Advances in Network Information Theory (DIMACS: Series in Discrete Mathematics and Theoretical Computer Science)

Advances in Network Information Theory (DIMACS: Series in Discrete Mathematics and Theoretical Computer Science)


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This book is a collection of articles written by leading researchers in information theory stemming from the DIMACS Workshop on Network Information held at Rutgers University (Piscataway, NJ). The articles focus on problems concerning efficient and reliable communication in multi-terminal settings. Information theory has recently attracted renewed attention because of key developments spawning challenging research problems. The material is divided into four parts: 'Information Theory for Sources', which concentrates on network source coding problems; 'Information Theory for Channels', where channels, rather than sources, are central to the problem; 'Information Theory for Sources and Channels', which addresses both source and channel coding; and 'Coding', which deals with more practical issues.Mathematicians using applications such as wireless cellular and LAN data services, ad hoc networks and sensor networks will benefit from the developments outlined in these sections. The book is suitable for graduate students and research mathematicians interested in communications and network information theory.


Part I. Information theory for sources: Source coding and parallel routing by A. Faridi, K. Sayrafian-Pour, M. Alasti, and A. Ephremides Compressing a representation of events in a concurrent system by S. A. Savari Sum rate of a class of multiterminal Gaussian source coding problems by P. Viswanath Coding theorems for reversible embedding by F. M. J. Willems and T. Kalker Part II. Information theory for channels: Unbounded loss in writing on dirty paper is possible by A. S. Cohen and R. Zamir A game-theoretic look at the Gaussian multiaccess channel by R. J. La and V. Anatharam Bounds on the sum timing capacity of single-server queues with multiple input and output terminals by X. Liu and R. Srikant Job scheduling and multiple access by S. Raj, E. Telatar, and D. Tse Fading Gaussian broadcast channels with state information at the receivers by D. Tuninetti and S. Shamai (Shitz) Wireless network information theory by L.-L. Xie and P. R. Kumar The structure of least-favorable noise in Gaussian vector broadcast channels by W. Yu Part III. Information theory for sources and channels: Coding theorems for the sensor reachback problem with partially cooperating nodes by J. Barros and S. D. Servetto Linear network codes: A unified framework for source, channel, and network coding by M. Effros, M. Medard, T. Ho, S. Ray, D. Karger, R. Koetter, and B. Hassibi On source-channel communication in networks by M. Gastpar Duality in multi-user source and channel coding by S. S. Pradhan and K. Ramchandran Part IV. Coding: Noiseless data compression with low-density parity-check codes by G. Caire, S. Shamai, and S. Verdu Diversity embedding in multiple antenna communications by S. N. Diggavi, N. Al-Dhahir, and A. R. Calderbank Cooperative communication in wireless systems by E. Erkip, A. Sendonaris, A. Stefanov, and B. Aazhang Hybrid ARQ with random transmission assignments by E. Soljanin, R. Liu, and P. Spasojevic An information-theoretic approach to bit-stuffing for network protocols by J. K. Wolf.

Product Details

  • ISBN13: 9780821834671
  • Format: Hardback
  • ID: 9780821834671
  • ISBN10: 0821834673

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