Subspace nulling on long-term statistics preconditions the LTBF covariance matrix to reduce CG iterations and improve numerical stability in massive MU-MIMO.
A scal- able generator for massive mimo baseband processing systems with beamspace channel estimation,
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Long-term beamforming projection matrices can be optimally computed via matrix inverse square root to maximize capacity bounds, yielding near-instantaneous MMSE performance with far lower overhead in rural uplink ray-tracing simulations.
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Interference Suppression for Massive MU-MIMO Long-Term Beamforming with Matrix Inversion Approximation
Subspace nulling on long-term statistics preconditions the LTBF covariance matrix to reduce CG iterations and improve numerical stability in massive MU-MIMO.
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Scalable Long-Term Beamforming for Massive Multi-User MIMO
Long-term beamforming projection matrices can be optimally computed via matrix inverse square root to maximize capacity bounds, yielding near-instantaneous MMSE performance with far lower overhead in rural uplink ray-tracing simulations.