SS-US constructs orthonormal spatial bases and matches users independently to directions, reducing MU-MIMO user selection complexity by over 1000x while matching state-of-the-art spectral efficiency in simulations.
Scheduling algorithms for 5G networks and beyond: Classification and survey
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Low-Complexity, Space Splitting-based User Selection in MU-MIMO for Massive Connectivity and AI-Native Traffic
SS-US constructs orthonormal spatial bases and matches users independently to directions, reducing MU-MIMO user selection complexity by over 1000x while matching state-of-the-art spectral efficiency in simulations.