3-Dimensional Large-Scale Channel Model for Urban Environments in mmWave Frequency

Baek, Seungjae; Chang, Y.B.; Hur, Sooyoung; Hwang, June; Kim, Byungchuhl

doi:10.1109/iccw.2015.7247344

Cited by 14 publications

(8 citation statements)

References 9 publications

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“…The transmitter (TX) is placed 5 m above the closest rooftop, as is typical for an urban macrocellular scenario (UMa). The parameters for ray-tracing simulations are same as in [18][19][20]. All paths are modelled by reflection, diffraction, and penetration based on geometrical optics and uniform theory of diffraction using the ray-tracing software Wireless In-site designed by REMCOM [21].…”

Section: Pl Datamentioning

confidence: 99%

Path loss models with distance‐dependent weighted fitting and estimation of censored path loss data

Karttunen¹,

Gustafson²,

Molisch³

et al. 2016

IET microw. antennas propagation

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Path loss models are the most fundamental part of wireless propagation channel models. Path loss is typically modelled as a (single‐slope or multi‐slope) power‐law dependency on distance plus a log‐normally distributed shadowing attenuation. Determination of the parameters of this model is usually done by fitting the model to results from measurements or ray tracing. The authors show that the typical least‐square fitting to those data points is inherently biased to give the best fitting to the link distances that happen to have more evaluation points. A weighted fitting method is developed that emphasises the accuracy at the distance range that is consciously chosen by the user as most important for a system simulation. As a further important point that is typically not taken into account for path loss parameter extraction, the authors show that typically measurement data (but also ray tracing) is censored, i.e. path loss values above a certain threshold cannot be measured. The authors present examples of weighted fitting models, and models with and without the censored data, for 28 GHz channels in urban macrocells, and show that these effects have a significant impact on the extracted parameters and that the fitting accuracy can be improved with the presented methods.

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Section: Pl Datamentioning

confidence: 99%

Path loss models with distance‐dependent weighted fitting and estimation of censored path loss data

Karttunen¹,

Gustafson²,

Molisch³

et al. 2016

IET microw. antennas propagation

Self Cite

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show abstract

“…For the first scenario, we consider a propagation distance at the FoV centre of 200 m, with a spherical radius of 1620 m, thus defining all possible orientations. A channel exponent of 3.53 and a Ricean K ‐factor of K =10, typical of an urban mmWave channel are employed. The results are shown in Figures (a–c).…”

Section: Resultsmentioning

confidence: 99%

Tri‐orthogonal polarization diversity for 5G networks

Lawrence

Hansen

Abbott

2016

Trans. Emerging Tel. Tech.

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Millimetre-waves offer the possibility of wide bandwidth and consequently high-data rate for wireless communications. For both uni-polarised and dual-polarised systems, signals sent over a link may suffer severe degradation because of antenna misalignment. Orientation robustness may be enhanced by the use of mutual orthogonality in three dimensions. Multiple-input multiple-output polarisation diversity offers a way of improving signal reception without the limitations associated with spatial diversity. Scattering effects often assist propagation through multipath. However, high-path loss is often considered to limit millimetre-wave propagation, thereby reducing any reception enhancement through scattering. We show that the inclusion of a third orthogonal dipole at a frequency of commercial interest provides antenna orientation robustness in this setting, as well as improved performance in a rich scattering environment, by means of a Ricean fading channel model.

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“…The Wireless Insite (WI) software is used to model AA channel in a city like Ottawa [6], to study the height effect on the LOS probability and the life distance of LOS/NLOS state. There are more than 100 tall buildings in an area of 600 m ×1000 m. Most of the building heights are between…”

Section: Simulation and Analysismentioning

confidence: 99%

“…There are some existing related works for blockage study. International Telecommunication Union (ITU) model [6] expresses the LOS probability as a function of propagation distance, without considering the impact of terminal height. [3], [7], [8] propose the models associated with the elevation angle and Base Station (BS) height.…”

Section: Introductionmentioning

confidence: 99%

Blockage Modeling for Inter-layer UAVs Communications in Urban Environments

Yang

Zhou

Zhao

et al. 2018

2018 25th International Conference on Telecommunications (ICT)

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The impact of buildings blockage on the UAVs communications in different UAVs heights is studied, when UAVs fly in a given rectangular urban area. This paper analyzes the properties of blockage behavior of communication links between UAVs from layers of different heights, including two main stochastic properties, namely the blockage (or LOS) probabilities, and the state transition models (birth-death process of LOS propagation). Based on stochastic geometry methods, the relation between LOS probability and the parameters of the region and the buildings is derived and verified with simulations. Furthermore, based on the simulations of the channel state transition process, we also find the birth-death process can be modeled as a distance continuous Markov process, and the transition rates are also extracted with their relation with the height of layers.

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3-Dimensional Large-Scale Channel Model for Urban Environments in mmWave Frequency

Cited by 14 publications

References 9 publications

Path loss models with distance‐dependent weighted fitting and estimation of censored path loss data

Path loss models with distance‐dependent weighted fitting and estimation of censored path loss data

Tri‐orthogonal polarization diversity for 5G networks

Blockage Modeling for Inter-layer UAVs Communications in Urban Environments

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