The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A Survey of Channel Modeling for UAV Communications
Abstract
Unmanned aerial vehicles (UAVs) have attracted great interest in rapid deployment for both civil and military applications. UAV communication has its own distinctive channel characteristics compared to the widely used cellular or satellite systems. Accurate channel characterization is crucial for the performance optimization and design of efficient UAV communication. However, several challenges exist in UAV channel modeling. For example, the propagation characteristics of UAV channels are under explored for spatial and temporal variations in non–stationary channels. Additionally, airframe shadowing has not yet been investigated for small size rotary UAVs. This paper provides an extensive survey of the measurement methods proposed for UAV channel modeling that use low altitude platforms and discusses various channel characterization efforts. We also review from a contemporary perspective of UAV channel modeling approaches, and outline future research challenges in this domain.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Wireless communications with unmanned aerial vehicles: opportunities and challenges
Zeng, Y., Zhang, R., & Lim, T. J. (2016) · IEEE Communications Magazine · doi:10.1109/mcom.2016.7470933 · Cited by 4,048
Chen, M., Mozaffari, M., Saad, W., Yin, C., Debbah, M., & Hong, C. S. (2017) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2017.2680898 · Cited by 742
Research works printed but not linked: 102
- newhall, 2003, Wideband air-to-ground radio channel measurements using an antenna array at 2 GHz for low-altitude operations, Proc IEEE Military Commun Conf (MILCOM), 1422
- rice, 2000, narrowband channel model for aeronautical telemetry, IEEE Transactions on Aerospace and Electronic Systems, 36, 1371, 10.1109/7.892684 · DOI
- 10.1109/MILCOM.2011.6127720 · doi:10.1109/milcom.2011.6127720
- 10.1109/MILCOM.2011.6127710 · DOI
- 10.1109/MILCOM.2011.6127578 · DOI
- 10.1109/TVT.2017.2677884 · DOI
- 10.1109/VTC.1985.1623334 · doi:10.1109/vtc.1985.1623334
- 10.1109/TCOM.1986.1096642 · doi:10.1109/tcom.1986.1096642
- 10.1109/TAP.1962.1137916 · doi:10.1109/tap.1962.1137916
- 10.1109/MWC.2014.6940424 · DOI
- 10.1016/j.aeue.2011.04.006 · DOI
- lee, 2008, Experimental characterizations of an air to land channel over sea surface in C band, Proc 29th USRI Gen Assembly, 2
- kunisch, 2011, Wideband time–variant air–to–ground radio channel measurements at 5 GHz, Proc 5th Eur Conf Antennas Propag (EUCAP), 1386
- 10.1109/WCNC.2017.7925794 · DOI
- 10.1109/JPROC.2011.2159690 · DOI · Paper page
- 10.1109/TCOMM.2017.2722500 · DOI · Paper page
- 2013, Integration of civil unmanned aircraft systems (UAS) in the National Airspace System (NAS) Roadmap
- 10.1109/LWC.2017.2779483 · DOI
- 10.1109/93.809230 · doi:10.1109/93.809230
- 10.1109/TWC.2016.2531652 · DOI · Paper page
- 2018, Flying Drones or Model Aircraft Recreationally
- 10.1109/GLOCOMW.2012.6477816 · DOI
