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Advances in Network Information Theory
About this Title
Piyush Gupta, Bell Laboratories, Lucent Technologies, Murray Hill, NJ, Gerhard Kramer, Bell Laboratories, Lucent Technologies, Murray Hill, NJ and Adriaan J. van Wijngaarden, Bell Laboratories, Lucent Technologies, Murray Hill, NJ, Editors
Publication: DIMACS Series in Discrete Mathematics and Theoretical Computer Science
Publication Year:
2004; Volume 66
ISBNs: 978-0-8218-3467-1 (print); 978-1-4704-4023-7 (online)
DOI: https://doi.org/10.1090/dimacs/066
MathSciNet review: MR2088524
MSC: Primary 94-06
ReadershipTable of Contents
Front/Back Matter
Part I. Information theory for sources
- Source coding and parallel routing
- Compressing a representation of events in a concurrent system
- Sum rate of a class of multiterminal Gaussian source coding problems
- Coding theorems for reversible embedding
Part II. Information theory for channels
- Unbounded loss in writing on dirty paper is possible
- A game-theoretic look at the Gaussian multiaccess channel
- Bounds on the sum timing capacity of single-server queues with multiple input and output terminals
- Job scheduling and multiple access
- Fading Gaussian broadcast channels with state information at the receivers
- Wireless network information theory
- The structure of least-favorable noise in Gaussian vector broadcast channels
Part III. Information theory for sources and channels
- Coding theorems for the sensor reachback problem with partially cooperating nodes
- Linear network codes: A unified framework for source, channel, and network coding
- On source-channel communication in networks
- Duality in multi-user source and channel coding
Part IV. Coding