TY - JOUR
T1 - A method for deploying the minimal number of UAV base stations in cellular networks
AU - Huang, Hailong
AU - Huang, Chao
AU - Ma, Dazhong
N1 - Funding Information:
Manuscript received May 24, 2019; revised August 1, 2019; accepted August 12, 2019. This work was supported by the National Natural Science Foundation of China (61903076, 61773109) and Liaoning Revitalization Talents Program (XLYC1807009). Recommended by Associate Editor Long Chen. (Corresponding author: Chao Huang.) Citation: H. L. Huang, C. Huang, and D. Z. Ma, “A method for deploying the minimal number of UAV base stations in cellular networks,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 2, pp. 559–567, Mar. 2020.
Publisher Copyright:
© 2014 Chinese Association of Automation.
PY - 2020/3
Y1 - 2020/3
N2 - In this paper, we consider the scenario of using unmanned aerial vehicles base stations UAV-BSs to serve cellular users. In particular, we focus on finding the minimum number of UAV-BSs as well as their deployment. We propose an optimization model which minimizes the number of UAV-BSs and optimize their positions such that the user equipment UE covered ratio is no less than the expectation of network suppliers, the UEs receive acceptable downlink rates, and the UAV-BSs can work in a sustainable manner. We show the NP-hardness of this problem and then propose a method to address it. The method first estimates the range of the number of UAV-BSs and then converts the original problem to one which maximizes the UE served ratio, given the number of UAV-BSs within that range. We present a maximizing algorithm to solve it with the proof of convergence. Extensive simulations based on a realistic dataset have been conducted to demonstrate the effectiveness of the proposed method.
AB - In this paper, we consider the scenario of using unmanned aerial vehicles base stations UAV-BSs to serve cellular users. In particular, we focus on finding the minimum number of UAV-BSs as well as their deployment. We propose an optimization model which minimizes the number of UAV-BSs and optimize their positions such that the user equipment UE covered ratio is no less than the expectation of network suppliers, the UEs receive acceptable downlink rates, and the UAV-BSs can work in a sustainable manner. We show the NP-hardness of this problem and then propose a method to address it. The method first estimates the range of the number of UAV-BSs and then converts the original problem to one which maximizes the UE served ratio, given the number of UAV-BSs within that range. We present a maximizing algorithm to solve it with the proof of convergence. Extensive simulations based on a realistic dataset have been conducted to demonstrate the effectiveness of the proposed method.
UR - http://www.scopus.com/inward/record.url?scp=85076312459&partnerID=8YFLogxK
U2 - 10.1109/JAS.2019.1911813
DO - 10.1109/JAS.2019.1911813
M3 - Journal article
AN - SCOPUS:85076312459
SN - 2329-9266
VL - 7
SP - 559
EP - 567
JO - IEEE/CAA Journal of Automatica Sinica
JF - IEEE/CAA Journal of Automatica Sinica
IS - 2
M1 - 8920200
ER -