ML-GSVD-based MIMO-NOMA Networks

Inhalt:
Future generations of wireless networks become more and more demanding due to the exponential growth of mobile traffic with billions of connected smart devices. In this paper, we focus on non-orthogonal multiple access (NOMA), which has been considered as a promising technique for 5G and beyond wireless networks.We consider a power-domain downlink MIMO-NOMA system with an arbitrary number of users and propose to design the precoding and decoding matrices based on the Multilinear Generalized Singular Value Decomposition (ML-GSVD) that we have recently proposed. Moreover, we demonstrate how the generalized singular values of the MLGSVD can be used for the power allocation. We also compare the proposed MIMO-NOMA scheme with orthogonal multiple access (OMA) techniques and provide various numerical results.