Towards 6G MIMO Systems, with Massively-Parallel Non-Linear Processing

Next-generation 6G networks are expected to feature an extremely high density of network and user devices. MU-MIMO non-linear processing can provide substantially improved performance over linear processing in dense conditions, but suffers from a high complexity and processing latency. The use of the massively parallel non-linear (MPNL) processing framework can overcome such limitations. This work discusses three potential 6G transmission scenarios and evaluates their detection and precoding performance using link-level simulations and a system-level, over-the-air, 3GPP standards–based testbed. The results validate that MPNL processing has the potential to transform the way 6G MU-MIMO systems are designed.