ECE ILLINOIS Facebook ECE ILLINOIS on Twitter ECE ILLINOIS Alumni and Friends on LinkedIn ECE ILLINOIS Instagram

August 2014

  S M T W T F S
> 27 28 29 30 31 1 2
> 3 4 5 6 7 8 9
> 10 11 12 13 14 15 16
> 17 18 19 20 21 22 23
> 24 25 26 27 28 29 30
> 31 1 2 3 4 5 6

Advanced Search




Add this event to my calendar

****TIME CHANGE **** Comm Seminar - Title "Compute-and-Forward: An Explicit Link between Finite Field and Gaussian Interference Networks"

Speaker Bobak Nazer, Boston University
Date: 3/31/2014
Time: 3:00 pm
Location: 141 Coordinated Science Lab
Event Contact: Denise Lewis
217-300-0222
edlewis@illinois.edu
Sponsor: Coordinated Science Lab
  ***Abstract*** This talk overviews the compute-and-forward strategy, which exploits the interference property of the wireless channel to achieve higher end-to-end rates in a network. The key idea is that users should decode linear combinations of the transmitted messages over an appropriate finite field. This is a departure from classical information-theoretic frameworks which tend to either to decode interfering messages in their entirety or treat them as noise. Structured codes (such linear or lattice codes) ensure that these linear combinations can be decoded reliably, often at far higher rates than the messages individually. Historically, codes with linear/lattice structure have been studied as a stepping stone to practical constructions. Our recent work has employed compute-and-forward as a building block for coding theorems that lead to new achievability results in network information theory. Using examples drawn from Gaussian MIMO, multiple-access, and interference channels, we will highlight recent advances and open questions. *****Bio***** Bobak Nazer is an Assistant Professor in the Department of Electrical and Computer Engineering at Boston University. He received the Ph.D degree in 2009 and the M.S. degree in 2005 from the University of California, Berkeley as well as the B.S. degree in 2003 from Rice University, all in electrical engineering. He is the recipient of the IEEE Communications Society and Information Theory Society Joint Paper Award in 2013, the NSF CAREER award in 2013, and the Eli Jury award in 2009 from the Berkeley EECS Department.