UAV Communications Based on Non-Orthogonal Multiple Access
September 15, 2018 Β· Declared Dead Β· π IEEE wireless communications
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Authors
Yuanwei Liu, Zhijin Qin, Yunlong Cai, Yue Gao, Geoffrey Ye Li, Arumugam Nallanathan
arXiv ID
1809.05767
Category
eess.SP: Signal Processing
Cross-listed
cs.IT
Citations
214
Venue
IEEE wireless communications
Last Checked
4 months ago
Abstract
This article proposes a novel framework for unmaned aerial vehicle (UAV) networks with massive access capability supported by non-orthogonal multiple access (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 two-dimensional (2D) model that UAV is 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 (3D) accordingly. With these case studies, we can comprehensively understand the UAV systems from fundamental theory to practical implementation.
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