The MIMO MAC admits canonical convex formulations solved via L-BFGS on per-tone Cholesky factors, yielding four solvers that match commercial performance while running up to 100x faster.
Spectrum- efficient user grouping and resource allocation based on deep reinforce- ment learning for mmWave massive MIMO-NOMA systems
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Canonical Optimization for MIMO MAC Design
The MIMO MAC admits canonical convex formulations solved via L-BFGS on per-tone Cholesky factors, yielding four solvers that match commercial performance while running up to 100x faster.