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Air–Ground Channel Characterization for Unmanned Aircraft Systems—Part I: Methods, Measurements, and Models for Over-Water Settings
Abstract
The use of unmanned aerial systems (UASs), which are also known as unmanned aerial vehicles, and by the term “drones” in the popular press, is growing rapidly. To ensure safety, UAS control and nonpayload communication (CNPC) links must operate very reliably in a variety of conditions. This requires an accurate quantitative characterization of the air-ground (AG) channel, and this channel characterization is the focus of this paper. After providing motivation and background, we describe our methods and modeling approach, followed by a description of our simultaneous dual-band (L-band ~970 MHz, C-band ~5 GHz) measurement campaign and the over-water (OW) measurement sites. Example results for path loss and root-mean-square delay spread are provided, as well as the results for channel stationarity distance (SD), used in calculating small-scale Rician K- factor and correlations between the two receiver antennas that we employed in each frequency band. Two distinct SD measures-the power delay profile (PDP) correlation coefficient and the spatial autocorrelation matrix collinearity-were used and found to be of the same order. Path-loss exponents are near that of free space, but significant two-ray cancelation effects for these OW settings warrant more accurate models, which we provide. Delay spreads in the OW channels are also dominated by the two-ray components and are hence typically very small (~10 ns) but can exceed 350 ns. A third intermittent multipath component (MPC) is also present a nonnegligible fraction of time; hence, we provide statistical wideband AG channel models to represent this. Future papers in this series will report results for the AG channel with ground sites in other types of environments.
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Cited by
Space-Air-Ground Integrated Network: A Survey
Liu, J., Shi, Y., Fadlullah, Z. M., & Kato, N. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2841996 · Cited by 1,281
Cellular-Enabled UAV Communication: A Connectivity-Constrained Trajectory Optimization Perspective
Zhang, S., Zeng, Y., & Zhang, R. (2019) · IEEE Transactions on Communications · doi:10.1109/tcomm.2018.2880468 · Cited by 426
A Comprehensive Survey on UAV Communication Channel Modeling
Yan, C., Fu, L., Zhang, J., & Wang, J. (2019) · IEEE Access · doi:10.1109/access.2019.2933173 · Cited by 395
A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems
Mozaffari, M., Saad, W., Bennis, M., Nam, Y.-H., & Debbah, M. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2902862 · Cited by 299
Federated Learning Assisted Multi-UAV Networks
Zhang, H., & Hanzo, L. (2020) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2020.3028011 · Cited by 156
Metadata
- Authors
- Matolak, D. W., & Sun, R.
- Venue
- IEEE Transactions on Vehicular Technology
- Published
- 2017-01
- Volume
- 66
- Issue
- 1
- Pages
- 26-44
- ISSN
- 0018-9545 (ISSN-L)
- 1939-9359
- OpenAlex
- W2345312651
- Cited by
- 354
- References
- 0
- FWCI
- 16.46
- Type
- journal article
- Language
- en
- Open access
- closed
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- Matolak, D. W., & Sun, R. (2017). Air–Ground Channel Characterization for Unmanned Aircraft Systems—Part I: Methods, Measurements, and Models for Over-Water Settings. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/tvt.2016.2530306
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