Geometry-Based MPC Tracking and Modeling Algorithm for Time-Varying UAV Channels
(2021) In IEEE Transactions on Wireless Communications 20(4). p.2700-2715- Abstract
In parallel with the decrease in cost, size and weight of Unmanned Aerial Vehicles (UAVs) and the increase of their flight autonomy, many commercial applications are rapidly arising. Most of those applications rely on a communications system between a terrestrial base station and the UAV. Due to the UAV movement, time-variant channel models are required. In this article, we propose a geometrical model for the channel Multipath Components (MPCs) evolution with the UAV flight that supports MPCs that are born and die in several occasions due to blockages. Based on this model, the novel Geometry-Based Spatial-Consistent MPC Tracking Method (GSTM) is proposed and its performance on channel MPCs tracking was shown both by simulations and by... (More)
In parallel with the decrease in cost, size and weight of Unmanned Aerial Vehicles (UAVs) and the increase of their flight autonomy, many commercial applications are rapidly arising. Most of those applications rely on a communications system between a terrestrial base station and the UAV. Due to the UAV movement, time-variant channel models are required. In this article, we propose a geometrical model for the channel Multipath Components (MPCs) evolution with the UAV flight that supports MPCs that are born and die in several occasions due to blockages. Based on this model, the novel Geometry-Based Spatial-Consistent MPC Tracking Method (GSTM) is proposed and its performance on channel MPCs tracking was shown both by simulations and by an Air-to-Ground (A2G) low-height UAV measurement campaign. The GSTM also provides the parameters of a geometrical model of the evolution of the main MPCs of the channel, which allows to identify the scatterers that lead to the MPCs and greatly contributes to the understanding of the propagation mechanisms in A2G environments. The correctness of the MPC tracking is proven to be higher than 90% and the results show that the model obtained by the GSTM includes more than 95% of the received power.
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- author
- Rodriguez-Pineiro, Jose ; Huang, Zeyu ; Cai, Xuesong LU ; Dominguez-Bolano, Tomas and Yin, Xuefeng
- publishing date
- 2021-04
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Air-to-Ground, Communications channels, MPCs tracking, Time-varying channels, UAV
- in
- IEEE Transactions on Wireless Communications
- volume
- 20
- issue
- 4
- article number
- 9298956
- pages
- 16 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:85098760092
- ISSN
- 1536-1276
- DOI
- 10.1109/TWC.2020.3044077
- language
- English
- LU publication?
- no
- additional info
- Funding Information: This work was supported in part by the National Natural Science Foundation of China under Grant 61850410529 and Grant 61971313; in part by the Xunta de Galicia to support the Centro de Investigacion de Galicia "CITIC" under Grant ED431C 2020/15 and Grant ED431G2019/01, in part by the Agencia Estatal de Investigacion of Spain under Grant RED2018-102668-T and Grant PID2019-104958RB-C42; in part by ERDF funds of the EU (FEDER Galicia 2014-2020 and AEI/FEDER Programs, UE), in part by the Austrian Federal Ministry for Digital and Economic Affairs, and in part by the National Foundation for Research, Technology and Development. Funding Information: Manuscript received April 17, 2020; revised September 7, 2020 and November 25, 2020; accepted November 29, 2020. Date of publication December 18, 2020; date of current version April 9, 2021. This work was supported in part by the National Natural Science Foundation of China under Grant 61850410529 and Grant 61971313; in part by the Xunta de Galicia to support the Centro de Investigación de Galicia “CITIC” under Grant ED431C 2020/15 and 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 ERDF funds of the EU (FEDER Galicia 2014-2020 and AEI/FEDER Programs, UE), in part by the Austrian Federal Ministry for Digital and Economic Affairs, and in part by the National Foundation for Research, Technology and Development. The associate editor coordinating the review of this article and approving it for publication was M. Ding. (Corresponding author: Xuefeng Yin.) José Rodríguez-Piñeiro and Xuefeng Yin are with the College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China (e-mail: j.rpineiro@tongji.edu.cn; yinxuefeng@tongji.edu.cn). Publisher Copyright: © 2002-2012 IEEE.
- id
- ca2fe8eb-43bf-4062-ac24-7078ccdf307c
- date added to LUP
- 2021-11-22 22:40:38
- date last changed
- 2022-04-27 06:00:12
@article{ca2fe8eb-43bf-4062-ac24-7078ccdf307c,
abstract = {{<p>In parallel with the decrease in cost, size and weight of Unmanned Aerial Vehicles (UAVs) and the increase of their flight autonomy, many commercial applications are rapidly arising. Most of those applications rely on a communications system between a terrestrial base station and the UAV. Due to the UAV movement, time-variant channel models are required. In this article, we propose a geometrical model for the channel Multipath Components (MPCs) evolution with the UAV flight that supports MPCs that are born and die in several occasions due to blockages. Based on this model, the novel Geometry-Based Spatial-Consistent MPC Tracking Method (GSTM) is proposed and its performance on channel MPCs tracking was shown both by simulations and by an Air-to-Ground (A2G) low-height UAV measurement campaign. The GSTM also provides the parameters of a geometrical model of the evolution of the main MPCs of the channel, which allows to identify the scatterers that lead to the MPCs and greatly contributes to the understanding of the propagation mechanisms in A2G environments. The correctness of the MPC tracking is proven to be higher than 90% and the results show that the model obtained by the GSTM includes more than 95% of the received power. </p>}},
author = {{Rodriguez-Pineiro, Jose and Huang, Zeyu and Cai, Xuesong and Dominguez-Bolano, Tomas and Yin, Xuefeng}},
issn = {{1536-1276}},
keywords = {{Air-to-Ground; Communications channels; MPCs tracking; Time-varying channels; UAV}},
language = {{eng}},
number = {{4}},
pages = {{2700--2715}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{IEEE Transactions on Wireless Communications}},
title = {{Geometry-Based MPC Tracking and Modeling Algorithm for Time-Varying UAV Channels}},
url = {{http://dx.doi.org/10.1109/TWC.2020.3044077}},
doi = {{10.1109/TWC.2020.3044077}},
volume = {{20}},
year = {{2021}},
}