Optimal Resource Allocation and Placement for Terrestrial and Aerial Base Stations in Mixed RF/FSO Backhaul Networks

Ju Hyung Lee; Ki Hong Park; Mohamed Slim Alouini; Young Chai Ko

doi:10.1109/VTC2020-Spring48590.2020.9128939

Optimal Resource Allocation and Placement for Terrestrial and Aerial Base Stations in Mixed RF/FSO Backhaul Networks

Ju Hyung Lee, Ki Hong Park, Mohamed Slim Alouini, Young Chai Ko

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

9 Citations (Scopus)

Abstract

In this work, we address the optimization of vertical backhaul framework where multiple aerial base station (ABS) are deployed to conFigure the intermediate backhaul links for terrestrial base stations (TBS) in wireless networks. Here, we focus on maximizing the downlink network throughput in mixed RF/FSO backhaul networks by optimizing resource allocation and placement. Specifically, the ABS-TBS association, transmit power, and positions of ABSs are alternately and iteratively optimized. To solve the corresponding mixed-integer non-convex optimization problem, we propose an efficient iterative algorithm by applying the block coordinate descent method and successive convex optimization techniques. Although we obtain suboptimal solutions due to the non-convexity of the problems, simulation results indicate that the proposed scheme demonstrates the significant network throughput gain compared with the conventional scheme.

Original language	English
Title of host publication	2020 IEEE 91st Vehicular Technology Conference, VTC Spring 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728152073
DOIs	https://doi.org/10.1109/VTC2020-Spring48590.2020.9128939
Publication status	Published - 2020 May
Event	91st IEEE Vehicular Technology Conference, VTC Spring 2020 - Antwerp, Belgium Duration: 2020 May 25 → 2020 May 28

Publication series

Name	IEEE Vehicular Technology Conference
Volume	2020-May
ISSN (Print)	1550-2252

Conference

Conference	91st IEEE Vehicular Technology Conference, VTC Spring 2020
Country/Territory	Belgium
City	Antwerp
Period	20/5/25 → 20/5/28

Bibliographical note

Funding Information:
ACKNOWLEDGEMENT This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program(IITP-2020-2015-0-00385) supervised by the IITP(Institute for Information & communications Technology Planning & Evaluation).

Publisher Copyright:
© 2020 IEEE.

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

Access to Document

10.1109/VTC2020-Spring48590.2020.9128939

Cite this

Lee, J. H., Park, K. H., Alouini, M. S., & Ko, Y. C. (2020). Optimal Resource Allocation and Placement for Terrestrial and Aerial Base Stations in Mixed RF/FSO Backhaul Networks. In 2020 IEEE 91st Vehicular Technology Conference, VTC Spring 2020 - Proceedings Article 9128939 (IEEE Vehicular Technology Conference; Vol. 2020-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTC2020-Spring48590.2020.9128939

Optimal Resource Allocation and Placement for Terrestrial and Aerial Base Stations in Mixed RF/FSO Backhaul Networks. / Lee, Ju Hyung; Park, Ki Hong; Alouini, Mohamed Slim et al.
2020 IEEE 91st Vehicular Technology Conference, VTC Spring 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. 9128939 (IEEE Vehicular Technology Conference; Vol. 2020-May).

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

Lee, JH, Park, KH, Alouini, MS & Ko, YC 2020, Optimal Resource Allocation and Placement for Terrestrial and Aerial Base Stations in Mixed RF/FSO Backhaul Networks. in 2020 IEEE 91st Vehicular Technology Conference, VTC Spring 2020 - Proceedings., 9128939, IEEE Vehicular Technology Conference, vol. 2020-May, Institute of Electrical and Electronics Engineers Inc., 91st IEEE Vehicular Technology Conference, VTC Spring 2020, Antwerp, Belgium, 20/5/25. https://doi.org/10.1109/VTC2020-Spring48590.2020.9128939

Lee JH, Park KH, Alouini MS, Ko YC. Optimal Resource Allocation and Placement for Terrestrial and Aerial Base Stations in Mixed RF/FSO Backhaul Networks. In 2020 IEEE 91st Vehicular Technology Conference, VTC Spring 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. 9128939. (IEEE Vehicular Technology Conference). doi: 10.1109/VTC2020-Spring48590.2020.9128939

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abstract = "In this work, we address the optimization of vertical backhaul framework where multiple aerial base station (ABS) are deployed to conFigure the intermediate backhaul links for terrestrial base stations (TBS) in wireless networks. Here, we focus on maximizing the downlink network throughput in mixed RF/FSO backhaul networks by optimizing resource allocation and placement. Specifically, the ABS-TBS association, transmit power, and positions of ABSs are alternately and iteratively optimized. To solve the corresponding mixed-integer non-convex optimization problem, we propose an efficient iterative algorithm by applying the block coordinate descent method and successive convex optimization techniques. Although we obtain suboptimal solutions due to the non-convexity of the problems, simulation results indicate that the proposed scheme demonstrates the significant network throughput gain compared with the conventional scheme.",

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AB - In this work, we address the optimization of vertical backhaul framework where multiple aerial base station (ABS) are deployed to conFigure the intermediate backhaul links for terrestrial base stations (TBS) in wireless networks. Here, we focus on maximizing the downlink network throughput in mixed RF/FSO backhaul networks by optimizing resource allocation and placement. Specifically, the ABS-TBS association, transmit power, and positions of ABSs are alternately and iteratively optimized. To solve the corresponding mixed-integer non-convex optimization problem, we propose an efficient iterative algorithm by applying the block coordinate descent method and successive convex optimization techniques. Although we obtain suboptimal solutions due to the non-convexity of the problems, simulation results indicate that the proposed scheme demonstrates the significant network throughput gain compared with the conventional scheme.

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Optimal Resource Allocation and Placement for Terrestrial and Aerial Base Stations in Mixed RF/FSO Backhaul Networks

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