Paper Info
Title
Placement and Resource Allocation of Wireless-Powered Multiantenna UAV for Energy-Efficient Multiuser NOMA
Abstract
This paper investigates a new downlink nonorthogonal multiple access (NOMA) system, where a multiantenna unmanned aerial vehicle (UAV) is powered by wireless power transfer (WPT) and serves as the base station for multiple pairs of ground users (GUs) running NOMA in each pair. An energy efficiency (EE) maximization problem is formulated to jointly optimize the WPT time and the placement for the UAV, and the allocation of the UAV’s transmit power between different NOMA user pairs and within each pair. To efficiently solve this nonconvex problem, we decompose the problem into three subproblems using block coordinate descent. For the subproblem of intra-pair power allocation within each NOMA user pair, we construct a supermodular game with confirmed convergence to a Nash equilibrium. Given the intra-pair power allocation, successive convex approximation is applied to convexify and solve the subproblem of WPT time allocation and inter-pair power allocation between the user pairs. Finally, we solve the subproblem of UAV placement by using the Lagrange multiplier method. Simulations show that our approach can substantially outperform its alternatives that do not use NOMA and WPT techniques or that do not optimize the UAV location.
Year
DOI
Venue
2022
10.1109/TWC.2022.3169533
IEEE Transactions on Wireless Communications
Keywords
DocType
Volume
Nonorthogonal multiple access,unmanned aerial vehicle,wireless power transfer,energy efficiency,supermodular game,Nash equilibrium
Journal
21
Issue
ISSN
Citations 
10
1536-1276
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Zhongyu Wang100.34
Tiejun Lv266997.19
Jie Zeng37926.46
Wei Ni400.34