ICTI News
Miguel Rodrigues, Faculty of Sciences at the University of Porto, to give talk on “Optimum Power Allocation for MIMO Systems with Arbitrary Inputs”
|
 |
Professor Miguel Raul Dias Rodrigues will be visiting Carnegie Mellon’s Pittsburgh campus on March 24 and 25. One of the highlights of Rodrigues’ visit is a talk he will be presenting titled, “Optimum Power Allocation for MIMO Systems with Arbitrary Inputs: An Information/Estimation Theoretic Approach.” The talk will be on March 24, 2008, from 4:30 – 5:30, Porter Hall room B34 on the Carnegie Mellon campus. |
Talk abstract:
A large body of optimization problems abound in the telecommunications field, particularly enticing ones relating to resource optimization in communication systems. In this talk, we will consider power allocation optimization problems in multiple-input multiple-output (MIMO) Gaussian channels with arbitrary discrete inputs, that represent a large number of relevant communications scenarios such as multiple antenna systems, code division multiple access (CDMA) systems or digital subscriber line (DSL) systems. We capitalize on the recently discovered relationship between mutual information and minimum mean-squared error (MMSE) to determine the power allocation strategy that maximizes the mutual information between the system input and output. We also put forth a novel mercury-waterfilling interpretation of the optimal power allocation procedure that generalizes the conventional waterfilling interpretation applicable to parallel independent Gaussian channels with Gaussian inputs as well as the conventional mercury-waterfilling interpretation applicable to parallel independent Gaussian channels with arbitrary inputs. Subsequently, we exploit the mutual information-MMSE relationship to specialize the optimal power allocation strategy to the asymptotic regimes of low- and high-snr. Of particular relevance, we demonstrate that in the high-power regime the power allocation strategy that maximizes mutual information also maximizes the minimum distance of the output lattice, hence minimizes the error probability. Finally, we also investigate the form of the optimal precoding policy for MIMO channels with arbitrary discrete inputs. This represents joint work with Fernando Perez-Cruz and Sergio Verdú from Princeton University, U.S.
Biography:
Miguel Rodrigues received the Licenciatura degree in Electrical Engineering from the Faculty of Engineering of the University of Porto, Portugal in 1998 and the Ph.D. degree in Electronic and Electrical Engineering from University College London, U.K. in 2002. From January 2003 to September 2006, he has held postdoctoral research appointments at Cambridge University, U.K. and University College London, U.K. From September 2006 to March 2007, he was a Visiting Researcher at Princeton University, U.S.A. He joined the faculty of the Department of Computer Science, Faculty of Sciences of the University of Porto as an Assistant Professor in March 2007. He is also a Visiting Senior Researcher at University College London, U.K. His research interests include information theory, communications theory and signal processing with applications to wireless systems and networks.