Current Research Focus
- Full-duplex Wireless Communications: Prototypes, Protocols and Theory
In 2010, we re-purposed off-the-shelf MIMO radios used in WARP platform to develop a single-channel full-duplex wireless communication system. Combining a mix of experiment-driven data modeling and information-theoretic analysis, we have shown that full-duplex is a definite reality for short to medium range communications. See
- Infrastructure Antenna Designs for Improved Passive Suppression in Full-duplex, submitted to IEEE Wireless Comm, Jan 2013. Also on arxiv
- Rate Gain Region and Design Tradeoffs for Full-Duplex Wireless Communications, submitted to IEEE Wireless Comm, November 2012.
- Phase Noise Explains Experimental Performance, submitted to IEEE-VT, November 2012.
- Full-duplex WiFi Design (MIMO + Full-duplex MAC = Full-duplex gains at WiFi SNRs), submitted to IEEE-VT, October 2012.
- Melissa Duarte, PhD thesis, Full-duplex Wireless: Design, Implementation and Characterization, May 2012 (MIMO designs, extensive statistical characterization, comparison with MIMO HD).
- Asynchronous Full-duplex Wireless, Proc. COMSNETS, 2012.
- Experiment-driven Characterization of Full-duplex Wireless Systems, submitted to IEEE Transactions on Wireless Communications, June 2011. (Alternate link)
- Exploiting Directional Diversity in Full-duplex Communications, to be presented at Asilomar, May 2011.
- Pushing the Limits of Full-duplex: Design and Real-time Implementation, Rice tech report, February 2011. (Alternate link)
- Full-duplex Wireless Using Off-the-shelf MIMO Radios (Asilomar 2010, Allerton 2010)
- "Distributed" Network Information Theory: Local View Capacity
Mismatched and incomplete network state information, aka local view, is a reality in all wireless networks. Yet, there have been no effort to develop information theoretic capacity of networks with a local view. Started in 2009, see some of the key publications. Read a short overview of the main concepts here . Also see the collaborative research project page.
- On Capacity Regions of Interference Channels with Mismatched Local Views, submitted to IEEE Transactions on Information Theory, Oct 2011.
- Wireless Network Coding with Local Network Views: Coded Layer Scheduling, submitted to IEEE Transactions on Information Theory, June, 2011.
- Effective Relaying in Interference Channels with Channel Output Feedback, submitted to IEEE Transactions on Information Theory, 2011.
- Paranoid Secondary: Practical cognitive interference channel , to appear in IEEE TWC, 2012.
- Optimal resource allocation with distributed decisions, appeared in IEEE Transactions on Information Theory.
- Sum-capacity of Interference Channels with a Local View: Impact of Distributed Decisions, accepted for publication IEEE IT, June 2011.
- Distributed Cooperative Communications: Framework and Real-time Implementations
We are developing a systematic framework to construct implementable distributed cooperative communication protocols, which balance network knowledge, spatial reuse and overall network capacity.
- Directional Communication on Mobile Devices: Feasibility and Data-driven Analysis
Much like full-duplex was considered largely impossible, directional communication on mobile devices has also been considered impossible before due to their small form-factor to fit traditional directional transmissions.
- Scalable Health
Scalable health is a partnership between Rice, Texas Medical Center and University of Houston. See my recent talk on this new initiative.
Recent Collaborators
- Dr. Robert Satcher, M. D. Anderson
- Dr. Al Gest, Pediatrics, Baylor College of Medicine
- Dr. Nidal Moukaddam, Psychiatry, Baylor College of Medicine
- Dr. Nicholas Hanania, Pulmonary Medicine, Baylor College of Medicine
- Dr. Michael Twa while at University of Houston Optometry, now at UAB School at Optometry
- Robert Calderbank, Duke University.
- David Kotz, Dartmouth College
- Hari Sundaram, Arizona State University
- Cliff Dacso, Baylor College of Medicine and University of Houston.
- Salman Avestimehr, Cornell University
- Vaneet Aggarwal, AT&T Research Labs.
- Ness Shroff , Ohio State
- Mung Chiang, Princeton
- Eugene Liu, U. Colorado, Boulder
- Chris Dick, Xilinx Incorporated
- Suhas Diggavi, UCLA
- Elza Erkip, Polytechnic
- Melda Yuksel, TOBB University of Economics and Technology
- Srikrishna Bhashyam , Indian Institute of Technology, Madras
- Raghu Rao, Xilinx Incorporated
- Urbashi Mitra, USC
Collaborators at Rice
