University of Oulu

T. Zeng, M. Mozaffari, O. Semiari, W. Saad, M. Bennis and M. Debbah, "Wireless Communications and Control for Swarms of Cellular-Connected UAVs," 2018 52nd Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2018, pp. 719-723. doi: 10.1109/ACSSC.2018.8645472

Wireless communications and control for swarms of cellular-connected UAVs

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Author: Zeng, Tengchan1; Mozaffari, Mohammad2; Semiari, Omid3;
Organizations: 1Wireless@VT, Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, USA
2Ericsson, Santa Clara, CA, USA
3Department of Electrical and Computer Engineering, Georgia Southern University, Statesboro, GA, USA
4Centre for Wireless Communications, University of Oulu, Oulu, Finland
5Mathematical and Algorithmic Sciences Lab, Huawei France R&D, Paris, France
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.7 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe202002216073
Language: English
Published: Institute of Electrical and Electronics Engineers, 2018
Publish Date: 2020-02-21
Description:

Abstract

By using wireless connectivity through cellular base stations (BSs), swarms of unmanned aerial vehicles (UAVs) can provide a plethora of services ranging from delivery of goods to surveillance. In particular, UAVs in a swarm can utilize wireless communications to collect information, like velocity and heading angle, from surrounding UAVs for coordinating their operations and maintaining target speed and intra-UAV distance. However, due to the uncertainty of the wireless channel, wireless communications among UAVs will experience a transmission delay which can impair the swarm’s ability to stabilize system operation. In this paper, the problem of joint communication and control is studied for a swarm of three cellular-connected UAVs positioned in a triangle formation. In particular, a novel approach is proposed for optimizing the swarm’s operation while jointly considering the delay of the wireless network and the stability of the control system. Based on this approach, the maximum allowable delay required to prevent the instability of the swarm is determined. Moreover, by using stochastic geometry, the reliability of the wireless network is derived as the probability of meeting the stability requirement of the control system. The simulation results validate the effectiveness of the proposed joint strategy, and help obtain insightful design guidelines on how to form a stable swarm of UAVs.

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Series: Asilomar Conference on Signals, Systems & Computers
ISSN: 1058-6393
ISSN-E: 1058-6393
ISSN-L: 1058-6393
ISBN: 978-1-5386-9216-5
ISBN Print: 978-1-5386-9218-9
Pages: 719 - 723
Article number: 8645472
DOI: 10.1109/ACSSC.2018.8645472
OADOI: https://oadoi.org/10.1109/ACSSC.2018.8645472
Host publication: Conference Record of the Fifty-Second Asilomar Conference on Signals, Systems & Computers
Host publication editor: Matthews, Michael B.
Conference: Asilomar Conference on Signals, Systems and Computers
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
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