, and compare them with ray-tracing based on the environmental database. The permittivity of the identified reflecting surfaces is estimated by solving an inverse reflection problem. The method was experimentally tested with a limited radio channel measurements at 60 GHz in a large empty office room. The identified reflecting surfaces are classified according to their mean permittivity estimates, showing their consistency with physical material evidence and the permittivity database in the ITU recommendation. The estimated permittivity values are visualized as a three-dimensional map, giving an intuitive understanding of materials constituting the environment. Our work demonstrates on-site permittivity estimation and material classification without the need for isolated measurements of composite materials in an anechoic chamber or in-situ measurements of built environments.

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“…All this necessitates a thorough study on the interaction of 70 GHz radio signals with link-obstructing objects. In mm-wave frequency spectrum and especially the V-band (40 − 75 GHz), most of the available research studies in the literature focused at evaluating reflection and transmission characteristics of common building materials at 60 GHz [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24]. For the same purpose, only a small number of research investigations tapped 70 GHz frequency band [9,[26][27][28][29][30][31]33].…”

Section: Introductionmentioning

confidence: 99%

Estimating reflection and transmission losses for link-obstructing objects at 70 GHz for 5G wireless backhauling

Virk¹,

Haneda²,

Putkonen³

2018

Loughborough Antennas &Amp; Propagation Conference 2018 (LAPC 2018)

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Wireless backhauling at 70 GHz maybe a viable option for 5G small cells densification. Whether indoors or outdoors, the millimeter-wave (mm-wave) backhaul links in an obstructedline-of-sight (OLOS) or a non-LOS (NLOS) condition require a thorough investigation on reflection and transmission losses caused by various objects in the environment. In this paper, we evaluate the reflection and transmission loss due to linkobstructing objects at 70 GHz frequency band, ranging from human body to various building materials and vegetation. For this purpose, we employed a free-space wideband mm-wave channel sounding setup in the anechoic chamber and outdoors.The results indicate that building materials, human beings and trees cause significant attenuation of the 70 GHz radio signals, which is on average 45 − 50 dB. On the other hand, building materials such as, windows, and laminated or painted plywood, medium-density fiberboard and plasterboard are good reflectors. This extends an opportunity of establishing stable communication links through reflections from the materials in NLOS conditions using beamforming.

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Comparison of reflection mechanisms from smooth and rough surfaces at 62 GHz

Cited by 6 publications

References 0 publications

A study of the effect of diffraction and rough surface scatter modeling on ray tracing results in an urban environment at 60 GHz

A study of the effect of diffraction and rough surface scatter modeling on ray tracing results in an urban environment at 60 GHz

On-Site Permittivity Estimation at 60 GHz Through Reflecting Surface Identification in the Point Cloud

Estimating reflection and transmission losses for link-obstructing objects at 70 GHz for 5G wireless backhauling

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