- 10.1109/WCNC.2014.6953010 · doi:10.1109/wcnc.2014.6953010
- 10.1109/INFCOM.2013.6566747 · DOI · Paper page
- 10.1109/GLOCOMW.2011.6162389 · DOI · Paper page
- 10.1109/GLOCOMW.2015.7414180 · DOI · Paper page
- 10.1109/MCOM.2016.7470935 · doi:10.1109/mcom.2016.7470935
- 10.1109/JSEN.2010.2064294 · doi:10.1109/jsen.2010.2064294
- 10.1145/1322263.1322275 · DOI · Paper page
- 10.1109/PIMRC.2015.7343625 · doi:10.1109/pimrc.2015.7343625
- 10.2514/6.2004-6321 · DOI · Paper page
- 10.1109/TAES.2004.1292142 · DOI
- 10.1109/COMST.2004.5342290 · DOI · Paper page
- 2014, National Aeronautics and Space Administration
- 10.1109/ISWCS.2010.5624356 · DOI
- 10.1002/sat.941 · DOI · Paper page
- 10.1109/GLOCOM.2006.917 · DOI
- 10.1109/JPROC.2008.2006127 · DOI · Paper page
- feng, 2006, Path loss models for air-to-ground radio channels in urban environments, Proc IEEE Veh Technol Conf (VTC-Spring), 2901
- 10.1109/GLOCOM.2014.7037248 · DOI · Paper page
- 10.1109/GLOCOMW.2017.8269204 · DOI
- 10.23919/EuCAP.2017.7928479 · DOI
- 10.1109/CCNC.2017.7983161 · doi:10.1109/ccnc.2017.7983161
- 10.1109/GLOCOM.2016.7842372 · doi:10.1109/glocom.2016.7842372
- simunek, 2011, Excess loss model for low elevation links in urban areas for UAVs, Radio Eng, 20, 561
- 10.1109/TAP.2013.2256098 · DOI
- 10.1155/2013/890629 · doi:10.1155/2013/890629
- 10.1109/TAP.2013.2280874 · DOI
- 2016, Ericsson and China Mobile Conduct World’s First 5G Drone Prototype Field Trial
- 2017, LTE Unmanned Aircraft Systems Trial Report
- 10.1109/AERO.2012.6187152 · DOI
- 10.1109/COMST.2016.2560343 · DOI · Paper page
- 10.1016/j.adhoc.2012.12.004 · DOI · Paper page
- 10.1109/JLT.2014.2364795 · doi:10.1109/jlt.2014.2364795
- 10.1109/MAES.2016.150170 · doi:10.1109/maes.2016.150170
- 10.1109/MCOM.2016.1600178CM · DOI · Paper page
- 10.1109/MCOM.2016.7470937 · DOI · Paper page
- 10.1109/GLOCOMW.2010.5700253 · doi:10.1109/glocomw.2010.5700253
- 10.1109/ICCCN.2006.286291 · doi:10.1109/icccn.2006.286291
- 10.1109/GLOCOMW.2010.5700244 · doi:10.1109/glocomw.2010.5700244
- 10.1109/MILCOM.2006.302070 · doi:10.1109/milcom.2006.302070
- 10.1109/VTCFall.2015.7390963 · DOI
- 10.1109/LWC.2017.2710045 · DOI · Paper page
- 10.1109/LWC.2017.2755643 · DOI · Paper page
- 10.1109/ICUAS.2017.7991402 · doi:10.1109/icuas.2017.7991402
- 10.1109/GLOCOMW.2010.5700251 · DOI
- 10.1109/TVT.2015.2419738 · DOI
- 2016, Drone Advisory Committee (DAC)
- 10.1109/COMST.2015.2495297 · DOI · Paper page
- 2013, Minimum Operational Performance Standards for Unmanned Aircraft Systems SC-228
- 10.1109/VETEC.1992.245268 · doi:10.1109/vetec.1992.245268
- 10.1109/ICC.2016.7510820 · DOI · Paper page
- 10.1109/TVT.2007.907022 · doi:10.1109/tvt.2007.907022
- 10.1109/LCOMM.2017.2776215 · DOI · Paper page
- 10.1109/TSP.2007.896119 · DOI
- 10.1109/TWC.2017.2756644 · doi:10.1109/twc.2017.2756644
- 10.1109/VTCFall.2017.8288376 · DOI · Paper page
- 10.1109/MCOM.2016.7470934 · DOI · Paper page
- 10.1109/GLOCOMW.2015.7413991 · doi:10.1109/glocomw.2015.7413991
