Cells on Network Flying Platforms: Optimal Resource Allocation and Deployment for Sensor Network

Ju Hyung Lee; Young Chai Ko

doi:10.1109/ICTC49870.2020.9289553

Cells on Network Flying Platforms: Optimal Resource Allocation and Deployment for Sensor Network

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this work, we tackle the optimization of network flying platform (NFP) where multiple unmanned aerial vehicles (UAVs) are deployed to configure the intermediate backhaul links for sensor networks. Here, we focus on optimizing the uplink network throughput in dual-hop mixed RF/free space optical communication (FSO) networks by resource allocation and placement. Specifically, the association between UAVs and sensors, transmit power for uplink, and positions of UAVs are jointly and iteratively optimized. Tackling the corresponding mixed-integer non-convex optimization problem, we apply the block coordinate descent method and successive convex optimization methods. Even though we obtain suboptimal solutions due to the non-convexity of the problems, simulation results show that the proposed scheme achieves the significant network throughput gain compared to the conventional scheme.

Original language	English
Title of host publication	ICTC 2020 - 11th International Conference on ICT Convergence
Subtitle of host publication	Data, Network, and AI in the Age of Untact
Publisher	IEEE Computer Society
Pages	532-534
Number of pages	3
ISBN (Electronic)	9781728167589
DOIs	https://doi.org/10.1109/ICTC49870.2020.9289553
Publication status	Published - 2020 Oct 21
Event	11th International Conference on Information and Communication Technology Convergence, ICTC 2020 - Jeju Island, Korea, Republic of Duration: 2020 Oct 21 → 2020 Oct 23

Publication series

Name	International Conference on ICT Convergence
Volume	2020-October
ISSN (Print)	2162-1233
ISSN (Electronic)	2162-1241

Conference

Conference	11th International Conference on Information and Communication Technology Convergence, ICTC 2020
Country/Territory	Korea, Republic of
City	Jeju Island
Period	20/10/21 → 20/10/23

Bibliographical note

Funding Information:
ACKNOWLEDGEMENT This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT)(NRF-2018R1A2B2007789)

Publisher Copyright:
© 2020 IEEE.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

ASJC Scopus subject areas

Information Systems
Computer Networks and Communications

Access to Document

10.1109/ICTC49870.2020.9289553

Cite this

Lee, J. H., & Ko, Y. C. (2020). Cells on Network Flying Platforms: Optimal Resource Allocation and Deployment for Sensor Network. In ICTC 2020 - 11th International Conference on ICT Convergence: Data, Network, and AI in the Age of Untact (pp. 532-534). Article 9289553 (International Conference on ICT Convergence; Vol. 2020-October). IEEE Computer Society. https://doi.org/10.1109/ICTC49870.2020.9289553

Cells on Network Flying Platforms: Optimal Resource Allocation and Deployment for Sensor Network. / Lee, Ju Hyung; Ko, Young Chai.
ICTC 2020 - 11th International Conference on ICT Convergence: Data, Network, and AI in the Age of Untact. IEEE Computer Society, 2020. p. 532-534 9289553 (International Conference on ICT Convergence; Vol. 2020-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lee, JH & Ko, YC 2020, Cells on Network Flying Platforms: Optimal Resource Allocation and Deployment for Sensor Network. in ICTC 2020 - 11th International Conference on ICT Convergence: Data, Network, and AI in the Age of Untact., 9289553, International Conference on ICT Convergence, vol. 2020-October, IEEE Computer Society, pp. 532-534, 11th International Conference on Information and Communication Technology Convergence, ICTC 2020, Jeju Island, Korea, Republic of, 20/10/21. https://doi.org/10.1109/ICTC49870.2020.9289553

