In this paper, the authors investigate maximum mutual information design for multi-hop Amplify-and-Forward (AF) Multiple-Input Multiple-Output (MIMO) relaying systems with imperfect channel state information, i.e., Gaussian distributed channel estimation errors. The robust design is formulated as a matrix-variate optimization problem. Exploiting the elegant properties of majorization theory and matrix-variate functions, ...Download Now
Warehousing data is not a trivial task, particularly when dealing with huge amounts of distributed and heterogeneous data. Moreover, traditional decision support systems do not feature intelligent capabilities for integrating such complex data. Therefore, the authors propose an approach for intelligent decision support based on active XML warehousing. They exploit ...Download Now
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