University of Oulu

B. Yang, T. Taleb and G. Chen, "On Sum Rate Maximization Study for Cellular-Connected UAV Swarm Communications," ICC 2021 - IEEE International Conference on Communications, 2021, pp. 1-6, doi: 10.1109/ICC42927.2021.9500245

On sum rate maximization study for cellular-connected UAV swarm communications

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Author: Yang, Bin1,2; Taleb, Tarik2,3; Chen, Guilin1
Organizations: 1School of Computer and Information Engineering, Chuzhou University, China
2School of Electrical Engineering, Aalto University, Finland
3Centre for Wireless Communications, University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.6 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2021
Publish Date: 2021-10-22


The integration of cellular networks and unmanned aerial vehicle (UAV) swarm communications is expected to be a promising technology to provide ubiquitous network connectivity for various UAV assisted Internet of Things (IoT) applications. To support these IoT applications with stringent requirement of rate performance, this paper explores the maximum sum rate performance for the cellular-connected UAV swarm communications. The sum rate maximization can be formulated as a nonlinear and nonconvex optimization problem with the constraints of transmit power of UAVs, elevation angle, azimuth angle and height of antenna array equipped at base station (BS). According to the Karush–Kuhn–Tucker (KKT) optimality conditions and the standard interference function, we propose an iterative algorithm to solve the problem, wherein the problem is transformed into a concave optimization problem by utilizing the rate approximation and logarithmic transformations. The iterative algorithm is proved to converge to a global solution for the approximated concave optimization problem. Finally, simulation results are provided to indicate the effect of some important system parameters on the sum rate performance in the system.

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Series: IEEE International Conference on Communications
ISSN: 1550-3607
ISSN-E: 1938-1883
ISSN-L: 1550-3607
ISBN: 978-1-7281-7122-7
ISBN Print: 978-1-7281-7123-4
Pages: 1 - 6
DOI: 10.1109/ICC42927.2021.9500245
Host publication: 2021 IEEE International Conference on Communications, ICC 2021
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 by the European Union’s Horizon 2020 Research and Innovation Program through the 5G!Drones Project under Grant No. 857031, by the Academy of Finland 6Genesis project under Grant No. 318927, by the Academy of Finland CSN project under Grant No. 311654, by the NSFC under Grant No. 61962033, by the Anhui Province project under Grant No. 1808085MF165, gxgwfx2019060, and KJ2019A0643, by the Yunnan Province project under Grant No.2018FH001-010, and by the CHZU project under Grant No. 2020qd16 and zrjz2019011.
EU Grant Number: (857031) 5G!Drones - Unmanned Aerial Vehicle Vertical Applications’ Trials Leveraging Advanced 5G Facilities
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
311654 (Academy of Finland Funding decision)
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