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Table of Contents:

Research Roundtable at ISIT 2008
The Information Theory Society Student Committee will be hosting a roundtable research discussion at the 2008 Information Theory Symposium (ISIT) in Toronto. The event will be held on Monday, July 7 during lunchtime in the Ballroom East. All students and postdocs are welcome to attend. Lunch will be provided.

The discussion topics, leaders, and suggested references are listed below.

Source coding : Krish Eswaran
  1. T. Berger and J.D. Gibson. Lossy source coding. IEEE Transactions on Information Theory, vol. 44, no. 6, pp. 2693-2723, 1998.
  2. T. Berger, Rate Distortion Theory: A Mathematical Basis for Data Compression, ser. Information and System Sciences Series. Englewood Cliffs, NJ, USA: Prentice-Hall, 1971.

Feedback: Ramji Venkataramanan
  1. J Schalkwijk, T Kailath, "A coding scheme for additive noise channels with feedback I: No bandwidth constraint", IEEE Trans. IT, Apr. 1966.
    • This paper describes a coding scheme for the average-power limited AWGN with feedback. The scheme achieves capacity with doubly exponential decay of error with blocklength.
  2. J.L. Massey, "Causality, Feedback and Directed Information", Proc. ISITA 1990.
    • Also, see Massey's tutorial on this topic.
    • Introduces directed information, discusses some of its properties and shows that this is an upper bound to the feedback capacity.
  3. S. Tatikonda, S. Mitter, "The Capacity of Channels with Feedback".
    • Characterizes the capacity of general channels in terms of directed information.
  4. T. Cover, C. Leung, "An achievable rate region for the multiple-access channel with feedback", IEEE Trans. IT, May 1981.
    • A single-letter rate region for a discrete memoryless MAC with feedback. Uses superposition Block-Markov encoding to build cooperation between transmitters.

Distributed detection and estimation: Anima Anandkumar
  1. "An introduction to signal detection and estimation " by Vincent Poor.
  2. "Statistical signal processing" by Steven Kay.
  3. Viswanathan, R.; Varshney, P.K., "Distributed detection with multiple sensors I. Fundamentals," Proceedings of the IEEE, Vol.85, Iss.1, Jan 1997 Pages:54-63.
  4. J. N. Tsitsiklis, "Decentralized detection by a large number of sensors,". Math. Control Signals Syst., vol. 1, no. 2, pp. 167

Scaling laws: Awlok Josan
  1. Gupta-Kumar: First paper to consider scaling laws. Introduced the concept of distance based protocol model. Showed throughput of \Omega(1/\sqrt{n log n}) is achievable.
  2. Franceschetti, Dousse, Tse, Thiran : Used percolation models from physics to show throughput of \Omega(1/\sqrt{n}) is achievable in extended networks, under a bounded propagation model.
  3. Franceschetti, Migliore, Minroe: Currently a pre-print (partial results were presented in Allerton 2007). Shows that the physical limits of channel would not allow a throughput greater than O(1/\sqrt{n}).

Zero-error IT: Salim El Rouayheb
  1. C. Shannon, "The zero error capacity of a noisy channel", Information Theory, IEEE Transactions on, 1956.
  2. L. Lovasz, " On the shannon capacity of a graph"Information Theory, IEEETransactions on, 1979.
  3. Korner, J., Orlitsky, A., "Zero-error information theory", Information Theory, IEEE Transactions on, 1998.

Optimization: Chee Wei Tan
  1. An Introduction to Convex Optimization for Communications and Signal Processing, Luo, Z.-Q. Tom Yu, Wei. IEEE Journal on Selected Areas in Communications, (24): 8 pp. 1426- 1438, Aug. 2006.
  2. M. Chiang, S. H. Low, A. R. Calderbank and J. C. Doyle Proc. Of the IEEE, 2007.

Graphical models: Alex Dimakis
Interference and Secrecy: Xiang He
Relaying: Bobak Nazer