Cyclical NOMA Based UAV-Enabled Wireless Network
In order to achieve high spectral efficiency and low access delay, this paper introduces cyclical non-orthogonal multiple access (NOMA) into unmanned aerial vehicle (UAV)-enabled wireless network. It allows the UAV to communicate with multiple ground users in the same time–frequency resou...
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doaj-cebacad61a08467ca9aa7dec6748dc162021-03-29T22:10:43ZengIEEEIEEE Access2169-35362019-01-0174248425910.1109/ACCESS.2018.28888558584441Cyclical NOMA Based UAV-Enabled Wireless NetworkJinjing Sun0https://orcid.org/0000-0003-3343-7631Zulin Wang1Qin Huang2School of Electronic and Information Engineering, Beihang University, Beijing, ChinaSchool of Electronic and Information Engineering, Beihang University, Beijing, ChinaSchool of Electronic and Information Engineering, Beihang University, Beijing, ChinaIn order to achieve high spectral efficiency and low access delay, this paper introduces cyclical non-orthogonal multiple access (NOMA) into unmanned aerial vehicle (UAV)-enabled wireless network. It allows the UAV to communicate with multiple ground users in the same time–frequency resources, cyclically. The minimum throughput over all ground users is maximized by jointly optimizing multiuser communication scheduling with cyclical NOMA and UAV trajectory. It turns out that the maximization of minimum throughput is a mixed integer non-linear non-convex optimization problem. In this paper, this problem is decoupled into two blocks, i.e., the optimization of multiuser communication scheduling with cyclical NOMA and the optimization of UAV trajectory. Then, a joint optimization algorithm is proposed based on the block coordinate descent method. The simulation results demonstrate that the proposed joint optimization method can double the minimum throughput, compared with cyclical TDMA. In addition, it reduces users’ average access delay and UAV’s flying range under the same minimum throughput.https://ieeexplore.ieee.org/document/8584441/Cyclical NOMAminimum throughput optimizationmultiuser communication schedulingUAV-enabled wireless networkUAV trajectory |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jinjing Sun Zulin Wang Qin Huang |
spellingShingle |
Jinjing Sun Zulin Wang Qin Huang Cyclical NOMA Based UAV-Enabled Wireless Network IEEE Access Cyclical NOMA minimum throughput optimization multiuser communication scheduling UAV-enabled wireless network UAV trajectory |
author_facet |
Jinjing Sun Zulin Wang Qin Huang |
author_sort |
Jinjing Sun |
title |
Cyclical NOMA Based UAV-Enabled Wireless Network |
title_short |
Cyclical NOMA Based UAV-Enabled Wireless Network |
title_full |
Cyclical NOMA Based UAV-Enabled Wireless Network |
title_fullStr |
Cyclical NOMA Based UAV-Enabled Wireless Network |
title_full_unstemmed |
Cyclical NOMA Based UAV-Enabled Wireless Network |
title_sort |
cyclical noma based uav-enabled wireless network |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2019-01-01 |
description |
In order to achieve high spectral efficiency and low access delay, this paper introduces cyclical non-orthogonal multiple access (NOMA) into unmanned aerial vehicle (UAV)-enabled wireless network. It allows the UAV to communicate with multiple ground users in the same time–frequency resources, cyclically. The minimum throughput over all ground users is maximized by jointly optimizing multiuser communication scheduling with cyclical NOMA and UAV trajectory. It turns out that the maximization of minimum throughput is a mixed integer non-linear non-convex optimization problem. In this paper, this problem is decoupled into two blocks, i.e., the optimization of multiuser communication scheduling with cyclical NOMA and the optimization of UAV trajectory. Then, a joint optimization algorithm is proposed based on the block coordinate descent method. The simulation results demonstrate that the proposed joint optimization method can double the minimum throughput, compared with cyclical TDMA. In addition, it reduces users’ average access delay and UAV’s flying range under the same minimum throughput. |
topic |
Cyclical NOMA minimum throughput optimization multiuser communication scheduling UAV-enabled wireless network UAV trajectory |
url |
https://ieeexplore.ieee.org/document/8584441/ |
work_keys_str_mv |
AT jinjingsun cyclicalnomabaseduavenabledwirelessnetwork AT zulinwang cyclicalnomabaseduavenabledwirelessnetwork AT qinhuang cyclicalnomabaseduavenabledwirelessnetwork |
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1724192107397120000 |