Zeitschriftenartikel:
S. Schwarz, M. Rupp:
"Predictive Quantization on the Stiefel Manifold";
IEEE Signal Processing Letters,
22
(2015),
2;
S. 234
- 238.
Kurzfassung englisch:
In this letter, we consider time-varying complex-valued $n \times m$ matrices ${\bf H}[k]$ ($m \leq n$) and proposea predictive quantizer for the eigenvectors of the Gramian ${\bf H}[k]{\bf H}{[k]^{\rm H}}$, whichoperates on the associated compact Stiefel manifold. The proposed quantizerexploits the temporal correlation of the source signal to provide high-fidelityrepresentations with significantly reduced quantization codebook size comparedto memoryless schemes. We apply the quantizer to channel state informationquantization for limited feedback based multi-user MIMO, employing regularizedblock-diagonalization precoding. We demonstrate significant rate gains comparedto block-diagonalization precoding using Grassmannian predictive feedback.
Schlagworte:
Adaptive quantization, Grassmann manifold, limited feedback, multi-user MIMO, Stiefel manifold
"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/LSP.2014.2354258
Zugeordnete Projekte:
Projektleitung Markus Rupp:
Mobile Access Research 2015
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.