TY - GEN
T1 - A Building Height-Dependent Gaussian Mixture Model to Characterize Air-to-Ground Wireless Channels
AU - Ranchagoda, Nirmani Hewa
AU - Kandeepan, Sithamparanathan
AU - Ding, Ming
AU - Thayasivam, Umashanger
AU - Gomez, Karina Mabell
N1 - Publisher Copyright: © 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85065025635
UR - https://www.scopus.com/pages/publications/85065025635#tab=citedBy
U2 - 10.1109/ICCS.2018.8689199
DO - 10.1109/ICCS.2018.8689199
M3 - Conference contribution
T3 - 2018 IEEE International Conference on Communication Systems, ICCS 2018
SP - 173
EP - 179
BT - 2018 IEEE International Conference on Communication Systems, ICCS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th IEEE International Conference on Communication Systems, ICCS 2018
Y2 - 19 December 2018 through 21 December 2018
ER -