Comparison of site-specific radio propagation path loss predictions to measurements in an urban area

2002 ◽  
Author(s):  
J. Schuster ◽  
R. Luebbers
Keyword(s):  
Urban Area ◽  
Path Loss ◽  
Radio Propagation ◽  
Propagation Path ◽  
Site Specific ◽  
Specific Radio

Radio propagation path loss models for 5G cellular networks in the 28 GHZ and 38 GHZ millimeter-wave bands

2014 ◽  
Vol 52 (9) ◽  
pp. 78-86 ◽  
Author(s):  
Ahmed Iyanda Sulyman ◽  
Almuthanna T. Nassar ◽  
Mathew K. Samimi ◽  
George R. Maccartney ◽  
Theodore S. Rappaport ◽  
...  
Keyword(s):  
Cellular Networks ◽  
Millimeter Wave ◽  
Path Loss ◽  
Radio Propagation ◽  
Propagation Path ◽  
Loss Models

scholarly journals Directional Radio Propagation Path Loss Models for Millimeter-Wave Wireless Networks in the 28-, 60-, and 73-GHz Bands

2016 ◽  
Vol 15 (10) ◽  
pp. 6939-6947 ◽  
Author(s):  
Ahmed Iyanda Sulyman ◽  
Abdulmalik Alwarafy ◽  
George R. MacCartney ◽  
Theodore S. Rappaport ◽  
Abdulhameed Alsanie
Keyword(s):  
Wireless Networks ◽  
Millimeter Wave ◽  
Path Loss ◽  
Radio Propagation ◽  
Propagation Path ◽  
Loss Models

scholarly journals Development of a Simulator for Radio Propagation Path Loss in Tunnel at 18GHz

2011 ◽  
Vol 12 (4) ◽  
pp. 1796-1802 ◽  
Author(s):  
Tae-Ki An ◽  
Back-Hyun Kim ◽  
Myung-Woo Nam ◽  
Young-Seock Lee ◽  
Sang-Guk Jeong ◽  
...  
Keyword(s):  
Path Loss ◽  
Radio Propagation ◽  
Propagation Path

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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