An empirical air-to-ground channel model based on passive measurements in LTE
(2019) In IEEE Transactions on Vehicular Technology 68(2). p.1140-1154- Abstract
In this paper, a recently conducted measurement campaign for unmanned-aerial-vehicle channels is introduced. The downlink signals of an in-service long-time-evolution network, which is deployed in a suburban scenario were acquired. Five horizontal and five vertical flight routes were considered. The channel impulse responses (CIRs) are extracted from the received data by exploiting the cell-specific signals, and the underlying physical propagation mechanisms are interpreted by exploiting the propagation graph modeling approach. Based on the CIRs, the parameters of multipath components are estimated by using a high-resolution algorithm derived according to the space-alternating generalized expectation-maximization (SAGE) principle. Based... (More)
In this paper, a recently conducted measurement campaign for unmanned-aerial-vehicle channels is introduced. The downlink signals of an in-service long-time-evolution network, which is deployed in a suburban scenario were acquired. Five horizontal and five vertical flight routes were considered. The channel impulse responses (CIRs) are extracted from the received data by exploiting the cell-specific signals, and the underlying physical propagation mechanisms are interpreted by exploiting the propagation graph modeling approach. Based on the CIRs, the parameters of multipath components are estimated by using a high-resolution algorithm derived according to the space-alternating generalized expectation-maximization (SAGE) principle. Based on the SAGE results, channel characteristics including the path loss, shadow fading, fast fading, delay spread, and Doppler frequency spread are thoroughly investigated for different heights and horizontal distances, which constitute a stochastic model.
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- author
- Cai, Xuesong LU ; Rodriguez-Pineiro, Jose ; Yin, Xuefeng ; Wang, Nanxin ; Ai, Bo ; Pedersen, Gert Frolund and Yuste, Antonio Perez
- publishing date
- 2019-02
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- air-to-ground channel, channel dispersions, fading behaviors, propagation graph, Unmanned aerial vehicle
- in
- IEEE Transactions on Vehicular Technology
- volume
- 68
- issue
- 2
- article number
- 8576578
- pages
- 15 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:85058901968
- ISSN
- 0018-9545
- DOI
- 10.1109/TVT.2018.2886961
- language
- English
- LU publication?
- no
- additional info
- Funding Information: Manuscript received January 28, 2018; revised July 16, 2018 and October 30, 2018; accepted December 5, 2018. Date of publication December 14, 2018; date of current version February 12, 2019. This work was supported in part by the National Natural Science Foundation of China (NSFC) under Grants 61471268 and 61850410529, and in part by Virtusuo project funded by Innovation Fund Denmark. The review of this paper was coordinated by Dr. A. J. Al-Dweik. (Corresponding authors: José Rodríguez-Piñeiro; Xuefeng Yin.) X. Cai was with the College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China. He is now with the Antennas, Propagation and Millimetre-wave Systems, Department of Electronic Systems, Faculty of Engineering and Science, Aalborg University, Aalborg 9220, Denmark (e-mail:,xuc@es.aau.dk). Publisher Copyright: © 1967-2012 IEEE.
- id
- f99042e8-4746-400f-9b54-bf93c1eb851c
- date added to LUP
- 2021-11-22 22:46:31
- date last changed
- 2025-04-04 14:13:38
@article{f99042e8-4746-400f-9b54-bf93c1eb851c,
abstract = {{<p>In this paper, a recently conducted measurement campaign for unmanned-aerial-vehicle channels is introduced. The downlink signals of an in-service long-time-evolution network, which is deployed in a suburban scenario were acquired. Five horizontal and five vertical flight routes were considered. The channel impulse responses (CIRs) are extracted from the received data by exploiting the cell-specific signals, and the underlying physical propagation mechanisms are interpreted by exploiting the propagation graph modeling approach. Based on the CIRs, the parameters of multipath components are estimated by using a high-resolution algorithm derived according to the space-alternating generalized expectation-maximization (SAGE) principle. Based on the SAGE results, channel characteristics including the path loss, shadow fading, fast fading, delay spread, and Doppler frequency spread are thoroughly investigated for different heights and horizontal distances, which constitute a stochastic model.</p>}},
author = {{Cai, Xuesong and Rodriguez-Pineiro, Jose and Yin, Xuefeng and Wang, Nanxin and Ai, Bo and Pedersen, Gert Frolund and Yuste, Antonio Perez}},
issn = {{0018-9545}},
keywords = {{air-to-ground channel; channel dispersions; fading behaviors; propagation graph; Unmanned aerial vehicle}},
language = {{eng}},
number = {{2}},
pages = {{1140--1154}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{IEEE Transactions on Vehicular Technology}},
title = {{An empirical air-to-ground channel model based on passive measurements in LTE}},
url = {{http://dx.doi.org/10.1109/TVT.2018.2886961}},
doi = {{10.1109/TVT.2018.2886961}},
volume = {{68}},
year = {{2019}},
}