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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Main Authors: Jinjing Sun, Zulin Wang, Qin Huang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8584441/
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spelling 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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