| 
                             
                              | An 
                                  Approximation Approach to Network Information 
                                  Theory By 
                                   
                                    Prof. 
                                      David Tse 
                                    Department 
                                      of Electrical Engineering and Computer Sciences, 
                                      University of California, Berkeley  
                                    
                                   
                                    
                                   
                                    
                                        |  
                             
                              | Date: 
                                  July 15, 2009 (Wednesday) |   
                              | Time: 
                                  4:00p.m. - 5:00 p.m. |   
                              | Venue: 
                                  Rm. 121, Ho Sin Hang Engineering Building, CUHK |    Abstract 
                            :   
                            Unique among many engineering fields, information 
                            theory aims for and almost demands exactly optimal 
                            solutions to infinite-dimensional design problems. 
                            Such a high standard was set by Shannon in his original 
                            analysis of point-to-point communication problems. 
                            After almost 40 years of effort, meeting such a standard 
                            has proved to be far more difficult when extending 
                            Shannon's theory to networks. In this talk, we argue 
                            that much broader progress can be made when instead 
                            one seeks approximate solutions with a guarantee on 
                            the gap to optimality. Focusing on the practically 
                            important models of linear Gaussian channels and Gaussian 
                            sources, our approach consists of three steps: 1) 
                            simplify the model; 2) analyze the simplified model; 
                            3) translate the optimal scheme and outer bounds back 
                            to the original model. We illustrate this approach 
                            on four long-standing open problems: 1) relay networks; 
                            2) interference channels; 3) distributed source coding; 
                            4) multiple description. This approach also shows 
                            a surprising connection between Gaussian problems 
                            and network coding problems on wired networks. Biography 
                            :  David 
                            Tse received the B.A.Sc. degree in systems design 
                            engineering from University of Waterloo, Canada in 
                            1989, and the M.S. and Ph.D. degrees in electrical 
                            engineering from Massachusetts Institute of Technology 
                            in 1991 and 1994 respectively. From 1994 to 1995, 
                            he was a postdoctoral member of technical staff at 
                            A.T. & T. Bell Laboratories. Since 1995, he has been 
                            at the Department of Electrical Engineering and Computer 
                            Sciences in the University of California at Berkeley, 
                            where he is currently a Professor. He received a 1967 
                            NSERC 4-year graduate fellowship from the government 
                            of Canada in 1989, a NSF CAREER award in 1998, the 
                            Best Paper Awards at the Infocom 1998 and Infocom 
                            2001 conferences, the Erlang Prize in 2000 from the 
                            INFORMS Applied Probability Society, the IEEE Communications 
                            and Information Theory Society Joint Paper Award in 
                            2001, the Information Theory Society Paper Award in 
                            2003, and the 2009 Frederick Emmons Terman Award from 
                            the American Society for Engineering Education. He 
                            has given plenary talks at international conferences 
                            such as ICASSP in 2006, MobiCom in 2007, CISS in 2008, 
                            and ISIT in 2009. He was the Technical Program co-chair 
                            of the International Symposium on Information Theory 
                            in 2004, and was an Associate Editor of the IEEE Transactions 
                            on Information Theory from 2001 to 2003. He is a coauthor, 
                            with Pramod Viswanath, of the text "Fundamentals of 
                            Wireless Communication", which has been used in over 
                            60 institutions around the world.  |