Journal ArticleDOI
Coding of arbitrarily varying multiuser channels
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The capacity region for the arbitrarily varying multiple-access channel is determined, and a region of achievable rate triplets for the general broadcast channel is given including as special cases all capacity regions known until now for broadcast channels.Abstract:
The capacity region for the arbitrarily varying multiple-access channel is determined. A region of achievable rate triplets for the arbitrarily varying general broadcast channel is then given. Finally a region of achievable rate triplets for the general broadcast channel is given including as special cases all capacity regions known until now for broadcast channels.read more
Citations
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Journal ArticleDOI
Reliable communication under channel uncertainty
Amos Lapidoth,Prakash Narayan +1 more
TL;DR: In many communication situations, the transmitter and the receiver must be designed without a complete knowledge of the probability law governing the channel over which transmission takes place.
Journal ArticleDOI
The method of types [information theory]
TL;DR: While the method of types is suitable primarily for discrete memoryless models, its extensions to certain models with memory are also discussed, and a wide selection of further applications are surveyed.
Journal ArticleDOI
Comments on broadcast channels
TL;DR: The key ideas in the theory of broadcast channels are illustrated by discussing some of the progress toward finding the capacity region.
Journal ArticleDOI
Multiple user information theory
A. El Gamal,Thomas M. Cover +1 more
TL;DR: A unified framework is given for multiple user information networks that consist of several users communicating to one another in the presence of arbitrary interference and noise and speculations about the form of a general theory of information flow in networks are offered.
Book
Reliability Criteria in Information Theory and in Statistical Hypothesis Testing
TL;DR: This survey is devoted to one of the central problems of Information Theory -- the problem of determination of interdependence between coding rate and error probability exponent for different information transmission systems.
References
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Journal ArticleDOI
Noiseless coding of correlated information sources
David Slepian,Jack K. Wolf +1 more
TL;DR: The minimum number of bits per character R_X and R_Y needed to encode these sequences so that they can be faithfully reproduced under a variety of assumptions regarding the encoders and decoders is determined.
Journal ArticleDOI
Broadcast channels
TL;DR: This work introduces the problem of a single source attempting to communicate information simultaneously to several receivers and determines the families of simultaneously achievable transmission rates for many extreme classes of channels to lead to a new approach to the compound channels problem.
Journal ArticleDOI
The zero error capacity of a noisy channel
TL;DR: It is shown that while the ordinary capacity of a memoryless channel with feedback is equal to that of the same channel without feedback, the zero error capacity may be greater and a solution is given to the problem of evaluating C_oF.
Two-way Communication Channels
TL;DR: This work wishes to determine what pairs of signalling rates R1 and R2 for the two directions can be approached with arbitrarily small error probabilities.
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