Stats, Optimization, & Machine Learning Seminar - Lijun Chen
| Event Description: Lijun Chen, Departments of Computer Science and Telecommunications, Â鶹ӰԺ The Weighted Sum Rate Maximization in MIMO Interference Networks: Minimax Lagrangian Duality and Algorithm

 We take a new approach to the weighted sum-rate maximization in multiple-input multiple-output (MIMO) interference networks, by formulating an equivalent max-min problem. This reformulation has significant implications: the Lagrangian duality of the equivalent max-min problem provides an elegant way to establish the sum-rate duality between an interference network and its reciprocal, and more importantly, suggests a novel iterative minimax algorithm with monotonic convergence for the weighted sum-rate maximization. The design and the convergence proof of the algorithm use only general convex analysis. They apply and extend to other max-min problems with similar structure, and thus provide a general class of algorithms for such optimization problems. Lijun Chen is an Assistant Professor of Computer Science and Telecommunications at the University of Colorado at Â鶹ӰԺ. He received his Ph.D. in Control and Dynamical Systems from the California Institute of Technology in 2007, and was a Research Scientist in Computing + Mathematical Sciences at the same institute before joining the University of Colorado. His current research interests are in complex networked systems, distributed optimization and control, convex relaxation and parsimonious solutions, and game theory and its engineering applications. Seminar meets in DUAN G2B21. |
| Location Information: ÌýÌý() 2000 COLORADO AVÌý Â鶹ӰԺ, COÌý |
| Contact Information: Name: Ian Cunningham Phone: 303-492-4668 ·¡³¾²¹¾±±ô:Ìýamassist@colorado.edu |