Fast-Convergence Singular Value Decomposition for Tracking Time-Varying Channels in Massive Mimo Systems
ICASSP, pp. 1085-1089, 2018.
A fast-convergence singular value decomposition (SVD) algorithm is developed for tracking time-varying channels in massive MIMO precoding/beamforming systems. Since only strong eigen-modes are selected for data transmission in these systems, our SVD algorithm exploits the properties of partial decomposition and temporal correlation. Besid...More
Full Text (Upload PDF)
PPT (Upload PPT)