TY - JOUR
T1 - 3D Drone Base Station Placement and Resource Allocation with FSO-Based Backhaul in Hotspots
AU - Zhang, Shuai
AU - Ansari, Nirwan
N1 - Funding Information:
Manuscript received April 3, 2019; revised November 6, 2019; accepted December 22, 2019. Date of publication January 13, 2020; date of current version March 12, 2020. This work was supported in part by the U.S. National Science Foundation under Grant CNS-1814748. The review of this article was coordinated by Prof. J. Ren. (Corresponding author: Shuai Zhang.) The authors are with the Advanced Networking Laboratory Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102 USA (e-mail: sz355@njit.edu; nirwan.ansari@njit.edu). Digital Object Identifier 10.1109/TVT.2020.2965920
Publisher Copyright:
© 1967-2012 IEEE.
PY - 2020/3
Y1 - 2020/3
N2 - Deploying a Drone Base Station (DBS) over a hotspot area is a promising solution to improve the user Quality of Service (QoS) by helping the Macro Base Station (MBS) transmit traffic to the users. Essentially, the DBS, which works as a relay node between the users and the MBS, can increase the users' data rates by virtue of more likely short-distance Line of Sight (LoS) communication links. Furthermore, deploying DBS is more cost-effective and flexible as compared to deploying small cells. The DBS can employ Free Space Optical (FSO) links for backhauling between the DBS and the MBS. In this paper, we study the 3D deployment and resource allocation of a DBS in a given hotspot area with the objective of maximizing the throughput in the access link under the constraint of user QoS, the capacity of the backhaul link, and total available bandwidth and power. To solve the problem, we first decompose the primal problem into two subproblems, i.e., the 3D DBS placement problem and the resource allocation problem. Second, we propose a cyclic iterative algorithm to solve the two sub-problems separately and use the output of one as the input of the other. The performance of the algorithm is demonstrated via extensive simulations.
AB - Deploying a Drone Base Station (DBS) over a hotspot area is a promising solution to improve the user Quality of Service (QoS) by helping the Macro Base Station (MBS) transmit traffic to the users. Essentially, the DBS, which works as a relay node between the users and the MBS, can increase the users' data rates by virtue of more likely short-distance Line of Sight (LoS) communication links. Furthermore, deploying DBS is more cost-effective and flexible as compared to deploying small cells. The DBS can employ Free Space Optical (FSO) links for backhauling between the DBS and the MBS. In this paper, we study the 3D deployment and resource allocation of a DBS in a given hotspot area with the objective of maximizing the throughput in the access link under the constraint of user QoS, the capacity of the backhaul link, and total available bandwidth and power. To solve the problem, we first decompose the primal problem into two subproblems, i.e., the 3D DBS placement problem and the resource allocation problem. Second, we propose a cyclic iterative algorithm to solve the two sub-problems separately and use the output of one as the input of the other. The performance of the algorithm is demonstrated via extensive simulations.
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U2 - 10.1109/TVT.2020.2965920
DO - 10.1109/TVT.2020.2965920
M3 - Article
AN - SCOPUS:85082057973
SN - 0018-9545
VL - 69
SP - 3322
EP - 3329
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 3
M1 - 8957249
ER -