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Information Theory Group

Shannon

 

 

April 2013 Meeting:

 

 

Date: Wednesday, April 24, 2013.

 

Venue: Room 202 in Packard Bldg, Stanford University

 

Time: Food will be available at 5:30 PM in front of the room 202.

Presentation will start at 6:00 PM.

 

Presenter: Yair Noam, Ph.D..

 

Title: Blind Null-Space Learning for MIMO Underlay Cognitive Radio with Primary User Interference Adaptation

 

Abstract: This talk presets a blind technique that enables a MIMO cognitive radio Secondary User (SU) to transmit in the same band simultaneously with a Primary User (PU) by utilizing separate spatial dimensions than the PU. Specifically, the SU transmits in the null space of the interference channel to the PU. The SU learns this null space without burdening the PU with any knowledge or explicit cooperation with the SU.
  The only condition required is that during the learning period, the SU is allowed to inflict ”non-harmful” interference to the PU. The SU measures a one bit that indicates if the interference has increased or decreased with respect to the previous time interval. Specifically, during the learning interval, the SU learns the null space by iteratively modifying the spatial orientation of its transmitted signal and measures the effect of this modification on the PU SINR.  We present a convergence analysis and provide simulation results demonstrating that the algorithm converges rapidly and is robust to quantization noise and other sources of interference.

Bio: YAIR NOAM received the B.Sc. (cum laude) and M.Sc. (summa cum laude) degrees in electrical and computer engineering in 2003 and 2006, respectively, from the Ben-Gurion University of the Negev, Beer-Sheva, Israel.  He received his Ph.D. degree in 2011 in electrical engineering from the Tel-Aviv University, Tel-Aviv, Israel. He is currently a postdoctoral fellow at the wireless system lab (WSL), Electrical Engineering Department, Stanford University, Stanford, CA, USA.  His research interests include estimation and communication theory, interference mitigation in wireless communications networks, and Cognitive Radio.