Proceedings Article10.1109/GLOCOM.2014.7037248
Modeling air-to-ground path loss for low altitude platforms in urban environments
Akram Al-Hourani,Sithamparanathan Kandeepan,Abbas Jamalipour +2 more
- 01 Dec 2014
- pp 2898-2904
1.2K
TL;DR: A statistical propagation model is proposed for predicting the air-to-ground path loss between a low altitude platform and a terrestrial terminal based on the urban environment properties, and is dependent on the elevation angle between the terminal and the platform.
read more
Abstract: The reliable prediction of coverage footprint resulting from an airborne wireless radio base station, is at utmost importance, when it comes to the new emerging applications of air-to-ground wireless services. These applications include the rapid recovery of damaged terrestrial wireless infrastructure due to a natural disaster, as well as the fulfillment of sudden wireless traffic overload in certain spots due to massive movement of crowds. In this paper, we propose a statistical propagation model for predicting the air-to-ground path loss between a low altitude platform and a terrestrial terminal. The prediction is based on the urban environment properties, and is dependent on the elevation angle between the terminal and the platform. The model shows that air-to-ground path loss is following two main propagation groups, characterized by two different path loss profiles. In this paper we illustrate the methodology of which the model was deduced, as well as we present the different path loss profiles including the occurrence probability of each.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Minimization of the Worst Case Average Energy Consumption in UAV-Assisted IoT Networks
01 Sep 2022
TL;DR: In this article , the authors formulated an optimization problem to set the position and antenna beamwidth of the UAV, and the transmit power of the IoT devices subject to average-signal-to-average-interference-plus-noise ratio (SIN) constraints.
Multi-UAV Assisted Network Coverage Optimization for Rescue Operations using Reinforcement Learning
Omar Sami Oubbati,Hakim Badis,Abderrezak Rachedi,A. Lakas,Pascal Lorenz +4 more
- 08 Jan 2023
TL;DR: In this paper , the authors proposed deploying an intelligent connected group of energy-efficient UAVs assisting rescue members and providing them communication coverage in the long run using a deep reinforcement learning strategy.
13
Wireless Powered ALOHA Networks With UAV-Mounted-Base Stations
TL;DR: The solution reveals that, when a certain UAV altitude is exceeded, proportional fairness is attained when the UAV is in the hovering mode.
13
References
Optimal LAP Altitude for Maximum Coverage
TL;DR: An analytical approach to optimizing the altitude of LAPs to provide maximum radio coverage on the ground shows that the optimal altitude is a function of the maximum allowed pathloss and of the statistical parameters of the urban environment, as defined by the International Telecommunication Union.
•Book
Principles of mobile communication
Gordon L. Stuber
- 01 Jan 1996
TL;DR: The Principles of Mobile Communication, Third Edition stresses the "fundamentals" of physical-layer wireless and mobile communications engineering that are important for the design of "any" wireless system.
Elevation Dependent Shadowing Model for Mobile Communications via High Altitude Platforms in Built-Up Areas
J. Holis,Pavel Pechac +1 more
TL;DR: The HAP elevation dependent shadowing model is easy to implement and can be used for realistic planning and simulations of mobile networks provided via HAPs in built-up areas.
395
Comparisons of a computer-based propagation prediction tool with experimental data collected in urban microcellular environments
TL;DR: Comparisons with outdoor experimental data collected in Manhattan and Boston show that the computer-based propagation tool can predict signal strengths in these environments with very good accuracy, showing that simulations, rather than costly field measurements, can lead to accurate determination of the coverage area for a given system design.
294
Path Loss Models for Air-to-Ground Radio Channels in Urban Environments
Qixing Feng,JP McGeehan,E.K. Tameh,Andrew R Nix +3 more
- 07 May 2006
TL;DR: New statistical models for air-to-ground channels in an urban environment are provided and issues such as path loss and shadowing are evaluated as a function of the elevation angle to the airborne platform, rather than the more usual separation distance used for terrestrial mobile communications.