Abstract
Joint Optimization of UAV Trajectory Statistical Precoding and User Scheduling
Highlights
Unmanned aerial vehicles (UAVs) have attracted increasing attention due to their various applications, such as aerial inspection, aerial photo, traffic control, disaster rescue, and telecommunications [1], [2]
In [26], a new framework of joint optimization of the UAV trajectory and non-orthogonal multiple access (NOMA) precoding was proposed to maximize the sum rate of users served by the UAV-based base stations (BSs) and the NOMA BS
We investigate the joint optimization of the UAV trajectory, the statistical precoding, and the user scheduling to maximize the sum rate of multi-users
Summary
Unmanned aerial vehicles (UAVs) have attracted increasing attention due to their various applications, such as aerial inspection, aerial photo, traffic control, disaster rescue, and telecommunications [1], [2]. In [26], a new framework of joint optimization of the UAV trajectory and non-orthogonal multiple access (NOMA) precoding was proposed to maximize the sum rate of users served by the UAV-based BS and the NOMA BS. Against this background and inspired by the existing research results, we investigate a UAV-based BS with mmWave communication system. Statistical CSI is utilized to maximize the sum-rate of joint optimization of the statistical precoding and the user scheduling with the given UAV trajectory.
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