UAV Base Station Placement Considering Type and Access Probability of Individual Nodes

Hyoungwook Choi; Jaesung Lim; Hye Rm Cheon; Hongjun Noh; Jin Heo; Hyungwon Park

doi:10.7840/kics.2022.47.9.1285

UAV Base Station Placement Considering Type and Access Probability of Individual Nodes

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개별 노드의 유형 및 접속확률을 고려한 UAV 기지국 배치

Type: Academic journal

Author: Hyoungwook Choi (공군) Jaesung Lim (아주대학교) Hye Rm Cheon (브이씨) Hongjun Noh (LIG넥스원) Jin Heo (LIG넥스원) Hyungwon Park (LIG넥스원)

Journal: Korea Institute Of Communication Sciences The Journal of Korean Institute of Communications and Information Sciences Vol.47 No.9 KCI Accredited Journals SCOPUS

Published: 2022.9

Pages: 1,285 - 1,293 (9page)

DOI: 10.7840/kics.2022.47.9.1285

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UAV Base Station Placement Considering Type and Access Probability of Individual Nodes

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Because UAV has high mobility and quick deployment, research on UAV-BS communication and resource allocation is being actively conducted for the purpose of supporting wireless cellular networks. When each ground node has the same priority in resource allocation, a node having a high priority may not be covered. Thus, this paper proposed an UAV-BS placement algorithm that considers the type of and the channel access probability of ground node to ensure resource allocation of high priority node. UAV-BS has limited available resources by backhaul links, and ground nodes must locate within the coverage area of UAV-BS to be provided resources. In this paper, We formulate an optimization problem having a QoS requirements of backhaul links and ground nodes are considered as constraints, and object functions according to the priority of nodes and the channel access probability. We evaluated the performance through simulation and the results showed that the proposed scheme provides better coverage rate of high priority nodes and sum rate than the previously proposed algorithm based on ground node location information.

#Base station #Unmanned aerial vehicle(UAV) placement #Priority #Access probability #Optimization problem

요약
ABSTRACT
Ⅰ. 서론
Ⅱ. 시스템 모델
Ⅲ. 제안 기법
Ⅳ. 성능 분석
Ⅴ. 결론
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M. Mozaffari, W. Saad, M. Bennis, Y. H. Nam, and M. Debbah, “A tutorial on UAVs for wireless networks: Applications, challenges, and open problems,” IEEE Commun. Surv. & Tuts., vol. 21, no. 3, pp. 2334-2360, Mar. 2019. (https://doi.org/10.1109/COMST.2019.2902862)

Y. Zeng, Q. Wu, and R. Zhang, “Accessing from the sky: A tutorial on UAV communications for 5G and beyond,” in Proc. IEEE, vol. 107, no. 12, pp. 2327-2375, Dec. 2019. (https://doi.org/10.1109/JPROC.2019.2952892)

L. Zhang, H. Zhao, S. Hou. Z, Zhao, H. Xu, X. Wu, Q. Wu, and R. Zhang, “A survey on 5G millimeter wave communications for UAV-Assisted wireless networks,” IEEE Access, vol. 7, pp. 117460-117504, Jul. 2019. (https://doi.org/10.1109/ACCESS.2019.2929241)

E. Kalantari, H. Yanikomeroglu, and A. Yongacoglu, “On the number and 3D placement of drone base stations in wireless cellular networks,” 2016 IEEE 84th VTC-Fall, Sep. 2016. (https://doi.org/10.1109/VTCFall.2016.7881122)

M. Mozaffari, W. Saad, M. Bennis, and M. Debbah, “Optimal transport theory for power-efficient deployment of unmanned aerial vehicles,” in Proc. IEEE ICC, pp. 1-6, 2016. (https://doi.org/10.1109/ICC.2016.7510870)

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