University of Oulu

M. Mozaffari, W. Saad, M. Bennis and M. Debbah, "Drone-Based Antenna Array for Service Time Minimization in Wireless Networks," 2018 IEEE International Conference on Communications (ICC), Kansas City, MO, 2018, pp. 1-6. doi: 10.1109/ICC.2018.8422374

Drone-based antenna array for service time minimization in wireless networks

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Author: Mozaffari, Mohammad1; Saad, Walid1; Bennis, Mehdi2;
Organizations: 1Wireless@VT, Electrical and Computer Engineering Department, Virginia Tech, VA, USA
2CWC - Centre for Wireless Communications, University of Oulu, Finland
3Mathematical and Algorithmic Sciences Lab, Huawei France R&D, Paris, France
4CentraleSupelec, Université Paris-Saclay, Gif-sur-Yvette, France
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.4 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2018
Publish Date: 2020-02-24


In this paper, the effective use of multiple drones as an aerial antenna array that provides wireless service to ground users is investigated. In particular, under the goal of minimizing the service time needed for servicing ground users, a novel framework for deploying a drone- based antenna array system whose elements are single-antenna drones is proposed. To this end, first, the antenna array gain is maximized by optimizing the drone spacing within the array. In this case, using perturbation techniques, the drone spacing optimization problem is addressed by solving successive, perturbed convex optimization problems. In the second step, the optimal locations of the drones around the array’s center are derived such that the service time for each ground user is minimized. Simulation results show that the proposed approach can significantly reduce the service time to ground users compared to a single drone that uses the same amount of power as the array. The results also show that the network’s spectral efficiency can be improved by 78% while leveraging the drone antenna array system.

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Series: IEEE International Conference on Communications
ISSN: 1550-3607
ISSN-E: 1938-1883
ISSN-L: 1550-3607
ISBN: 978-1-5386-3180-5
ISBN Print: 978-1-5386-3181-2
Pages: 1 - 6
Article number: 8422374
DOI: 10.1109/ICC.2018.8422374
Host publication: 2018 IEEE International Conference on Communications, ICC 2018
Conference: IEEE International Conference on Communications
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work was supported in part by the Army Research Office (ARO) under Grant W911NF-17-1-0593, in part by the US NSF under Grant AST- 1506297, by the ERC Starting Grant MORE (Advanced Mathematical Tools for Complex Network Engineering), and by Academy of Finland (CARMA).
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