Design and Implementation of Spatial Correlation-Based Clustering for Multiuser MISO-NOMA Systems

In this letter, we propose a novel user clustering algorithm for downlink multiuser multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) systems along with its implementation in real-time testing environment. The proposed method selects the clusters by considering users' spatial channel properties against generated orthogonal directions. This is then followed power allocation and zero-forcing precoding steps to mitigate interference between selected clusters. Performance comparisons are provided terms of both tests simulations. It demonstrated that notable improvement capacity reliability can be obtained through approach MISO-NOMA reduced complexity.