Cellular Offloading of eMBB and URLLC Services in Multiple UAV-aided Communication Networks

With the emergence of wireless cellular technologies and the dense deployment of cellular infrastructure, incorporating unmanned aerial vehicles (UAVs) into the fifth-generation (5G) and beyond networks is a promising solution to support a wide range of diversified applications. The 5G wireless systems are intended to support two promising critical services: enhanced mobile broadband (eMBB) and ultra-reliable and low latency communications (URLLC). In this paper, we studied the resource allocation problem of eMBB and URLLC services with the aim of maximizing throughput under non-orthogonal multiple access (NOMA) with the aid of multiple UAVs. Initially, for the deployment of UAVs, we adopted K-means based clustering algorithm for user partitioning. Then, we proposed a simple low complex algorithm for resource allocation. The significance of the proposed methodology over baseline approaches is evaluated using numerical simulations in terms of system performance indicators.