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

Nirmani Hewa Ranchagoda, Sithamparanathan Kandeepan, Ming Ding, Umashanger Thayasivam, Karina Mabell Gomez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2018 IEEE International Conference on Communication Systems, ICCS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages173-179
Number of pages7
ISBN (Electronic)9781538678640
DOIs
StatePublished - Apr 11 2019
Event16th IEEE International Conference on Communication Systems, ICCS 2018 - Chengdu, China
Duration: Dec 19 2018Dec 21 2018

Publication series

Name2018 IEEE International Conference on Communication Systems, ICCS 2018

Conference

Conference16th IEEE International Conference on Communication Systems, ICCS 2018
CountryChina
CityChengdu
Period12/19/1812/21/18

Fingerprint

Unmanned aerial vehicles (UAV)
Ray tracing
Air
Probability density function
Simulators
Communication

All Science Journal Classification (ASJC) codes

  • Information Systems and Management
  • Aerospace Engineering
  • Hardware and Architecture
  • Computer Networks and Communications

Cite this

Ranchagoda, N. H., Kandeepan, S., Ding, M., Thayasivam, U., & Gomez, K. M. (2019). A Building Height-Dependent Gaussian Mixture Model to Characterize Air-to-Ground Wireless Channels. In 2018 IEEE International Conference on Communication Systems, ICCS 2018 (pp. 173-179). [8689199] (2018 IEEE International Conference on Communication Systems, ICCS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCS.2018.8689199
Ranchagoda, Nirmani Hewa ; Kandeepan, Sithamparanathan ; Ding, Ming ; Thayasivam, Umashanger ; Gomez, Karina Mabell. / A Building Height-Dependent Gaussian Mixture Model to Characterize Air-to-Ground Wireless Channels. 2018 IEEE International Conference on Communication Systems, ICCS 2018. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 173-179 (2018 IEEE International Conference on Communication Systems, ICCS 2018).
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Ranchagoda, NH, Kandeepan, S, Ding, M, Thayasivam, U & Gomez, KM 2019, A Building Height-Dependent Gaussian Mixture Model to Characterize Air-to-Ground Wireless Channels. in 2018 IEEE International Conference on Communication Systems, ICCS 2018., 8689199, 2018 IEEE International Conference on Communication Systems, ICCS 2018, Institute of Electrical and Electronics Engineers Inc., pp. 173-179, 16th IEEE International Conference on Communication Systems, ICCS 2018, Chengdu, China, 12/19/18. https://doi.org/10.1109/ICCS.2018.8689199

A Building Height-Dependent Gaussian Mixture Model to Characterize Air-to-Ground Wireless Channels. / Ranchagoda, Nirmani Hewa; Kandeepan, Sithamparanathan; Ding, Ming; Thayasivam, Umashanger; Gomez, Karina Mabell.

2018 IEEE International Conference on Communication Systems, ICCS 2018. Institute of Electrical and Electronics Engineers Inc., 2019. p. 173-179 8689199 (2018 IEEE International Conference on Communication Systems, ICCS 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Ranchagoda NH, Kandeepan S, Ding M, Thayasivam U, Gomez KM. A Building Height-Dependent Gaussian Mixture Model to Characterize Air-to-Ground Wireless Channels. In 2018 IEEE International Conference on Communication Systems, ICCS 2018. Institute of Electrical and Electronics Engineers Inc. 2019. p. 173-179. 8689199. (2018 IEEE International Conference on Communication Systems, ICCS 2018). https://doi.org/10.1109/ICCS.2018.8689199