A QoS-Oriented Trajectory Optimization in Swarming Unmanned-Aerial-Vehicles Communications

被引：25

作者：

Bejaoui, Amine ^{[1
]}

Park, Ki-Hong ^{[1
]}

Alouini, Mohamed-Slim ^{[1
]}

机构：

[1] King Abdullah Univ Sci & Technol, Comp Elect Math Sci & Engn Div, Thuwal 23955, Saudi Arabia

来源：

IEEE WIRELESS COMMUNICATIONS LETTERS | 2020年 / 9卷 / 06期

关键词：

Trajectory; Unmanned aerial vehicles; Optimization; Acceleration; Approximation algorithms; Quality of service; Multi-UAV communication; air-to-ground communication; max-min fairness; optimization; UAV; DESIGN;

D O I：

10.1109/LWC.2020.2970052

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This letter aims to present a novel approach for unmanned aerial vehicles (UAV)' path planning with respect to certain quality of service requirements. More specifically, we study the max-min fairness problem in an air-to-ground communication system where multiple UAVs and multiple ground stations exist. We jointly optimize the UAVs trajectories and power allocation as well as the user scheduling. To this end, we propose an effective iterative algorithm that relies on the successive convex approximation and the block coordinate descent techniques.

引用

页码：791 / 794

页数：4

共 11 条

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Bardhan R, 2013, IEEE INTL CONF CONTR, P1200, DOI 10.1109/CCA.2013.6662915

[2]

Bejaoui A., 2019, QOS ORIENTED TRAJECT

[3]

Cekmez U, 2016, INT CONF UNMAN AIRCR, P47, DOI 10.1109/ICUAS.2016.7502621

[4] Optimization of UAV Heading for the Ground-to-Air Uplink [J].