Sum Rate Maximization for NOMA-Assisted UAV Systems with Individual QoS Constraints

Joint optimization of UAV position and user grouping for UAV‐assisted hybrid NOMA systems

“…Using this framework, the horizontal layout scheme of each UAV is obtained by calculating the force equilibrium point in the virtual field, and the vertical coordinates of the UAV are determined by classical PSO algorithm. Furthermore, He et al 14 investigate joint power allocation and UAV positioning optimization for a dual‐user downlink NOMA‐assisted UAV system, maximizing the sum rate under a quality of service (QoS) constraint, and considering OMA‐UAV systems with the same constraints for fair comparison. In Reference 15, an uplink network with hovering unmanned aerial vehicle (UAV) as the flight base station is studied, where multiple ground users access different resource blocks by means of power domain NOMA, and uses slope climbing algorithm and PSO algorithm to solve local corresponding problems respectively.…”

“…Additionally, research has been conducted on UAV-NOMA systems employing multiple UAVs as base stations or utilizing UAVs as relays. 2,[5][6][7][8][9][10][11][12][13][14][15] Both References 5 and 6 adopt the Nakagami-m fading model. In Reference 5, the outage probability and achievable data rate of a full duplex UAV-NOMA system with millimeter wave communication were successfully derived.…”

“…Additionally, research has been conducted on UAV‐NOMA systems employing multiple UAVs as base stations or utilizing UAVs as relays 2,5–15 . Both References 5 and 6 adopt the Nakagami‐m fading model.…”