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Empirical Dynamic Modeling for Low-Altitude UAV Propagation Channels

Huang, Zeyu ; Rodriguez-Pineiro, Jose ; Dominguez-Bolano, Tomas ; Cai, Xuesong LU and Yin, Xuefeng (2021) In IEEE Transactions on Wireless Communications 20(8). p.5171-5185
Abstract

During the last few years, with the decrease of their sizes and costs, Unmanned Aerial Vehicles (UAVs) became more feasible for their use in general-purpose applications. As an important basis for UAV applications, the Air-to-Ground (A2G) radio propagation channel has gained attention in the channel modeling literature. However, whereas the A2G propagation channel is inherently dynamic (time-varying), the majority of the available models do not consider such a time-variability. This paper proposes a channel multi-path component (MPC) tracking algorithm and shows its ability to analyze the data collected by a real A2G measurement campaign in a suburban environment. Based on the obtained results, a time-varying statistical channel model... (More)

During the last few years, with the decrease of their sizes and costs, Unmanned Aerial Vehicles (UAVs) became more feasible for their use in general-purpose applications. As an important basis for UAV applications, the Air-to-Ground (A2G) radio propagation channel has gained attention in the channel modeling literature. However, whereas the A2G propagation channel is inherently dynamic (time-varying), the majority of the available models do not consider such a time-variability. This paper proposes a channel multi-path component (MPC) tracking algorithm and shows its ability to analyze the data collected by a real A2G measurement campaign in a suburban environment. Based on the obtained results, a time-varying statistical channel model for A2G communications in realistic suburban scenarios is proposed. The model is able to stochastically characterize parameters related to the birth and time-of-life of the multi-path components (MPCs), as well as their evolution in terms of delay, Doppler frequency or magnitude. Correlation coefficients to relate different channel characteristics are also obtained. Our work shows that the MPCs evolution over time for the UAV A2G channel can be described by simple regular patterns.

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author
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publishing date
type
Contribution to journal
publication status
published
subject
keywords
Air-to-ground, MPCs tracking, time-variant channel, UAV-based measurement
in
IEEE Transactions on Wireless Communications
volume
20
issue
8
article number
9382924
pages
15 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85103234102
ISSN
1536-1276
DOI
10.1109/TWC.2021.3065959
language
English
LU publication?
no
additional info
Funding Information: Manuscript received April 24, 2020; revised September 16, 2020 and January 7, 2021; accepted February 28, 2021. Date of publication March 22, 2021; date of current version August 12, 2021. This work was supported in part by the National Natural Science Foundation of China (NSFC) under Grant 61850410529 and Grant 61971313, in part by the Xunta de Galicia under Grant ED431C 2020/15, in part by the Centro de Investigación de Galicia CITIC under Grant ED431G2019/01, in part by the Agencia Estatal de Investigación of Spain under Grant RED2018-102668-T and Grant PID2019-104958RB-C42, in part by the ERDF funds of the EU (FEDER Galicia 2014–2020 and AEI/FEDER Programs, UE), and in part by the Austrian Federal Ministry for Digital and Economic Affairs and the National Foundation for Research, Technology and Development. The associate editor coordinating the review of this article and approving it for publication was Z. Sun. (Corresponding author: José Rodríguez-Piñeiro.) Zeyu Huang is with the College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China, and also with the CD-Laboratory for Dependable Wireless Connectivity, Institute of Telecommunications, TU Wien, 1040 Vienna, Austria (e-mail: huangzeyu@tongji.edu.cn; zeyu.huang@tuwien.ac.at). Publisher Copyright: © 2002-2012 IEEE.
id
051044c0-1dfd-44b0-9dda-a9a2727d5e4b
date added to LUP
2021-11-22 22:38:45
date last changed
2022-04-27 06:00:12
@article{051044c0-1dfd-44b0-9dda-a9a2727d5e4b,
  abstract     = {{<p>During the last few years, with the decrease of their sizes and costs, Unmanned Aerial Vehicles (UAVs) became more feasible for their use in general-purpose applications. As an important basis for UAV applications, the Air-to-Ground (A2G) radio propagation channel has gained attention in the channel modeling literature. However, whereas the A2G propagation channel is inherently dynamic (time-varying), the majority of the available models do not consider such a time-variability. This paper proposes a channel multi-path component (MPC) tracking algorithm and shows its ability to analyze the data collected by a real A2G measurement campaign in a suburban environment. Based on the obtained results, a time-varying statistical channel model for A2G communications in realistic suburban scenarios is proposed. The model is able to stochastically characterize parameters related to the birth and time-of-life of the multi-path components (MPCs), as well as their evolution in terms of delay, Doppler frequency or magnitude. Correlation coefficients to relate different channel characteristics are also obtained. Our work shows that the MPCs evolution over time for the UAV A2G channel can be described by simple regular patterns. </p>}},
  author       = {{Huang, Zeyu and Rodriguez-Pineiro, Jose and Dominguez-Bolano, Tomas and Cai, Xuesong and Yin, Xuefeng}},
  issn         = {{1536-1276}},
  keywords     = {{Air-to-ground; MPCs tracking; time-variant channel; UAV-based measurement}},
  language     = {{eng}},
  number       = {{8}},
  pages        = {{5171--5185}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Transactions on Wireless Communications}},
  title        = {{Empirical Dynamic Modeling for Low-Altitude UAV Propagation Channels}},
  url          = {{http://dx.doi.org/10.1109/TWC.2021.3065959}},
  doi          = {{10.1109/TWC.2021.3065959}},
  volume       = {{20}},
  year         = {{2021}},
}