TY - JOUR
T1 - UAV-Aided wireless communication designs with propulsion energy limitations
AU - Eom, Subin
AU - Lee, Hoon
AU - Park, Junhee
AU - Lee, Inkyu
N1 - Funding Information:
Manuscript received March 22, 2019; revised July 2, 2019 and September 16, 2019; accepted November 4, 2019. Date of publication November 11, 2019; date of current version January 15, 2020. This work was supported by the National Research Foundation through the Ministry of Science, ICT, and Future Planning (MSIP), Korean Government under Grant 2017R1A2B3012316. This paper was presented in part at the IEEE International Conference on Communications, Kansas City, MO, USA, May 2018 [1]. The review of this article was coordinated by Dr. S. Misra. (Corresponding author: Inkyu Lee.) S. Eom, J. Park, and I. Lee are with the School of Electrical Engineering, Korea University, Seoul 02841, South Korea (e-mail: esb777@korea.ac.kr; pjh0585@korea.ac.kr; inkyu@korea.ac.kr).
Publisher Copyright:
© 1967-2012 IEEE.
PY - 2020/1
Y1 - 2020/1
N2 - In this paper, we investigate wireless communication systems where an unmanned aerial vehicle (UAV) supports data transmissions of multiple ground nodes (GNs) while maneuvering over the operating area. The propulsion energy consumption of the UAV is taken into consideration in this system, thus the UAV should operate under the certain threshold of the velocity and the acceleration. We formulate the minimum average rate maximization problem and the energy efficiency (EE) maximization problem by jointly optimizing the trajectory, velocity, and acceleration of the UAV and the uplink transmit power at the GNs. As these problems are non-convex in general, the successive convex approximation (SCA) scheme is employed. To utilize this technique, the non-convex constraints are turned into proper convex approximations, and iterative algorithms are proposed which converge to a local optimal point. From the numerical results, it is demonstrated that the proposed algorithms outperform baseline schemes for both problems. Especially for the EE maximization problem, the proposed algorithm exhibits about 109% gain over the baseline scheme.
AB - In this paper, we investigate wireless communication systems where an unmanned aerial vehicle (UAV) supports data transmissions of multiple ground nodes (GNs) while maneuvering over the operating area. The propulsion energy consumption of the UAV is taken into consideration in this system, thus the UAV should operate under the certain threshold of the velocity and the acceleration. We formulate the minimum average rate maximization problem and the energy efficiency (EE) maximization problem by jointly optimizing the trajectory, velocity, and acceleration of the UAV and the uplink transmit power at the GNs. As these problems are non-convex in general, the successive convex approximation (SCA) scheme is employed. To utilize this technique, the non-convex constraints are turned into proper convex approximations, and iterative algorithms are proposed which converge to a local optimal point. From the numerical results, it is demonstrated that the proposed algorithms outperform baseline schemes for both problems. Especially for the EE maximization problem, the proposed algorithm exhibits about 109% gain over the baseline scheme.
KW - UAV communication
KW - energy efficiency (EE)
KW - throughput maximization
KW - trajectory optimization
UR - http://www.scopus.com/inward/record.url?scp=85078462219&partnerID=8YFLogxK
U2 - 10.1109/TVT.2019.2952883
DO - 10.1109/TVT.2019.2952883
M3 - Article
AN - SCOPUS:85078462219
SN - 0018-9545
VL - 69
SP - 651
EP - 662
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 1
M1 - 8896004
ER -