A Novel Air-to-Ground Channel Modeling Method Based on Graph Model
(2019) 13th European Conference on Antennas and Propagation, EuCAP 2019- Abstract
Air-to-ground (A2G) communication is envisioned to support numerous applications in 5G wireless networks. In this paper, an active measurement campaign for unmanned aerial vehicle (UAV) channels is introduced. Simulation based on Graph Model (GM) is also conducted for this specific measurement. Both the measured and simulated channel impulse responses (CIRs) are extracted. Based on the CIRs, the multipath components (MPCs) are estimated by using a high-resolution algorithm derived according to the space-alternating generalized expectation-maximization (SAGE) principle. The GM simulation performance is assessed by comparing the concatenated power delay profiles (CPDPs) and MPCs with the measurement results. In addition, an object-labeled... (More)
Air-to-ground (A2G) communication is envisioned to support numerous applications in 5G wireless networks. In this paper, an active measurement campaign for unmanned aerial vehicle (UAV) channels is introduced. Simulation based on Graph Model (GM) is also conducted for this specific measurement. Both the measured and simulated channel impulse responses (CIRs) are extracted. Based on the CIRs, the multipath components (MPCs) are estimated by using a high-resolution algorithm derived according to the space-alternating generalized expectation-maximization (SAGE) principle. The GM simulation performance is assessed by comparing the concatenated power delay profiles (CPDPs) and MPCs with the measurement results. In addition, an object-labeled clustering method is proposed to further analyze the low altitude UAV channel contributed by individual objects/buildings.
(Less)
- author
- Wang, Nanxin ; Yin, Xuefeng ; Cai, Xuesong LU ; Rodriguez-Pineiro, Jose ; Yuste, Antonio Perez and Tian, Li
- publishing date
- 2019-03
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Air-to-ground channel, Clustering and building impacts, Graph model
- host publication
- 13th European Conference on Antennas and Propagation, EuCAP 2019
- article number
- 8739830
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 13th European Conference on Antennas and Propagation, EuCAP 2019
- conference location
- Krakow, Poland
- conference dates
- 2019-03-31 - 2019-04-05
- external identifiers
-
- scopus:85068456056
- ISBN
- 9781538681275
- 9788890701887
- language
- English
- LU publication?
- no
- additional info
- Funding Information: This work was jointly supported by National Natural Science Foundation of China (NSFC) (Grant No. 61850410529 and No.61471268), the project “5G channel simulation and performance verification based on big data” under Grant No. 2018ZX03001031-003 of Ministry of Industry and Information Technology of People’s Republic of China, and the project “Propagation channel measurements, parameter estimation and modeling for multiple scenarios” of Shanghai Institute of Microsystem and Information Technology, China Academy of Science. Corresponding author: Xuefeng Yin. Publisher Copyright: © 2019 European Association on Antennas and Propagation.
- id
- 58275492-428f-4223-946d-47a6b088a1b2
- alternative location
- https://ieeexplore.ieee.org/document/8739830
- date added to LUP
- 2021-11-22 22:45:31
- date last changed
- 2025-07-14 09:09:48
@inproceedings{58275492-428f-4223-946d-47a6b088a1b2,
abstract = {{<p>Air-to-ground (A2G) communication is envisioned to support numerous applications in 5G wireless networks. In this paper, an active measurement campaign for unmanned aerial vehicle (UAV) channels is introduced. Simulation based on Graph Model (GM) is also conducted for this specific measurement. Both the measured and simulated channel impulse responses (CIRs) are extracted. Based on the CIRs, the multipath components (MPCs) are estimated by using a high-resolution algorithm derived according to the space-alternating generalized expectation-maximization (SAGE) principle. The GM simulation performance is assessed by comparing the concatenated power delay profiles (CPDPs) and MPCs with the measurement results. In addition, an object-labeled clustering method is proposed to further analyze the low altitude UAV channel contributed by individual objects/buildings.</p>}},
author = {{Wang, Nanxin and Yin, Xuefeng and Cai, Xuesong and Rodriguez-Pineiro, Jose and Yuste, Antonio Perez and Tian, Li}},
booktitle = {{13th European Conference on Antennas and Propagation, EuCAP 2019}},
isbn = {{9781538681275}},
keywords = {{Air-to-ground channel; Clustering and building impacts; Graph model}},
language = {{eng}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{A Novel Air-to-Ground Channel Modeling Method Based on Graph Model}},
url = {{https://ieeexplore.ieee.org/document/8739830}},
year = {{2019}},
}