Modified singular-value decomposition signal-to-leakage ratio precoding for multiple-input and multiple-output systems
A network node may decompose a first channel of a first user equipment (UE) to calculate a first set of singular-value decomposition (SVD) values and may decompose a second channel of a second UE to calculate a second set of SVD values. The first SVD values may include a first matrix having left eig...
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| creator | Bachu, Raja Sekhar Blessent, Luca |
| description | A network node may decompose a first channel of a first user equipment (UE) to calculate a first set of singular-value decomposition (SVD) values and may decompose a second channel of a second UE to calculate a second set of SVD values. The first SVD values may include a first matrix having left eigenvectors, a second matrix having diagonal eigenvalues, and a third matrix having a first Hermitian of right eigenvectors. The second SVD values may include a fourth matrix having left eigenvectors, a fifth matrix having diagonal eigenvalues, and a sixth matrix having a second Hermitian of right eigenvectors. The network node may communicate using a beamforming weight for a signal-to-leakage ratio (SLR) precoder matrix associated with the first UE and the second UE based on the third matrix and the sixth matrix and not based on the second matrix and the fifth matrix. |
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| subjects | ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY TRANSMISSION TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION |
| title | Modified singular-value decomposition signal-to-leakage ratio precoding for multiple-input and multiple-output systems |
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