@inproceedings{4270649e761c4d7eb3c52ac8f16e07b0,

title = "Cells on Network Flying Platforms: Optimal Resource Allocation and Deployment for Sensor Network",

abstract = "In this work, we tackle the optimization of network flying platform (NFP) where multiple unmanned aerial vehicles (UAVs) are deployed to configure the intermediate backhaul links for sensor networks. Here, we focus on optimizing the uplink network throughput in dual-hop mixed RF/free space optical communication (FSO) networks by resource allocation and placement. Specifically, the association between UAVs and sensors, transmit power for uplink, and positions of UAVs are jointly and iteratively optimized. Tackling the corresponding mixed-integer non-convex optimization problem, we apply the block coordinate descent method and successive convex optimization methods. Even though we obtain suboptimal solutions due to the non-convexity of the problems, simulation results show that the proposed scheme achieves the significant network throughput gain compared to the conventional scheme.",

author = "Lee, {Ju Hyung} and Ko, {Young Chai}",

note = "Funding Information: ACKNOWLEDGEMENT This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT)(NRF-2018R1A2B2007789) Publisher Copyright: {\textcopyright} 2020 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 11th International Conference on Information and Communication Technology Convergence, ICTC 2020 ; Conference date: 21-10-2020 Through 23-10-2020",

year = "2020",

month = oct,

day = "21",

doi = "10.1109/ICTC49870.2020.9289553",

language = "English",

series = "International Conference on ICT Convergence",

publisher = "IEEE Computer Society",

pages = "532--534",

booktitle = "ICTC 2020 - 11th International Conference on ICT Convergence",

}

TY - GEN

T1 - Cells on Network Flying Platforms

T2 - 11th International Conference on Information and Communication Technology Convergence, ICTC 2020

AU - Lee, Ju Hyung

AU - Ko, Young Chai

N1 - Funding Information: ACKNOWLEDGEMENT This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT)(NRF-2018R1A2B2007789) Publisher Copyright: © 2020 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2020/10/21

Y1 - 2020/10/21

N2 - In this work, we tackle the optimization of network flying platform (NFP) where multiple unmanned aerial vehicles (UAVs) are deployed to configure the intermediate backhaul links for sensor networks. Here, we focus on optimizing the uplink network throughput in dual-hop mixed RF/free space optical communication (FSO) networks by resource allocation and placement. Specifically, the association between UAVs and sensors, transmit power for uplink, and positions of UAVs are jointly and iteratively optimized. Tackling the corresponding mixed-integer non-convex optimization problem, we apply the block coordinate descent method and successive convex optimization methods. Even though we obtain suboptimal solutions due to the non-convexity of the problems, simulation results show that the proposed scheme achieves the significant network throughput gain compared to the conventional scheme.

AB - In this work, we tackle the optimization of network flying platform (NFP) where multiple unmanned aerial vehicles (UAVs) are deployed to configure the intermediate backhaul links for sensor networks. Here, we focus on optimizing the uplink network throughput in dual-hop mixed RF/free space optical communication (FSO) networks by resource allocation and placement. Specifically, the association between UAVs and sensors, transmit power for uplink, and positions of UAVs are jointly and iteratively optimized. Tackling the corresponding mixed-integer non-convex optimization problem, we apply the block coordinate descent method and successive convex optimization methods. Even though we obtain suboptimal solutions due to the non-convexity of the problems, simulation results show that the proposed scheme achieves the significant network throughput gain compared to the conventional scheme.

UR - http://www.scopus.com/inward/record.url?scp=85098996718&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85098996718&partnerID=8YFLogxK

U2 - 10.1109/ICTC49870.2020.9289553

DO - 10.1109/ICTC49870.2020.9289553

M3 - Conference contribution

AN - SCOPUS:85098996718

T3 - International Conference on ICT Convergence

SP - 532

EP - 534

BT - ICTC 2020 - 11th International Conference on ICT Convergence

PB - IEEE Computer Society

Y2 - 21 October 2020 through 23 October 2020

ER -

Cells on Network Flying Platforms: Optimal Resource Allocation and Deployment for Sensor Network

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this