Uplink NOMA for Cellular-Connected UAV: Impact of UAV Trajectories and Altitude

Abstract

This paper considers an emerging cellular-connected unmanned aerial vehicle (UAV) architecture for surveillance or monitoring applications. We study a scenario of interest where a cellular-connected aerial user equipment (AUE) periodically transmits in uplink to a base station (BS) with a given data rate requirement, while moving along a given trajectory. For an efficient spectrum usage, we enable the concurrent uplink transmission of the AUE and a terrestrial user equipment (TUE) by employing power-domain aerial-terrestrial non-orthogonal multiple access (NOMA), while accounting for the AUE's known trajectory. To characterize the system performance, we develop an analytical framework to compute the rate coverage probability, i.e., the probability that the achievable data rate of both the AUE and TUE exceeds the respective target rates. We use our analytical results to numerically determine the minimum height that the AUE needs to fly, at each transmission point along the given trajectory, in order to satisfy a certain quality of service (QoS) constraint of various AUE target data rates in different built-up environments. Specifically, our results show that the minimum height of the AUE depends on its distance from the BS as the AUE moves along the given trajectory which indicates the importance of modeling AUE trajectory in cellular-connected UAV systems.