Impact of clustering in statistical indoor propagation models on link capacity

2002 ◽  
Vol 50 (4) ◽  
pp. 521-523 ◽  
Author(s):  
Kuo-Hui Li ◽  
M.A. Ingram ◽  
A. Van Nguyen
Author(s):  
M. N. JAYARAM ◽  
C.R. VENUGOPAL

Wireless communication inside mines and tunnels is very different from that in terrestrial environment because of the strong attenuation of signals. Here, we are developing an empirical model for the underground wireless communication channel based on experimental data which help in predicting the average received signal strength at a given distance from transmitter. The model aims at adding correction factors to the available outdoor and indoor propagation models such as Okumara-hata model, cost231 model, ITU indoor propagation models etc. Modeling is done by choosing the most appropriate model among the available ones and performing regression methods to the model based on experimental data. Correction factors are then added based on two parameters which we are considering namely- Penetration and Scattering loss for 0.3GMSK.


2021 ◽  
Vol 13 (1) ◽  
pp. 2-10
Author(s):  
Árpád László Makara ◽  
László Csurgai-Horváth

One of the latest developments today is the 5G, or 5th generation mobile network. In addition to a number of innovations, the new system also includes millimeter-wavelength frequency ranges denoted with FR2, that formerly not applied for these specific purposes. Proper management of the transmitter and receiver antenna beams is required for efficient communication in this frequency range. For future use, the simplest implementation way is electronically shaping the antenna beams by an algorithm to orient the antennas in the best possible direction. The prerequisites for these algorithms are appropriate propagation models, which are currently lacking, and those that publicly available are not accurate enough for practical use.


2020 ◽  
Vol 14 (3) ◽  
pp. 480-488
Author(s):  
Hector Fabio Bermudez ◽  
Ramón Sanchez-Iborra ◽  
Jose Luis Arciniegas ◽  
Wilmar Yesid Campo ◽  
María Dolores Cano

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