scholarly journals Adaptive 3D ray tracing approach for indoor radio signal prediction at 3.5 GHz

2022 ◽  
Vol 12 (2) ◽  
pp. 1617
Author(s):  
Mohd Nazeri Kamaruddin ◽  
Tan Kim Geok ◽  
Omar Abdul Aziz ◽  
Tharek Abd Rahman ◽  
Ferdous Hossain ◽  
...  
Keyword(s):  
Wave Propagation ◽  
Radio Wave ◽  
Ray Tracing ◽  
Radio Signal ◽  
Power Level ◽  
Signal Propagation ◽  
Radio Wave Propagation ◽  
Indoor Radio ◽  
Indoor Scenarios ◽  
Future Technologies

This paper explained an adaptive ray tracing technique in modelling indoor radio wave propagation. As compared with conventional ray tracing approach, the presented ray tracing approach offers an optimized method to trace the travelling radio signal by introducing flexibility and adaptive features in ray launching algorithm in modelling the radio wave for indoor scenarios. The simulation result was compared with measurements data for verification. By analyzing the results, the proposed adaptive technique showed a better improvement in simulation time, power level and coverage in modelling the radio wave propagation for indoor scenario and may benefit in the development of signal propagation simulators for future technologies.

scholarly journals A Novel Radio Wave Propagation Modeling Method Using System Identification Technique over Wireless Links in East Africa

2018 ◽  
Vol 2018 ◽  
pp. 1-7
Author(s):  
Solomon T. Girma ◽  
Dominic B. O. Konditi ◽  
Ciira Maina
Keyword(s):  
Wave Propagation ◽  
System Identification ◽  
Radio Wave ◽  
Free Space ◽  
Urban Areas ◽  
Radio Channel ◽  
Signal Propagation ◽  
Propagation Model ◽  
Radio Wave Propagation ◽  
Study Region

Transmission of a radio signal through a wireless radio channel is affected by refraction, diffraction and reflection, free space loss, object penetration, and absorption that corrupt the originally transmitted signal before radio wave arrives at a receiver antenna. Even though there are many factors affecting wireless radio channels, there are still a number of radio wave propagation models such as Okumura, Hata, free space model, and COST-231 to predict the received signal level at the receiver antenna. However, researchers in the field of radio wave propagation argue that there is no universally accepted propagation model to guarantee a universal recommendation. Thus, this research is aimed at determining the difference between the measured received signal levels and the received signal level calculated from the free space propagation model. System identification method has been proposed to determine this unknown difference. Measured received signal levels were collected from three randomly selected urban areas in Ethiopia using a computer, Nemo test tool, Actix software, Nokia phone, and GPS. The result from the simulations was validated against the received experimental signal level measurement taken in a different environment. From the simulation results, the mean square error (MSE) was 4.169 dB, which is much smaller than the minimum acceptable MSE value of 6 dB for good signal propagation, and 74.76% fit to the estimation data. The results clearly showed that the proposed radio wave propagation model predicts the received signal levels at 900 MHz and 1800 MHz in the study region.

The effect of human body on indoor radio wave propagation at 57–64 GHz

2009 ◽  
Author(s):  
M. Fakharzadeh ◽  
J. Ahmadi-Shokouh ◽  
B. Biglarbegian ◽  
M.R. Nezhad-Ahmadi ◽  
S. Safavi-Naeini
Keyword(s):  
Wave Propagation ◽  
Radio Wave ◽  
Human Body ◽  
Radio Wave Propagation ◽  
Indoor Radio
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