UAV COMMUNICATIONS BASED ON NON-ORTHOGONAL MULTIPLE ACCESS

被引：197

作者：

Liu, Yuanwei ^{[1
]}

Qin, Zhijin ^{[1
]}

Cai, Yunlong ^{[5
]}

Gao, Yue ^{[2
,3
]}

Li, Geoffrey Ye ^{[6
]}

Nallanathan, Arumugam ^{[4
]}

机构：

[1] Queen Mary Univ London, London, England

[2] Queen Mary Univ London, Antennas & Signal Proc, London, England

[3] Queen Mary Univ London, Whitespace Machine Commun Lab, London, England

[4] Queen Mary Univ London, Wireless Commun, London, England

[5] Zhejiang Univ, Dept ISEE, Hangzhou, Zhejiang, Peoples R China

[6] Georgia Inst Technol, Atlanta, GA 30332 USA

来源：

IEEE WIRELESS COMMUNICATIONS | 2019年 / 26卷 / 01期

关键词：

D O I：

10.1109/MWC.2018.1800196

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This article proposes a novel framework for UAV networks with massive access capability supported by NOMA. In order to better understand NOMA-enabled UAV networks, three case studies are carried out. We first provide performance evaluation of NOMA-enabled UAV networks by adopting stochastic geometry to model the positions of UAVs and ground users. Then we investigate the joint trajectory design and power allocation for static NOMA users based on a simplified 2D model of UAV flying around at fixed height. As a further advance, we demonstrate the UAV placement issue with the aid of machine learning techniques when the ground users are roaming and the UAVs are capable of adjusting their positions in three dimensions accordingly. With these case studies, we can comprehensively understand the UAV systems from fundamental theory to practical implementation.

引用

页码：52 / 57

页数：6

共 15 条

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