Cooperative UAV-Assisted Joint Scheduling of Coexisting URLLC and eMBB Services

Abstract

The coexistence of enhanced mobile broadband (eMBB) and ultra-reliable and low latency communication (URLLC) services is an inevitable trend in unmanned aerial vehicle (UAV)-assisted Internet of Things (IoT) networks. However, most existing works either consider only one type of traffic or static UAVs. In this paper, we propose a UAV collaboration scheme for coexisting URLLC and eMBB traffic to reduce the impact of URLLC puncturing on eMBB performances. Specifically, an auxiliary UAV is assigned to supplement the punctured eMBB users served by the major UAV. The optimization problem is formulated as maximizing the data rate of eMBB users through joint optimization of UAV trajectory, puncturing association, and bandwidth allocation, subject to URLLC and eMBB performance requirements. The problem is decoupled into three subproblems and solved iteratively with the aid of bivariate problem simplification and successive convex approximation technique. Simulation results demonstrate that the proposed scheme meets the expectation.