- gao, 2013, Analysis of unmanned aerial vehicle MIMO channel capacity based on aircraft attitude, WSEAS Trans Inf Sci Appl, 10, 58
- 10.1109/SIBIRCON.2010.5555104 · doi:10.1109/sibircon.2010.5555104
- 10.1109/DASC.2017.8102055 · doi:10.1109/dasc.2017.8102055
- 10.1109/LWC.2014.2342736 · DOI · Paper page
- 10.1109/TAES.2016.160356 · DOI
- 10.1109/LCOMM.2016.2578312 · DOI · Paper page
- 10.1109/TVT.2016.2530306 · DOI · Paper page
- 10.1109/TVT.2016.2585504 · DOI · Paper page
- 10.1109/TVT.2017.2659651 · DOI · Paper page
- 10.1109/MILCOM.2002.1180518 · DOI
- 10.1109/TITS.2008.922881 · DOI · Paper page
- 10.1109/VTCFall.2015.7390797 · doi:10.1109/vtcfall.2015.7390797
- 10.1109/ICCNC.2012.6167508 · doi:10.1109/iccnc.2012.6167508
- 10.1109/MILCOM.2015.7357683 · doi:10.1109/milcom.2015.7357683
- 10.1109/GLOCOMW.2016.7848992 · DOI
- 10.1109/ICC.2015.7248771 · doi:10.1109/icc.2015.7248771
- 10.1109/LWC.2017.2778242 · DOI
- 10.1109/JSAC.2012.120614 · DOI · Paper page
- 10.1109/LCOMM.2017.2710306 · DOI
- 10.1109/LWC.2017.2700840 · DOI · Paper page
- 10.1109/ICC.2016.7510870 · DOI · Paper page
- 10.1109/GLOCOMW.2017.8269064 · DOI
- 10.1109/GLOCOM.2015.7417609 · DOI · Paper page
Cited by
Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges
Shakhatreh, H., Sawalmeh, A. H., Al-Fuqaha, A., Dou, Z., Almaita, E., Khalil, I., Othman, N. S., Khreishah, A., & Guizani, M. (2019) · IEEE Access · doi:10.1109/access.2019.2909530 · Cited by 2,529
UAV Communications for 5G and Beyond: Recent Advances and Future Trends
Li, B., Fei, Z., & Zhang, Y. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2887086 · Cited by 1,377
A Survey on the Convergence of Edge Computing and AI for UAVs: Opportunities and Challenges
McEnroe, P., Wang, S., & Liyanage, M. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3176400 · Cited by 482
Optimal 3D-Trajectory Design and Resource Allocation for Solar-Powered UAV Communication Systems
Sun, Y., Xu, D., Ng, D. W. K., Dai, L., & Schober, R. (2019) · IEEE Transactions on Communications · doi:10.1109/tcomm.2019.2900630 · Cited by 452
A Survey on Millimeter-Wave Beamforming Enabled UAV Communications and Networking
Xiao, Z., Zhu, L., Liu, Y., Yi, P., Zhang, R., Xia, X.-G., & Schober, R. (2022) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3124512 · Cited by 420
Metadata
- Authors
- Khuwaja, A. A., Chen, Y., Zhao, N., Alouini, M.-S., & Dobbins, P.
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2018
- Volume
- 20
- Issue
- 4
- Pages
- 2804-2821
- ISSN
- 1553-877X
- 2373-745X
- OpenAlex
- W2963580658
- Cited by
- 898
- References
- 2
- FWCI
- 76.68
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Survey of Channel Modeling for UAV Communications. https://app.cochat.ai/papers/10.1109/comst.2018.2856587
- The paper
- Khuwaja, A. A., Chen, Y., Zhao, N., Alouini, M.-S., & Dobbins, P. (2018). A Survey of Channel Modeling for UAV Communications. IEEE Communications Surveys & Tutorials. https://doi.org/10.1109/comst.2018.2856587
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
