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

Mobile Network Softwarization and Service Customization

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

2 Sitaatiot (Scopus)

Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	ICC 2021 - IEEE International Conference on Communications, Proceedings
Kustantaja	IEEE
Sivumäärä	6
ISBN (elektroninen)	978-1-7281-7122-7
DOI - pysyväislinkit	https://doi.org/10.1109/ICC42927.2021.9500245
Tila	Julkaistu - 6 elok. 2021
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	IEEE International Conference on Communications - Online, Montreal, Kanada Kesto: 14 kesäk. 2021 → 23 kesäk. 2021 https://icc2021.ieee-icc.org/

Julkaisusarja

Nimi	IEEE International Conference on Communications
ISSN (painettu)	1550-3607
ISSN (elektroninen)	1938-1883

Conference

Conference	IEEE International Conference on Communications
Lyhennettä	ICC Workshops
Maa/Alue	Kanada
Kaupunki	Montreal
Ajanjakso	14/06/2021 → 23/06/2021
www-osoite	https://icc2021.ieee-icc.org/

Pääsy asiakirjaan

10.1109/ICC42927.2021.9500245

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

Muut tiedostot ja linkit

Linkki julkaisuun Scopuksessa

5G!Drones: 5G for Drone-based Vertical Applications
Taleb, T. (Vastuullinen tutkija), Abada, A. (Projektin jäsen), Shahbaztabar, D. (Projektin jäsen), Bekkouche, O. (Projektin jäsen), Manner, J. (Projektin jäsen), Dang, Y. (Projektin jäsen), Hireche, O. (Projektin jäsen), Rajasekaran, A. (Projektin jäsen), Hellaoui, H. (Projektin jäsen), Khennouche, H. (Projektin jäsen), Meles, M. (Projektin jäsen), Knuuttila, O. (Projektin jäsen) & Sehad, N. (Projektin jäsen)
01/06/2019 → 30/11/2022
Projekti: EU: Framework programmes funding
CSN: Customized Software Networking across Multiple Administrative Domains
Taleb, T. (Vastuullinen tutkija), Addad, R. (Projektin jäsen), Afolabi, I. (Projektin jäsen), Amor, A. (Projektin jäsen), Yu, H. (Projektin jäsen), Kianpisheh, S. (Projektin jäsen), Mariouak, M. (Projektin jäsen), Hellaoui, H. (Projektin jäsen), Sehad, N. (Projektin jäsen), Boudi, A. (Projektin jäsen), El Marai, O. (Projektin jäsen), Shokrnezhad, M. (Projektin jäsen), Bagaa, M. (Projektin jäsen), Maity, I. (Projektin jäsen), Naas, S.-A. (Projektin jäsen), Bekkouche, O. (Projektin jäsen), Benzaid, C. (Projektin jäsen), Kerfah, I. (Projektin jäsen), Mada, B. (Projektin jäsen) & Yang, B. (Projektin jäsen)
01/09/2017 → 31/08/2021
Projekti: Academy of Finland: Other research funding

Siteeraa tätä

@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, 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. julkaisussa ICC 2021 - IEEE International Conference on Communications, Proceedings. IEEE International Conference on Communications, IEEE, IEEE International Conference on Communications, Montreal, Kanada, 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).

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

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 - http://www.scopus.com/inward/record.url?scp=85115719046&partnerID=8YFLogxK

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

Y2 - 14 June 2021 through 23 June 2021

ER -

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

Abstrakti

Julkaisusarja

Conference

Pääsy asiakirjaan

Muut tiedostot ja linkit

Sormenjälki

Projektit

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

CSN: Customized Software Networking across Multiple Administrative Domains

Siteeraa tätä