Given the possibility of communication systems failing catastrophically, we investigate limits to communicating over channels that fail at random times. These channels are finite-state semi-Markov channels. We show that communication with arbitrarily small probability of error is not possible. Making use of results in finite blocklength channel coding, we determine sequences of blocklengths that optimize transmission volume communicated at fixed maximum message error probabilities. We provide a partial ordering of communication channels. A dynamic programming formulation is used to show the structural result that channel state feedback does not improve performance.First author draf
A coding theorem is proved for memoryless channels when the channel state feedback of finite cardina...
Abstract—We study the capacity of indecomposable finite-state channels (IFSCs) with feedback. It is ...
With the explosion of data, all communication systems need to provide increased data rates and highe...
Given the possibility of communication systems failing catastrophically, we investigate limits to co...
In wireless networks, communication links may be subject to random fatal impacts: for example, sens...
Abstract—Consider communication over a channel whose probabilistic model is completely unknown vecto...
As the mobile application landscape expands, wireless networks are tasked with supporting different ...
A coding theorem is proved for memoryless channels when the channel state feedback of finite cardina...
We consider an information theoretic model of a communication channel with a time-varying probabilit...
International audienceRecent advances in information theory have provided achievability bounds and c...
This paper introduces a new and effective information theoretic test of the accuracy of the Markov p...
The main goal for the communication engineer is to design the encoder and decoder so that the system...
Information-theoretic studies on the fundamental limits of communication over wireless fading channe...
The reliable transmission of information bearing signals over a communication channel constitutes a ...
In this paper, we introduce a general framework for treating channels with memory and feedback. Firs...
A coding theorem is proved for memoryless channels when the channel state feedback of finite cardina...
Abstract—We study the capacity of indecomposable finite-state channels (IFSCs) with feedback. It is ...
With the explosion of data, all communication systems need to provide increased data rates and highe...
Given the possibility of communication systems failing catastrophically, we investigate limits to co...
In wireless networks, communication links may be subject to random fatal impacts: for example, sens...
Abstract—Consider communication over a channel whose probabilistic model is completely unknown vecto...
As the mobile application landscape expands, wireless networks are tasked with supporting different ...
A coding theorem is proved for memoryless channels when the channel state feedback of finite cardina...
We consider an information theoretic model of a communication channel with a time-varying probabilit...
International audienceRecent advances in information theory have provided achievability bounds and c...
This paper introduces a new and effective information theoretic test of the accuracy of the Markov p...
The main goal for the communication engineer is to design the encoder and decoder so that the system...
Information-theoretic studies on the fundamental limits of communication over wireless fading channe...
The reliable transmission of information bearing signals over a communication channel constitutes a ...
In this paper, we introduce a general framework for treating channels with memory and feedback. Firs...
A coding theorem is proved for memoryless channels when the channel state feedback of finite cardina...
Abstract—We study the capacity of indecomposable finite-state channels (IFSCs) with feedback. It is ...
With the explosion of data, all communication systems need to provide increased data rates and highe...