Elevation Dependent Shadowing Model for Mobile Communications via High Altitude Platforms in Built-Up Areas

By J. Holis, P. Pechac. IEEE Transactions on Antennas and Propagation, 2008

348 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Atmospheric Science, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/4b77f6d4a79ad6bac2836aabb4f4f2c1a38f12b3

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Citations in the corpus

Unmanned Aerial Vehicle With Underlaid Device-to-Device Communications: Performance and Tradeoffs (2015, background): “These groups can be considered separately with different probabilities of occurrence as shown in [5] and [8].”
UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices (2020, background): “The UAV channel model in terms of channel characteristic of air-to-ground (A2G) is studied in various environments [5]–[7].”
A Survey of Air-to-Ground Propagation Channel Modeling for Unmanned Aerial Vehicles (2018, methodology): “For example the shadowing in [113] Fig.”
Drone Small Cells in the Clouds: Design, Deployment and Performance Analysis (2014, methodology): “As discussed in [9] , due to path loss and shadowing effects of obstacles, the characteristics of the air to ground channel depend on the height of the aerial base stations.”
Optimal LAP Altitude for Maximum Coverage (2014, background): “Plotting this probability in Figure 2 for four selected urban environments [6] Suburban (0.”
A Survey on Millimeter-Wave Beamforming Enabled UAV Communications and Networking (2021, background): “Accurate A2G and A2A channel models facilitate the performance analysis of UAV-enabled wireless communications in terms of capacity and coverage [102], [103].”
3D Trajectory Optimization in Rician Fading for UAV-Enabled Data Harvesting (2019, background): “complete information of LoS/NLoS channels at all locations in a large geographical area, a statistical probability based model for the occurrence of LoS/NLoS channels was proposed in [22] as a logistic function, whose parameters are determined by the specific environment and the elevation angle of t”
A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems (2018, background): “The air-to-ground (A2G) channel characteristics significantly differ from classical ground communication channels which, in turn, can determine the performance of UAV-based wireless communications in terms of coverage and capacity [29], [101]–[103].”
Modeling air-to-ground path loss for low altitude platforms in urban environments (2014, methodology): “Receivers that can favor this type of rays are considered having full Line of Sight (LoS) condition with the transmitter.”
Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges (2018, neutral): “sion angle between the UAV and the cellular base station, is the pathloss exponent. Also, A;B; o and o are ﬁtting parameters. 4) Air-to-Ground Path Loss for High Altitude Platforms: The authors in [219] present an empirical propagation prediction model for mobile communications from high altitude p”