Optimal UAV's Deployment and Transmit Power Design for Two Users Uplink NOMA Systems

Abstract

In order to fully utilize the spectrum resources, this work considers a unmanned aerial vehicle (UAV) uplink communication system based on non-orthogonal multiple access technology (NOMA), in which the UAV receives information from the ground users with a certain flying altitude. As an initial study, we consider a simplified setup with two ground users to draw some insightful results. Explicitly, we first formulate an optimization problem that maximizes the sum throughput subject to each user's transmit power constraint and their corresponding minimum transmission rate requirement. Then, both the optimal transmit power and UAV's deployment location are derived with the aid of employing the Karush-Kuhn-Tucher (KKT) conditions. Simulation results show that the proposed UAV's deployment scheme with the users' power allocation can achieve a higher sum throughput compared with two existing benchmark schemes.

PSO‐Based UAV Deployment and Dynamic Power Allocation for UAV‐Enabled Uplink NOMA Network

“…To make the most effective use of the available spectrum resources, enhance the quality of communication of UAVbased networks, and reduce the overall latency, NOMA has been recently grafted into UAV networks under the name of UAV-enabled NOMA networks [21]. In [22], the authors investigated the problem of jointly optimizing the UAV location and power allocation to maximize the sum-rate of the ground users for a DL-NOMA network, i.e., the data is transmitted from an aerial BS to the ground users.…”

Research on UAV-NOMA communication system based on improved grey wolf optimization algorithm

“…The author considers user quality of service (QoS) requirements, various flight constraints, limited airborne energy, and user mobility, formulating an energy efficiency maximization problem to optimize the drone's trajectory. In [8], the author explores an unmanned aerial vehicle (UAV) uplink communication system based on non-orthogonal multiple access (NOMA) technology to maximize system throughput while adhering to user transmission power constraints and minimum transmission rate. However, the effect of spatial channel information (SCI) decoding on the user side is not addressed due to a lack of consideration for the channel gain difference between users when clustering.…”