A Building Height-Dependent Gaussian Mixture Model to Characterize Air-to-Ground Wireless Channels

Ranchagoda, N, Sithamparanathan, K, Ding, M, Thayasivam, U and Gomez Chavez, K 2018, 'A Building Height-Dependent Gaussian Mixture Model to Characterize Air-to-Ground Wireless Channels', in 2018 IEEE International Conference on Communication Systems (ICCS), Chengdu, China, 19-21 December 2018, pp. 173-179.


Document type: Conference Paper
Collection: Conference Papers

Title A Building Height-Dependent Gaussian Mixture Model to Characterize Air-to-Ground Wireless Channels
Author(s) Ranchagoda, N
Sithamparanathan, K
Ding, M
Thayasivam, U
Gomez Chavez, K
Year 2018
Conference name 2018 IEEE International Conference on Communication Systems (ICCS)
Conference location Chengdu, China
Conference dates 19-21 December 2018
Proceedings title 2018 IEEE International Conference on Communication Systems (ICCS)
Publisher Institute of Electrical and Electronics Engineers
Place of publication United States
Start page 173
End page 179
Total pages 7
Abstract With the continuous evolution of Unmanned Aerial Vehicles (UAVs) in terms of flight autonomy and high payload capabilities, many new applications have emerged recently. In this context, potential usage of UAVs has been explored in providing wireless communication service. However, our understanding of the wireless channels associated with UAVs is still in its infancy. Therefore, in this paper, we use ray-tracing simulations to develop a novel Gaussian Mixture Model (GMM) for Air-to-Ground (A2G) channels. An urban environment with mean building heights of 10m, 20m, 50m, and 80m is considered to develop the proposed model. An extensive set of simulations are performed using a ray-tracing simulator, Wireless InSite ® . Our results show that the Probability Density Function (PDF) of the received power or the path loss vary depending on the mean building height and can be modelled using a GMM. The proposed model is then validated by using it to generate PDFs of a certain test set of city environments.
Subjects Electrical and Electronic Engineering not elsewhere classified
Keyword(s) autonomous aerial vehicles
Gaussian processes
mixture models
probability
ray tracing
wireless channels
building height-dependent Gaussian Mixture Model
flight autonomy
wireless communication service
ray-tracing simulations
GMM
urban environment
mean building height
DOI - identifier 10.1109/ICCS.2018.8689199
Copyright notice © 2019 IEEE
ISBN 9781538678640
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