Understanding UAV Cellular Communications: From Existing Networks to Massive MIMO
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Abstract (arXiv)
The purpose of this article is to bestow the reader with a timely study of UAV cellular communications, bridging the gap between the 3GPP standardization status quo and the more forward-looking research. Special emphasis is placed on the downlink command and control (C&C) channel to aerial users, whose reliability is deemed of paramount technological importance for the commercial success of UAV cellular communications. Through a realistic side-by-side comparison of two network deployments -- a present-day cellular infrastructure versus a next-generation massive MIMO system -- a plurality of key facts are cast light upon, with the three main ones summarized as follows: (i) UAV cell selection is essentially driven by the secondary lobes of a base station's radiation pattern, causing UAVs to associate to far-flung cells; (ii) over a 10 MHz bandwidth, and for UAV heights of up to 300 m, massive MIMO networks can support 100 kbps C&C channels in 74% of the cases when the uplink pilots for channel estimation are reused among base station sites, and in 96% of the cases without pilot reuse across the network; (iii) supporting UAV C&C channels can considerably affect the performance of ground users on account of severe pilot contamination, unless suitable power control policies are in place.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Apr 2018.
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Citing papers per year: 2022: 2; 2023: 0; 2024: 0; 2025: 0; 2026: 1.
3 papers.
- 2022Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Surveycited by 27
- 2022A Convolutional Attention Based Deep Network Solution for UAV Network Attack Recognition over Fading Channels and Interferencecited by 2
- 2026Leveraging Large Vision Model for Multi-UAV Co-perception in Low-Altitude Wireless Networkscited by 0
- 2026Leveraging Large Vision Model for Multi-UAV Co-perception in Low-Altitude Wireless Networks13 Mar 2026
- 2022Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey7 Nov 2022
- 2022A Convolutional Attention Based Deep Network Solution for UAV Network Attack Recognition over Fading Channels and Interference16 Jul 2022