Real-Time GPU-Accelerated Machine Learning Based Multiuser Detection for 5G and Beyond. (arXiv:2201.05024v1 [eess.SP])

Adaptive partial linear beamforming meets the need of 5G and future 6G
applications for high flexibility and adaptability. Choosing an appropriate
tradeoff between conflicting goals opens the recently proposed multiuser (MU)
detection method. Due to their high spatial resolution, nonlinear beamforming
filters can significantly outperform linear approaches in stationary scenarios
with massive connectivity. However, a dramatic decrease in performance can be
expected in high mobility scenarios because they are very susceptible to
changes in the wireless channel. The robustness of …

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