3D Drone-cell deployment optimization for drone assisted radio access networks

Weisen Shi; Junling Li; Wenchao Xu; Haibo Zhou; Ning Zhang; Xuemin Shen

doi:10.1109/ICCChina.2017.8330438

3D Drone-cell deployment optimization for drone assisted radio access networks

Weisen Shi^*, Junling Li, Wenchao Xu, Haibo Zhou, Ning Zhang, Xuemin Shen

^*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

17 Citations (Scopus)

Abstract

Drone-cell can enhance both the capacity and the coverage of Radio Access Networks (RAN) through relaying data between base stations and potential users. In this paper, we investigate the 3D spatial deployment problem of drone-cell in Drone Assisted Radio Access Networks (DA-RAN), and propose a solution based on the Particle Swarm Optimization (PSO) algorithm. According to the drone-to-ground channel model, we formulate the drone-cell deployment problem with the objective to maximize coverage ratio of necessary users, while maintaining the link qualities between drone-cells and RAN. We design the per-Drone Iterated PSO (DI-PSO) algorithm to find the optimized deployments corresponding to different number of drone-cells. Simulation results show that the drone-cell deployments generated by the DI-PSO algorithm can improve RAN connectivity, and achieve higher coverage ratio when compared with the pure PSO based approach.

Original language	English
Title of host publication	2017 IEEE/CIC International Conference on Communications in China, ICCC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781538645024
DOIs	https://doi.org/10.1109/ICCChina.2017.8330438
Publication status	Published - 2 Jul 2017
Externally published	Yes
Event	2017 IEEE/CIC International Conference on Communications in China, ICCC 2017 - Qingdao, China Duration: 22 Oct 2017 → 24 Oct 2017

Publication series

Name	2017 IEEE/CIC International Conference on Communications in China, ICCC 2017
Volume	2018-January

Conference

Conference	2017 IEEE/CIC International Conference on Communications in China, ICCC 2017
Country/Territory	China
City	Qingdao
Period	22/10/17 → 24/10/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Access to Document

10.1109/ICCChina.2017.8330438

Cite this

Shi, W., Li, J., Xu, W., Zhou, H., Zhang, N., & Shen, X. (2017). 3D Drone-cell deployment optimization for drone assisted radio access networks. In 2017 IEEE/CIC International Conference on Communications in China, ICCC 2017 (pp. 1-6). (2017 IEEE/CIC International Conference on Communications in China, ICCC 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCChina.2017.8330438

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abstract = "Drone-cell can enhance both the capacity and the coverage of Radio Access Networks (RAN) through relaying data between base stations and potential users. In this paper, we investigate the 3D spatial deployment problem of drone-cell in Drone Assisted Radio Access Networks (DA-RAN), and propose a solution based on the Particle Swarm Optimization (PSO) algorithm. According to the drone-to-ground channel model, we formulate the drone-cell deployment problem with the objective to maximize coverage ratio of necessary users, while maintaining the link qualities between drone-cells and RAN. We design the per-Drone Iterated PSO (DI-PSO) algorithm to find the optimized deployments corresponding to different number of drone-cells. Simulation results show that the drone-cell deployments generated by the DI-PSO algorithm can improve RAN connectivity, and achieve higher coverage ratio when compared with the pure PSO based approach.",

author = "Weisen Shi and Junling Li and Wenchao Xu and Haibo Zhou and Ning Zhang and Xuemin Shen",

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Shi, W, Li, J, Xu, W, Zhou, H, Zhang, N & Shen, X 2017, 3D Drone-cell deployment optimization for drone assisted radio access networks. in 2017 IEEE/CIC International Conference on Communications in China, ICCC 2017. 2017 IEEE/CIC International Conference on Communications in China, ICCC 2017, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 2017 IEEE/CIC International Conference on Communications in China, ICCC 2017, Qingdao, China, 22/10/17. https://doi.org/10.1109/ICCChina.2017.8330438

3D Drone-cell deployment optimization for drone assisted radio access networks. / Shi, Weisen; Li, Junling; Xu, Wenchao et al.
2017 IEEE/CIC International Conference on Communications in China, ICCC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-6 (2017 IEEE/CIC International Conference on Communications in China, ICCC 2017; Vol. 2018-January).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

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AU - Li, Junling

AU - Xu, Wenchao

AU - Zhou, Haibo

AU - Zhang, Ning

AU - Shen, Xuemin

PY - 2017/7/2

Y1 - 2017/7/2

N2 - Drone-cell can enhance both the capacity and the coverage of Radio Access Networks (RAN) through relaying data between base stations and potential users. In this paper, we investigate the 3D spatial deployment problem of drone-cell in Drone Assisted Radio Access Networks (DA-RAN), and propose a solution based on the Particle Swarm Optimization (PSO) algorithm. According to the drone-to-ground channel model, we formulate the drone-cell deployment problem with the objective to maximize coverage ratio of necessary users, while maintaining the link qualities between drone-cells and RAN. We design the per-Drone Iterated PSO (DI-PSO) algorithm to find the optimized deployments corresponding to different number of drone-cells. Simulation results show that the drone-cell deployments generated by the DI-PSO algorithm can improve RAN connectivity, and achieve higher coverage ratio when compared with the pure PSO based approach.

AB - Drone-cell can enhance both the capacity and the coverage of Radio Access Networks (RAN) through relaying data between base stations and potential users. In this paper, we investigate the 3D spatial deployment problem of drone-cell in Drone Assisted Radio Access Networks (DA-RAN), and propose a solution based on the Particle Swarm Optimization (PSO) algorithm. According to the drone-to-ground channel model, we formulate the drone-cell deployment problem with the objective to maximize coverage ratio of necessary users, while maintaining the link qualities between drone-cells and RAN. We design the per-Drone Iterated PSO (DI-PSO) algorithm to find the optimized deployments corresponding to different number of drone-cells. Simulation results show that the drone-cell deployments generated by the DI-PSO algorithm can improve RAN connectivity, and achieve higher coverage ratio when compared with the pure PSO based approach.

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BT - 2017 IEEE/CIC International Conference on Communications in China, ICCC 2017

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Shi W, Li J, Xu W, Zhou H, Zhang N, Shen X. 3D Drone-cell deployment optimization for drone assisted radio access networks. In 2017 IEEE/CIC International Conference on Communications in China, ICCC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1-6. (2017 IEEE/CIC International Conference on Communications in China, ICCC 2017). doi: 10.1109/ICCChina.2017.8330438

3D Drone-cell deployment optimization for drone assisted radio access networks

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