IEICE TRANSACTIONS on Communications
Throughput Maximization of UAV-Enabled Wireless Network in the Presence of Jammers: Joint Trajectory and Communication Design
Summary :
Unmanned aerial vehicle (UAV) communication has drawn rising interest recently with the distinctive gains brought by its inherent mobility. In this paper, we investigate the throughput maximization problem in UAV-enabled uplink communication, where multiple ground nodes communicate with a UAV while a group of ground jammers send jamming signals to jam the communications between UAV and the ground nodes. In contrast to the previous works that only considering UAV's transmit power allocation and two-dimension (2D) trajectory design, the ground nodes' transmit power allocation and scheduling along with the UAV's three-dimensional (3D) trajectory design are jointly optimized. The formulated throughput maximization problem is a mixed-integer non-convex programme that hard to be solved in general. Thus, we propose an iterative algorithm to make the problem trackable by applying the block coordinate descent and successive convex optimization techniques. Simulation results show that our proposed algorithm outperforms the benchmark methods that improving the throughput of the system significantly.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E102-B No.10 pp.1983-1990
- Publication Date
- 2019/10/01
- Publicized
- 2019/04/26
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2018DRP0034
- Type of Manuscript
- Special Section PAPER (Special Section on Exploring Drone for Mobile Sensing, Coverage and Communications: Theory and Applications)
- Category
Authors
Yang WU
The Army Engineering University of PLA
Weiwei YANG
The Army Engineering University of PLA
Di ZHANG
Zhengzhou University
Xiaoli SUN
The Army Engineering University of PLA
Keyword
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Yang WU, Weiwei YANG, Di ZHANG, Xiaoli SUN, "Throughput Maximization of UAV-Enabled Wireless Network in the Presence of Jammers: Joint Trajectory and Communication Design" in IEICE TRANSACTIONS on Communications,
vol. E102-B, no. 10, pp. 1983-1990, October 2019, doi: 10.1587/transcom.2018DRP0034.
Abstract: Unmanned aerial vehicle (UAV) communication has drawn rising interest recently with the distinctive gains brought by its inherent mobility. In this paper, we investigate the throughput maximization problem in UAV-enabled uplink communication, where multiple ground nodes communicate with a UAV while a group of ground jammers send jamming signals to jam the communications between UAV and the ground nodes. In contrast to the previous works that only considering UAV's transmit power allocation and two-dimension (2D) trajectory design, the ground nodes' transmit power allocation and scheduling along with the UAV's three-dimensional (3D) trajectory design are jointly optimized. The formulated throughput maximization problem is a mixed-integer non-convex programme that hard to be solved in general. Thus, we propose an iterative algorithm to make the problem trackable by applying the block coordinate descent and successive convex optimization techniques. Simulation results show that our proposed algorithm outperforms the benchmark methods that improving the throughput of the system significantly.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2018DRP0034/_p
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@ARTICLE{e102-b_10_1983,
author={Yang WU, Weiwei YANG, Di ZHANG, Xiaoli SUN, },
journal={IEICE TRANSACTIONS on Communications},
title={Throughput Maximization of UAV-Enabled Wireless Network in the Presence of Jammers: Joint Trajectory and Communication Design},
year={2019},
volume={E102-B},
number={10},
pages={1983-1990},
abstract={Unmanned aerial vehicle (UAV) communication has drawn rising interest recently with the distinctive gains brought by its inherent mobility. In this paper, we investigate the throughput maximization problem in UAV-enabled uplink communication, where multiple ground nodes communicate with a UAV while a group of ground jammers send jamming signals to jam the communications between UAV and the ground nodes. In contrast to the previous works that only considering UAV's transmit power allocation and two-dimension (2D) trajectory design, the ground nodes' transmit power allocation and scheduling along with the UAV's three-dimensional (3D) trajectory design are jointly optimized. The formulated throughput maximization problem is a mixed-integer non-convex programme that hard to be solved in general. Thus, we propose an iterative algorithm to make the problem trackable by applying the block coordinate descent and successive convex optimization techniques. Simulation results show that our proposed algorithm outperforms the benchmark methods that improving the throughput of the system significantly.},
keywords={},
doi={10.1587/transcom.2018DRP0034},
ISSN={1745-1345},
month={October},}
Copy
TY - JOUR
TI - Throughput Maximization of UAV-Enabled Wireless Network in the Presence of Jammers: Joint Trajectory and Communication Design
T2 - IEICE TRANSACTIONS on Communications
SP - 1983
EP - 1990
AU - Yang WU
AU - Weiwei YANG
AU - Di ZHANG
AU - Xiaoli SUN
PY - 2019
DO - 10.1587/transcom.2018DRP0034
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E102-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 2019
AB - Unmanned aerial vehicle (UAV) communication has drawn rising interest recently with the distinctive gains brought by its inherent mobility. In this paper, we investigate the throughput maximization problem in UAV-enabled uplink communication, where multiple ground nodes communicate with a UAV while a group of ground jammers send jamming signals to jam the communications between UAV and the ground nodes. In contrast to the previous works that only considering UAV's transmit power allocation and two-dimension (2D) trajectory design, the ground nodes' transmit power allocation and scheduling along with the UAV's three-dimensional (3D) trajectory design are jointly optimized. The formulated throughput maximization problem is a mixed-integer non-convex programme that hard to be solved in general. Thus, we propose an iterative algorithm to make the problem trackable by applying the block coordinate descent and successive convex optimization techniques. Simulation results show that our proposed algorithm outperforms the benchmark methods that improving the throughput of the system significantly.
ER -
English
