A Deep Learning-based Low-Complexity SVD Approximation for Large-Scale MIMO Systems
The cubic complexity of singular value decomposition (SVD) has become a major bottleneck for real-time processing in large-scale multiple-input multiple-output (MIMO) systems. To address this issue, in this paper, we propose a deep learning-based low-complexity SVD approximation method tailored for such systems. The pr...