Trust, Secrecy, and Coordination in Multiuser MIMO Networks

Monday, May 10, 2010 - 5:00 p.m. to Tuesday, May 11, 2010 - 5:55 p.m.
Engineering Gateway 3161
CPCC Seminar

Featuring Amitav Mukherjee

Ph.D. Candidate, Electrical Engineering and Computer Science

The Henry Samueli School of Engineering, UC Irvine

Free and open to the public



Abstract:

Accurate channel state information (CSI) at the transmitter is critical for maximizing spectral efficiency on the downlink of multi-antenna networks. In the first part of this talk, we analyze a novel form of physical layer attacks on such closed-loop wireless networks. Specifically, we consider the impact of deliberately inaccurate feedback by malicious users in a multiuser multicast system. Numerical results demonstrate the significant degradation in performance of closed-loop transmission schemes due to intentional feedback of false CSI by adversarial users.  Next, we investigate the vulnerability of analog network coding (ANC) to physical layer attacks from adversarial users, when all nodes are equipped with multiple antennas. Specifically, we examine the MIMO two way relay channel (TWRC) with two users trying to communicate with each other via a relay node in the presence of a passive eavesdropper. We propose a new performance metric, namely the secrecy sum rate of the MIMO TWRC, to quantify performance. We then consider secure transmission strategies for the scenarios of no eavesdropper channel state information at the transmitters (ECSIT) and complete ECSIT, respectively.  Finally, we look at the benefit of distributed linear transmission strategies for the multiple-input multiple-output (MIMO) interference channel with multiple concurrent links. We introduce the notion of self-restraining beamforming (SR-BF), where each transmitter minimizes the interference it causes to other users while satisfying its own signal-to-interference- plus-noise ratio requirement. The computation of the optimal transmit beamformers is shown to decouple into a generalized eigenvector roblem. In addition, we analyze the optimality and uniqueness of the proposed distributed beamforming solution.



About the Speaker:

Amitav Mukherjee received a B.S. degree in electrical engineering from the University of Kansas, in 2005, and an M.S. degree in electrical engineering from Wichita State University  in 2007. He is currently pursuing his Ph.D. degree the the Department of Electrical Engineering and Computer Science in The Henry Samueli School of Engineering at the University of California, Irvine.  During the summer of 2010, he will be a research intern with Qualcomm Inc. His research interests lie in multiple-user wireless networks and applied signal processing. Mukherjee is a student member of SIAM, and the IEEE Communications and Signal Processing Societies.