wave propagation model
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2021 ◽  
Vol 25 (Special) ◽  
pp. 1-7-1-12
Author(s):  
Baseem G. Nsaif ◽  
◽  
Adheed H. Sallomi ◽  

An accurate propagation modeling of radio waves propagation is very important task in cellular network design as it provides the detailed useful knowledge about the wireless channel environment characteristics. Theoretical or empirical RF propagation models provide the required useful information about the signal path loss and fading to evaluate the received signal level, the coverage area, and the outage probability in specific regions. This paper aimed to develop an empirical radio wave propagation model based on observations and sets of measurement data collected from different sites through drive test. These measurements are used to determine the received signal power at some locations to create an empirical radio wave propagation model that is suitable to be appropriate in cellular network accurate design and link budget prediction at the city of Baghdad.


2021 ◽  
Vol 9 (9) ◽  
pp. 1008 ◽  
Author(s):  
Achilleas Samaras ◽  
Theophanis Karambas

In the present work, the impact of climate change on coastal flooding is investigated through a set of interoperable models developed by the authors, following a modular modelling approach and adapting the modelling sequence to two separate objectives with respect to inundation over large-scale areas and coastal protection structures’ design. The modelling toolbox used includes a large-scale wave propagation model, a storm-induced circulation model, and an advanced nearshore wave propagation model based on the higher order Boussinesq-type equations, all of which are presented in detail. Model capabilities are validated and applications are made for projected scenarios of climate change-induced wave and storm surge events, simulating coastal flooding over the low-lying areas of a semi-enclosed bay and testing the effects of different structures on a typical sandy beach (both in northern Greece). This work is among the few in relevant literature that incorporate a fully non-linear wave model to a modelling system aimed at representing coastal flooding. Results highlight the capabilities of the presented modelling approach and set the basis for a comprehensive evaluation of the use of advanced modelling tools for the design of coastal protection and adaptation measures against future climatic pressures.


Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2778
Author(s):  
Antonio Gomez ◽  
Guillermo Rus ◽  
Nader Saffari

In this article, a wave propagation model is presented as the first step in the development of a new type of transluminal procedure for performing elastography. Elastography is a medical imaging modality for mapping the elastic properties of soft tissue. The wave propagation model is based on a Kelvin Voigt Fractional Derivative (KVFD) viscoelastic wave equation, and is numerically solved using a Finite Difference Time Domain (FDTD) method. Fractional rheological models, such as the KVFD, are particularly well suited to model the viscoelastic response of soft tissue in elastography. The transluminal procedure is based on the transmission and detection of shear waves through the luminal wall. Shear waves travelling through the tissue are perturbed after encountering areas of altered elasticity. These perturbations carry information of medical interest that can be extracted by solving the inverse problem. Scattering from prostate tumours is used as an example application to test the model. In silico results demonstrate that shear waves are satisfactorily transmitted through the luminal wall and that echoes, coming from reflected energy at the edges of an area of altered elasticity, which are feasibly detectable by using the transluminal approach. The model here presented provides a useful tool to establish the feasibility of transluminal procedures based on wave propagation and its interaction with the mechanical properties of the tissue outside the lumen.


Author(s):  
Guo-Sheng Qin ◽  
Rong-Ming Liu ◽  
Jia Wang ◽  
Jia-Chao Wang ◽  
Yan Cao ◽  
...  

2021 ◽  
Vol 68 (2) ◽  
pp. 1485-1504
Author(s):  
A. M. Abd-Alla ◽  
Hanaa Abu-Zinadah ◽  
S. M. Abo-Dahab ◽  
J. Bouslimi ◽  
M. Omri

Author(s):  
Jiaming Yang ◽  
Dinghui Yang ◽  
Hongwei Han ◽  
Lingyun Qiu ◽  
Yuanfeng Cheng

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