Performance Analysis of MIMO-NOMA Iterative Receivers for Massive Connectivity

The Fifth Generation (5G) of wireless networks introduced support to Machine-Type Communications (MTC), which is the connectivity solution for Internet Things (IoT) applications. MTC split into two different categories: massive (mMTC) and critical (cMTC). Current 5G standards technologies are not capable fully satisfying requirements both mMTC cMTC use cases, thus industry academia have already started developing solutions in beyond-5G 6G networks. In some receivers might be equipped with a large number antennas owing cost, size or power limitations, active devices time slot may surpass antennas. Due limited spatial multiplexing capabilities, only multi-antenna techniques enough provide such scenarios. this paper, we propose evaluate performance iterative linear that can address issue. By combining Multiple-Input Multiple-Output (MIMO) Non-Orthogonal Multiple Access (NOMA) exploiting Successive Interference Cancellation (SIC) Parallel (PIC) decoding, proposed novel performing dynamic ordering SIC/PIC decoding multiple overlapping signals even when surpasses receive studied terms outage probability computational complexity. Simulation results show that, among all PIC-based Minimum Mean Square Error (MMSE) receiver presents best while at same reducing complex signal operations as matrix inversions.