A Microcellular Propagation Model at UHF and Microwave Frequencies for Line-of-Sight

2006 ◽  
Author(s):  
Edgar Silva ◽  
Gilberto Carrijo
Keyword(s):  
Propagation Model ◽  
Line Of Sight ◽  
Microwave Frequencies

Multipath propagation model for line-of-sight street microcells in urban area

2000 ◽  
Vol 49 (2) ◽  
pp. 422-427 ◽  
Author(s):  
S. Ichitsubo ◽  
T. Furuno ◽  
T. Taga ◽  
R. Kawasaki
Keyword(s):  
Urban Area ◽  
Multipath Propagation ◽  
Propagation Model ◽  
Line Of Sight

Performances of Non-Line-of-Sight Ultraviolet Multi-Scatter Propagation for Noncoplanar Geometries

2012 ◽  
Vol 571 ◽  
pp. 214-218
Author(s):  
Yi Nan Tang ◽  
Xiao Ping Xie ◽  
Wei Zhao
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Impulse Response ◽  
Mathematical Description ◽  
Pulse Width ◽  
Path Loss ◽  
Propagation Model ◽  
Line Of Sight ◽  
Non Line Of Sight

A multi-scatter propagation model based on Monte Carlo method is presented. This model can be applied to all the geometries, including coplanar or noncoplanar scenario. The mathematical description of this model is deduced. We obtain the spatial positions of photon with three Cartesian coordinates after each propagation step and the received judgment conditions. Employing a photon tracing technique, Monte Carlo simulation is performed to investigate the signal impulse response and the path loss. The results indicate that, when the off-axis angle increases, the amplitude of the impulse response decreases, while the path loss increases. In addition, it is observed that the pulse width increases with the off-axis angle.

Optical scattering communication under various aerosol types based on a new non-line-of-sight propagation model

Optik ◽  
2018 ◽  
Vol 164 ◽  
pp. 362-370
Author(s):  
Shaohui Li ◽  
Xuejin Sun ◽  
Riwei Zhang ◽  
Chuanliang Zhang ◽  
Yongbo Zhou ◽  
...  
Keyword(s):  
Propagation Model ◽  
Optical Scattering ◽  
Line Of Sight ◽  
Line Of Sight Propagation ◽  
Aerosol Types ◽  
Non Line Of Sight

scholarly journals An environmental channel throughput and radio propagation modeling for vehicle-to-vehicle communication

2018 ◽  
Vol 14 (4) ◽  
pp. 155014771877253 ◽  
Author(s):  
Mohammed Abdulhakim Al-Absi ◽  
Ahmed Abdulhakim Al-Absi ◽  
TaeYong Kim ◽  
Hoon Jae Lee
Keyword(s):  
Network Performance ◽  
Path Loss ◽  
Packet Delivery Ratio ◽  
Propagation Model ◽  
Radio Propagation ◽  
Propagation Path ◽  
Line Of Sight ◽  
Delivery Ratio ◽  
Intelligent Transport System ◽  
Packet Delivery

Developing a secure and smart intelligent transport system for both safety and non-safety application services requires a certain guarantee of network performance, especially in terms of throughput and packet collision performance. The vehicular ad hoc network propagation is strongly affected due to varying nature of the environment. The existing radio propagation path loss models are designed by using mean additional attenuation sophisticated fading models. However, these models do not consider the obstacle caused due to the obstacle of the vehicle in line of sight of the transmitting and receiving vehicle. Thus, the attenuation signal at the receiving vehicles/devices is affected. To address this issue, we present an obstacle-based radio propagation model that considers the effect caused due to the presence of obstructing vehicle in line of sight. This model is evaluated under different environmental conditions (i.e. city, highway, and rural) by varying the speed of vehicles and vehicles’ density. The performance of the model is evaluated in terms of throughput, collision, transmission efficiency, and packet delivery ratio. The overall result shows that the proposed obstacle-based throughput model is efficient considering varied speed and density. For instance, in the city environment, the model achieves an average improvement of 9.98% and 25.02% for throughput performance over other environments by varying the speed and density of devices respectively and an improvement of 15.04% for packet delivery ratio performance over other environments considering varied speed of devices.

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