Paper Info
Title
UAV-Enabled Communication Using NOMA.
Abstract
Unmanned aerial vehicles (UAVs) can be deployed as flying base stations (BSs) to leverage the strength of line-of-sight connections and effectively support the coverage and throughput of wireless communication. This paper considers a multiuser communication system, in which a single-antenna UAV-BS serves a large number of ground users by employing non-orthogonal multiple access (NOMA). The max-min rate optimization problem is formulated under total power, total bandwidth, UAV altitude, and antenna beamwidth constraints. The objective of max-min rate optimization is non-convex in all optimization variables, i.e., UAV altitude, transmit antenna beamwidth, power allocation, and bandwidth allocation for multiple users. A path-following algorithm is proposed to solve the formulated problem. Next, orthogonal multiple access (OMA) and dirty paper coding (DPC)-based max-min rate optimization problems are formulated and respective path-following algorithms are developed to solve them. The numerical results show that NOMA outperforms OMA and achieves rates similar to those attained by DPC. In addition, a clear rate gain is observed by jointly optimizing all the parameters rather than optimizing a subset of parameters, which confirms the desirability of their joint optimization.
Year
DOI
Venue
2018
10.1109/TCOMM.2019.2906622
IEEE Transactions on Communications
Keywords
Field
DocType
NOMA,Bandwidth,Optimization,Resource management,Antennas,Unmanned aerial vehicles,Throughput
Dirty paper coding,Base station,Mathematical optimization,Wireless,Bandwidth allocation,Real-time computing,Bandwidth (signal processing),Throughput,Beamwidth,Optimization problem,Mathematics
Journal
Volume
Issue
ISSN
abs/1806.03604
7
0090-6778
Citations 
PageRank 
References 
23
0.66
17
Authors
4
Name
Order
Citations
PageRank
Ali A. Nasir1109456.86
Hoang D. Tuan21936191.03
Trung Q. Duong32911171.22
H. V. Poor4254111951.66