On the Role of Interactionin Network Information Theory

[1]  Ehsan Ardestanizadeh,et al.  Feedback communication systems : fundamental limits and control-theoretic approach , 2010 .

[2]  Stanley A. Butman,et al.  A general formulation of linear feedback communication systems with solutions , 1969, IEEE Trans. Inf. Theory.

[3]  Lawrence H. Ozarow,et al.  An achievable region and outer bound for the Gaussian broadcast channel with feedback , 1984, IEEE Trans. Inf. Theory.

[4]  J. Massey.  CAUSALITY, FEEDBACK AND DIRECTED INFORMATION , 1990 .

[5]  Abbas El Gamal,et al.  Capacity theorems for the relay channel , 1979, IEEE Trans. Inf. Theory.

[6]  Gerhard Kramer.  Capacity results for the discrete memoryless network , 2003, IEEE Trans. Inf. Theory.

[7]  Gunter Dueck.  The Capacity Region of the Two-Way Channel Can Exceed the Inner Bound , 1979, Inf. Control..

[8]  Brendan J. Frey,et al.  Interactive Decoding of a Broadcast Message , 2003 .

[9]  Jack K. Wolf,et al.  The capacity region of a multiple-access discrete memoryless channel can increase with feedback (Corresp.) , 1975, IEEE Trans. Inf. Theory.

[10]  Frans M. J. Willems,et al.  The discrete memoryless multiple access channel with partially cooperating encoders , 1983, IEEE Trans. Inf. Theory.

[11]  Alon Orlitsky,et al.  Coding for computing , 1995, Proceedings of IEEE 36th Annual Foundations of Computer Science.

[12]  Thomas M. Cover,et al.  Network Information Theory , 2001 .

[13]  J. Pieter M. Schalkwijk,et al.  A coding scheme for additive noise channels with feedback-II: Band-limited signals , 1966, IEEE Trans. Inf. Theory.

[14]  Thomas Kailath,et al.  A coding scheme for additive noise channels with feedback-I: No bandwidth constraint , 1966, IEEE Trans. Inf. Theory.

[16]  Frans M. J. Willems.  The feedback capacity region of a class of discrete memoryless multiple access channels , 1982, IEEE Trans. Inf. Theory.

[17]  J. Pieter M. Schalkwijk.  On an extension of an achievable rate region for the binary multiplying channel , 1983, IEEE Trans. Inf. Theory.

[18]  Amiram H. Kaspi,et al.  Two-way source coding with a fidelity criterion , 1985, IEEE Trans. Inf. Theory.

[19]  Prakash Ishwar,et al.  Two-terminal distributed source coding with alternating messages for function computation , 2008, 2008 IEEE International Symposium on Information Theory.

[20]  Michael Gastpar,et al.  Cooperative strategies and capacity theorems for relay networks , 2005, IEEE Transactions on Information Theory.

[21]  Cyril Leung,et al.  An achievable rate region for the multiple-access channel with feedback , 1981, IEEE Trans. Inf. Theory.

[22]  Suhas N. Diggavi,et al.  Wireless Network Information Flow: A Deterministic Approach , 2009, IEEE Transactions on Information Theory.

[23]  Lele Wang,et al.  Information flooding , 2011, 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[24]  Imre Csiszár,et al.  Secrecy capacities for multiple terminals , 2004, IEEE Transactions on Information Theory.

[25]  Massimo Franceschetti,et al.  LQG Control Approach to Gaussian Broadcast Channels With Feedback , 2010, IEEE Transactions on Information Theory.

[26]  Alon Orlitsky,et al.  Coding for computing , 2001, IEEE Trans. Inf. Theory.

[27]  Michael Horstein,et al.  Sequential transmission using noiseless feedback , 1963, IEEE Trans. Inf. Theory.

[28]  Rudolf Ahlswede,et al.  Network information flow , 2000, IEEE Trans. Inf. Theory.

[29]  Young-Han Kim,et al.  Feedback Capacity of Stationary Gaussian Channels , 2006, 2006 IEEE International Symposium on Information Theory.

[30]  Gunter Dueck,et al.  Partial Feedback for Two-Way and Broadcast Channels , 1980, Inf. Control..

[31]  Haim H. Permuter,et al.  Capacity of the Trapdoor Channel With Feedback , 2006, IEEE Transactions on Information Theory.

[32]  Sae-Young Chung,et al.  Noisy Network Coding , 2010, IEEE Transactions on Information Theory.

[33]  H. Marko,et al.  The Bidirectional Communication Theory - A Generalization of Information Theory , 1973, IEEE Transactions on Communications.

[34]  Prakash Ishwar,et al.  Infinite-message distributed source coding for two-terminal interactive computing , 2009, 2009 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[35]  Massimo Franceschetti,et al.  LQG Control Approach to Gaussian Broadcast Channels With Feedback , 2012, IEEE Trans. Inf. Theory.

[36]  Claude E. Shannon,et al.  The zero error capacity of a noisy channel , 1956, IRE Trans. Inf. Theory.

[37]  Meir Feder,et al.  Optimal Feedback Communication Via Posterior Matching , 2009, IEEE Transactions on Information Theory.

[38]  Federico Kuhlmann,et al.  Achievability proof of some multiuser channel coding theorems using backward decoding , 1989, IEEE Trans. Inf. Theory.

[39]  Michele A. Wigger,et al.  An achievable region for the discrete memoryless broadcast channel with feedback , 2010, 2010 IEEE International Symposium on Information Theory.

[40]  Claude E. Shannon,et al.  Two-way Communication Channels , 1961 .

[41]  Frans M. J. Willems,et al.  The discrete memoryless multiple-access channel with cribbing encoders , 1985, IEEE Trans. Inf. Theory.

[42]  J. Pieter M. Schalkwijk,et al.  The binary multiplying channel--A coding scheme that operates beyond Shannon's inner bound region , 1982, IEEE Trans. Inf. Theory.

[43]  Andries P. Hekstra,et al.  Dependence balance bounds for single-output two-way channels , 1989, IEEE Trans. Inf. Theory.

[44]  Nicola Elia,et al.  When bode meets shannon: control-oriented feedback communication schemes , 2004, IEEE Transactions on Automatic Control.

[45]  J.M. Ooi,et al.  Fast Iterative Coding Techniques for Feedback Channels , 1998, IEEE Trans. Inf. Theory.

[46]  Lawrence H. Ozarow,et al.  The capacity of the white Gaussian multiple access channel with feedback , 1984, IEEE Trans. Inf. Theory.

[47]  Abbas El Gamal,et al.  The feedback capacity of degraded broadcast channels (Corresp.) , 1978, IEEE Trans. Inf. Theory.