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Cited by 432

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Enabling UAV cellular with millimeter-wave communication: potentials and approaches

Open access
Xiao, Zhenyu, Xia, Pengfei, Xia, Xiang-gen·2016·IEEE Communications Magazine

Abstract

To support high data rate urgent or ad hoc communications, we consider mmWave UAV cellular networks and the associated challenges and solutions. To enable fast beamforming training and tracking, we first investigate a hierarchical structure of beamforming codebooks and design of hierarchical codebooks with different beam widths via sub-array techniques. We next examine the Doppler effect as a result of UAV movement and find that the Doppler effect may not be catastrophic when high gain directional transmission is used. We further explore the use of mmWave spatial-division multiple access and demonstrate its clear advantage in improving the cellular network capacity. We also explore different ways of dealing with signal blockage and point out that possible adaptive UAV cruising algorithms would be necessary to counteract signal blockage. Finally, we identify a close relationship between UAV positioning and directional mmWave user discovery, where update of the former may directly impact the latter and vice versa.

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Metadata

Authors
Xiao, Z., Xia, P., & Xia, X.-G.
Venue
IEEE Communications Magazine
Published
2016-05
Volume
54
Issue
5
Pages
66-73
ISSN
0163-6804 (ISSN-L)
OpenAlex
W2258127536
Cited by
432
References
12
FWCI
66.83
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Enabling UAV cellular with millimeter-wave communication: potentials and approaches. https://app.cochat.ai/papers/10.1109/mcom.2016.7470937
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Xiao, Z., Xia, P., & Xia, X.-G. (2016). Enabling UAV cellular with millimeter-wave communication: potentials and approaches. IEEE Communications Magazine. https://doi.org/10.1109/mcom.2016.7470937

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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.