A review on the electromagnetic characterisation of building materials at micro- and millimetre wave frequencies

Ferreira, David; Cuiñas, Íñigo; Caldeirinha, Rafael F. S.; Fernandes, Telmo R.

doi:10.1109/eucap.2014.6901713

Cited by 39 publications

(25 citation statements)

References 16 publications

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“…Such approach has been also extended to the electromagnetic parameters of the OUT (relative permittivity-ε R -and electrical conductivity-σ), in order to estimate their values for the OUT never addressed so far (e.g., the monitor or the bookshelf ) or to consolidate their evaluation for the most common objects (like the wall sample and the wooden panel), still not reliably and extensively investigated at mm-waves in the few studies available in the literature ( [25][26][27] for a brick wall).…”

Section: Rt Parameters Tuningmentioning

confidence: 99%

Item level characterization of mm-wave indoor propagation

Fuschini

Häfner

Zoli

et al. 2016

J Wireless Com Network

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According to the current prospect of allocating next generation wireless systems in the underutilized millimeter frequency bands, a thorough characterization of mm-wave propagation represents a pressing necessity. In this work, an "item level" characterization of radiowave propagation at 70 GHz is carried out. The scattering properties of several, different objects commonly present in indoor environment are investigated by means of measurements carried out in an anechoic chamber. The measured data have been also exploited to tune some parameters of a 3D ray tracing model.

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Section: Rt Parameters Tuningmentioning

confidence: 99%

Item level characterization of mm-wave indoor propagation

Fuschini

Häfner

Zoli

et al. 2016

J Wireless Com Network

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“…Although we did not carry out a thorough investigation on this point, there seems to be a fixed ratio of about 0.3 between the size of grains and the wavelength at the cutoff frequency. (Abel & Wallace, 2019) 4.11 (18 GHz) (Stavrou & Saunders, 2003) 3.7-4 (9-24 GHz) (Stavrou & Saunders, 2003) 4.11-4.46 (2-40 GHz) (Ferreira et al, 2014) 3.95-4.41 (60 GHz) (Ferreira et al, (Alawneh et al, 2019) 2.05 (100 GHz) (Hirvonen et al, 1996) 2.25 (300 GHz) 2. (Alawneh et al, 2019) 2.061-2.069 (100-300 GHz) (Afsar, 1987) 2.107 (300 GHz) (Kazemipour et al, 2015) 2.06 (300 GHz) (Chang et al, 2017) 2 (50-500 GHz) (Kazemipour et al, 2015) Paraffin 2.03 (10 GHz) 2.2-2.4 (10 GHz) (Von Hippel, 1966) 2.19 (300 GHz) 2.248-2.283 (300GHz-1THz) (Ghassemiparvin & Ghalichechian, 2016) Sandstone 7.7 (10 GHz) 6.53 (30 GHz) 5.37-5.64 (1.1-1.7 GHz) (Vaccaneo et al, 2004) Pine wood 2.10 (10 GHz) 2 (10 GHz) (Zhekov et al, 2020) 10.1029/2020RS007164…”

Section: Applicabilitymentioning

confidence: 99%

Improved Fabry‐Pérot Electromagnetic Material Characterization: Application and Results

et al. 2020

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While several mm-wave and sub-THz frequency bands are being proposed for next generation wireless systems to meet the increasing traffic demand, the electromagnetic properties of many common use materials at those frequencies still need to be determined. The evaluation of such properties is important for the design and deployment of future wireless networks. Recently, a simple method based on Fabry-Pérot resonance has been proposed to address the need of easy material characterization at mm-wave frequencies. In this study, the method has been improved and applied to the characterization of several materials at mm-wave and sub-THz frequencies, in order to assess its reliability, usability, and accuracy in practical cases. The method is shown to achieve a good accuracy level despite the very simple measurement setup and the great flexibility. However, some application limitations are highlighted and discussed in the paper. A method for electromagnetic material characterization based on an improved Fabry-Pérot technique is presented. Recently, a simple and fast method for the characterization of low-loss materials based on the Fabry-Pérot (FP) resonance that takes place inside a material slab has been proposed (Degli-Esposti et al., 2017).

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“…The electromagnetic characteristics of some common indoor office materials were determined as a result of material measurements in high frequencies. [32][33][34][35][36] Moreover, even humidity and temperature of the environment are able to influence the propagation paths and received power. Therefore, in the simulation, the permittivity of the materials was chosen…”

Section: Dielectric Properties Of Indoor Environmentmentioning

confidence: 99%

Millimeter‐wave propagation modeling and characterization at 32 GHz in indoor office for 5G networks

Şeker

Guneser

Arslan

2020

Int J RF Microw Comput Aided Eng

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Since it has a great bandwidth that supports gigabit communication, it is considered to use the millimeter-wave (mmWave) band in the fifth generation (5G) wireless communication. Therefore, an efficient, reliable, and accurate channel model is of vital importance in mmWave bands for indoor environments, especially in the 31.8 to 33.4 GHz band allocated by ITU for 5G communications. In this article, we performed modeling and characterization campaign at the 32 GHz in a typical indoor office environment on fourth floor of the Engineering Faculty in University of Karabuk, Turkey. The obtained results provide large-scale fadings such as path loss, shadowing, root mean square (RMS) delay spread, RMS angular spread, power angular spectrum, number of clusters, and Ricean K-factor in an open-plan indoor environment. Power angular spectrum is used to comprehend the propagation structure. We propose that the results obtained in this study will play a key role in simulating and planning systems at 32 GHz for 5G wireless communication.

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A review on the electromagnetic characterisation of building materials at micro- and millimetre wave frequencies

Cited by 39 publications

References 16 publications

Item level characterization of mm-wave indoor propagation

Item level characterization of mm-wave indoor propagation

Improved Fabry‐Pérot Electromagnetic Material Characterization: Application and Results

Millimeter‐wave propagation modeling and characterization at 32 GHz in indoor office for 5G networks

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