On Sum Rate Maximization Study for Cellular-Connected UAV Swarm Communications

Bin Yang; Tarik Taleb; Guilin Chen

doi:10.1109/ICC42927.2021.9500245

On Sum Rate Maximization Study for Cellular-Connected UAV Swarm Communications

Bin Yang
, Tarik Taleb
, Guilin Chen

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

4 Citations (Web of Science)

Abstract

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.

Original language	English
Title of host publication	ICC 2021 - IEEE International Conference on Communications, Proceedings
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	978-1-7281-7122-7
DOIs	https://doi.org/10.1109/ICC42927.2021.9500245
Publication status	Published - 6 Aug 2021
MoE publication type	A4 Conference publication
Event	IEEE International Conference on Communications Workshops - Online, Montreal, Canada Duration: 14 Jun 2021 → 23 Jun 2021 https://icc2021.ieee-icc.org/

Publication series

Name	IEEE International Conference on Communications
ISSN (Print)	1550-3607
ISSN (Electronic)	1938-1883

Conference

Conference	IEEE International Conference on Communications Workshops
Abbreviated title	ICC Workshops
Country/Territory	Canada
City	Montreal
Period	14/06/2021 → 23/06/2021
Internet address	https://icc2021.ieee-icc.org/

Funding

Acknowledgment: 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. This work was supported by the European Union s Horizon 2020 Research and Innovation Program through the 5G!Drones Project under Grant No. 857031

Keywords

cellular networks
directional antennas.
IoT
power control
sum rate
UAV swarm

Access to Document

10.1109/ICC42927.2021.9500245

http://urn.fi/urn:nbn:fi-fe2021102252013

Cite this

@inproceedings{e6ab56e6c13d4fedb03bfddd2cebde88,

title = "On Sum Rate Maximization Study for Cellular-Connected UAV Swarm Communications",

abstract = "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.",

keywords = "cellular networks, directional antennas., IoT, power control, sum rate, UAV swarm",

author = "Bin Yang and Tarik Taleb and Guilin Chen",

note = "Funding Information: Acknowledgment: This work was supported by the European Union{\textquoteright}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. Funding Information: This work was supported by the European Union s Horizon 2020 Research and Innovation Program through the 5G!Drones Project under Grant No. 857031 Publisher Copyright: {\textcopyright} 2021 IEEE. | openaire: EC/H2020/857031/EU//5G!Drones; IEEE International Conference on Communications Workshops, ICC Workshops ; Conference date: 14-06-2021 Through 23-06-2021",

year = "2021",

month = aug,

day = "6",

doi = "10.1109/ICC42927.2021.9500245",

language = "English",

series = "IEEE International Conference on Communications",

publisher = "IEEE",

booktitle = "ICC 2021 - IEEE International Conference on Communications, Proceedings",

address = "United States",

url = "https://icc2021.ieee-icc.org/",

}

Yang, B, Taleb, T & Chen, G 2021, On Sum Rate Maximization Study for Cellular-Connected UAV Swarm Communications. in ICC 2021 - IEEE International Conference on Communications, Proceedings. IEEE International Conference on Communications, IEEE, IEEE International Conference on Communications Workshops, Montreal, Canada, 14/06/2021. https://doi.org/10.1109/ICC42927.2021.9500245

On Sum Rate Maximization Study for Cellular-Connected UAV Swarm Communications. / Yang, Bin; Taleb, Tarik; Chen, Guilin.
ICC 2021 - IEEE International Conference on Communications, Proceedings. IEEE, 2021. (IEEE International Conference on Communications).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - On Sum Rate Maximization Study for Cellular-Connected UAV Swarm Communications

AU - Yang, Bin

AU - Taleb, Tarik

AU - Chen, Guilin

N1 - Funding Information: Acknowledgment: 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. Funding Information: This work was supported by the European Union s Horizon 2020 Research and Innovation Program through the 5G!Drones Project under Grant No. 857031 Publisher Copyright: © 2021 IEEE. | openaire: EC/H2020/857031/EU//5G!Drones

PY - 2021/8/6

Y1 - 2021/8/6

N2 - 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.

AB - 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.

KW - cellular networks

KW - directional antennas.

KW - IoT

KW - power control

KW - sum rate

KW - UAV swarm

UR - https://www.scopus.com/pages/publications/85115719046

U2 - 10.1109/ICC42927.2021.9500245

DO - 10.1109/ICC42927.2021.9500245

M3 - Conference article in proceedings

AN - SCOPUS:85115719046

T3 - IEEE International Conference on Communications

BT - ICC 2021 - IEEE International Conference on Communications, Proceedings

PB - IEEE

T2 - IEEE International Conference on Communications Workshops

Y2 - 14 June 2021 through 23 June 2021

ER -

On Sum Rate Maximization Study for Cellular-Connected UAV Swarm Communications

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

5G!Drones: 5G for Drone-based Vertical Applications

CSN: Customized Software Networking across Multiple Administrative Domains

Cite this

On Sum Rate Maximization Study for Cellular-Connected UAV Swarm Communications

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Projects

5G!Drones: 5G for Drone-based Vertical Applications

CSN: Customized Software Networking across Multiple Administrative Domains

Cite this