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DCC
2007
IEEE
14 years 9 months ago
Transmission Over Slowly Fading Channels Using Unreliable Quantized Feedback
We study the problem of maximizing the expected rate over a slowly fading channel with quantized channel state information at the transmitter (CSIT). This problem has been recentl...
Siavash Ekbatani, Farzad Etemadi, Hamid Jafarkhani
ICDM
2009
IEEE
133views Data Mining» more  ICDM 2009»
14 years 4 months ago
On K-Means Cluster Preservation Using Quantization Schemes
This work examines under what conditions compression methodologies can retain the outcome of clustering operations. We focus on the popular k-Means clustering algorithm and we dem...
Deepak S. Turaga, Michail Vlachos, Olivier Versche...
CDC
2008
IEEE
123views Control Systems» more  CDC 2008»
14 years 4 months ago
On distributed averaging algorithms and quantization effects
—We consider distributed iterative algorithms for the averaging problem over time-varying topologies. Our focus is on the convergence time of such algorithms when complete (unqua...
Angelia Nedic, Alexander Olshevsky, Asuman E. Ozda...
CDC
2008
IEEE
129views Control Systems» more  CDC 2008»
14 years 4 months ago
Distributed subgradient methods and quantization effects
Abstract— We consider a convex unconstrained optimization problem that arises in a network of agents whose goal is to cooperatively optimize the sum of the individual agent objec...
Angelia Nedic, Alexander Olshevsky, Asuman E. Ozda...
VTC
2008
IEEE
124views Communications» more  VTC 2008»
14 years 4 months ago
Channel Prediction and Predictive Vector Quantization Aided Channel Impulse Response Feedback for SDMA Downlink Preprocessing
—1 Invoking SDMA in the Down-Link (DL) has the potential of increasing the achievable throughput with the aid of linear transmit preprocessing, provided that the Channel Impulse ...
Du Yang, Wei Liu, Lie-Liang Yang, Lajos Hanzo