The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Komunikasi kenderaan udara tanpa pemandu (UAV) telah menarik minat yang semakin meningkat baru-baru ini dengan keuntungan tersendiri yang dibawa oleh mobiliti yang wujud. Dalam makalah ini, kami menyiasat masalah pemaksimuman daya tampung dalam komunikasi pautan atas yang didayakan UAV, di mana berbilang nod tanah berkomunikasi dengan UAV manakala sekumpulan jammer tanah menghantar isyarat jamming untuk menyekat komunikasi antara UAV dan nod tanah. Berbeza dengan kerja-kerja terdahulu yang hanya mempertimbangkan peruntukan kuasa penghantaran UAV dan reka bentuk trajektori dua dimensi (2D), peruntukan kuasa penghantaran dan penjadualan nod tanah bersama-sama dengan reka bentuk trajektori tiga dimensi (3D) UAV dioptimumkan secara bersama. Masalah pemaksimaan throughput yang dirumuskan ialah program bukan cembung integer bercampur yang sukar untuk diselesaikan secara umum. Oleh itu, kami mencadangkan algoritma lelaran untuk menjadikan masalah itu boleh dikesan dengan menggunakan teknik pengoptimuman koordinat blok dan pengoptimuman cembung berturut-turut. Keputusan simulasi menunjukkan bahawa algoritma cadangan kami mengatasi kaedah penanda aras yang meningkatkan daya pengeluaran sistem dengan ketara.
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
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Salinan
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
Salinan
@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},}
Salinan
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 -