
Postdoctoral Scholar
Wireless Systems Lab, Stanford University
368 Packard Building
350 Serra mall,
Stanford University
Stanford, CA 94305
email: rdabora (at) stanford (dot) edu
Education
BSc, Tel Aviv University (Israel),
1994.
MSc, Tel Aviv University (Israel), 2000.
PhD, Cornell University (USA), 2007
Biography
Ron Dabora received his B.Sc. and
M.Sc. degrees in 1994 and 2000, respectively, from Tel-Aviv University and his
Ph.D. degree in 2007 from Cornell University; all in Electrical Engineering.
From 1994 to 2000 he worked as an R&D engineer at the Ministry of Defense, and from 2000 to 2003, he was with the Algorithms
Group at Millimetrix Broadband Networks, Israel. Since 2007 he is a postdoctoral
researcher at the Department of Electrical Engineering at Stanford University.
Research interests
Cooperation and relaying in wireless networks
Channels with memory
Feedback and channel coding
Signal processing for communications
Inherent limitation in signal processing
Algorithm design for wireless communications
My work in Stanford is part of the IT MANET - the FLoWS project.
Publications (please read the IEEE copyright notice before downloading)
Journal Submissions Under Review
[1] R. Dabora and S. Servetto, “On the Role of Estimate-and-Forward with Time-Sharing in Cooperative
Communication”, submitted to the IEEE Transactions on Information Theory, October 2006, revised October 2007.
[2] R. Dabora and A. Goldsmith, “The Capacity Region of the Degraded Finite-State Broadcast
Channel”, submitted to the IEEE Transactions on Information Theory, 2008.
Journal Papers
[3] R. Dabora, J. Goldberg, and H. Messer, “Inherent Limitations in Data Aided Time Synchronization of Continuous Phase Modulation Signals over Time-Selective Fading
Channels”, IEEE Transactions on Signal Processing, June 2002.
[4] R. Dabora, J. Goldberg, and H. Messer, “Training-Based Time-Delay Estimation for CPM Signals over Time-Selective Fading Channels”, IEEE Transactions on Communications, July 2004.
[5] R. Dabora and S. Servetto, “Broadcast Channels with Cooperating
Decoders”, IEEE Transactions on Information Theory, December 2006.
Papers in Refereed Conferences
[1] R. Dabora, J. Goldberg, and H. Messer, “Cramer–Rao Bound Analysis for Data Aided Time Synchronization of MSK over a Fast Fading
Channel”, Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), June 2000, Istanbul, Turkey.
[2] R. Dabora and S. Servetto, “Broadcast Channels with Cooperating Receivers: A Downlink for the Sensor Reachback
Problem”, Proceedings of the International Symposium on Information Theory (ISIT), June 2004, Chicago, IL.
[3] R. Dabora and S. Servetto, “On the Rates for the General Broadcast Channel with Partially Cooperating
Receivers”, Proceedings of the International Symposium on Information Theory (ISIT), September 2005, Adelaide, Australia.
[4] R. Dabora and S. Servetto, “A Multi-Step Conference for Cooperative
Broadcast”, Proceedings of the International Symposium on Information Theory (ISIT), July 2006, Seattle, WA.
[5] R. Dabora and S. Servetto, “The Multiple-Relay Channel with Estimate-and-Forward
Relaying”, Proceedings of the International Symposium on Information Theory (ISIT), June 2007, Nice, France.
[6] R. Dabora and S. Servetto, “Estimate-and-Forward Relaying for the Gaussian Relay Channel with Coded
Modulation”, Proceedings of the International Symposium on Information Theory (ISIT), June 2007, Nice, France.
[7] R. Dabora, I. Maric and A. Goldsmith, “Relay Strategies for Interference
Forwarding”, Proceedings of the Information Theory Workshop (ITW), May
2008, Porto, Portugal.
[8] R. Dabora and A. Goldsmith, “The Capacity Region of the Degraded Finite-State Broadcast
Channel”, Proceedings of the Information Theory Workshop (ITW), May 2008,
Porto, Portugal.
[9] I. Maric, R. Dabora and A. Goldsmith, “On the Capacity of the Interference Channel with a
Relay”, accepted to the International Symposium on Information Theory (ISIT) 2008.
[10] R. Dabora and A. Goldsmith, “Capacity Theorems for the Finite-State Broadcast Channel with
Feedback”, accepted to the International Symposium on Information Theory
(ISIT) 2008.
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