A digital fountain approach to reliable distribution of bulk data
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
Information Theory and Reliable Communication
Information Theory and Reliable Communication
Information Theory: Coding Theorems for Discrete Memoryless Systems
Information Theory: Coding Theorems for Discrete Memoryless Systems
FOCS '02 Proceedings of the 43rd Symposium on Foundations of Computer Science
Reliable communication under channel uncertainty
IEEE Transactions on Information Theory
The throughput of hybrid-ARQ protocols for the Gaussian collision channel
IEEE Transactions on Information Theory
Reliable channel regions for good binary codes transmitted over parallel channels
IEEE Transactions on Information Theory
Variable length coding over an unknown channel
IEEE Transactions on Information Theory
Coding for Parallel Channels: Gallager Bounds and Applications to Turbo-Like Codes
IEEE Transactions on Information Theory
Zero-rate feedback can achieve the empirical capacity
IEEE Transactions on Information Theory
Variable-rate channel capacity
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
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Rateless coding has recently been the focus of much practical as well as theoretical research. In this paper, rateless codes are shown to find a natural application in channels where the channel law varies unpredictably. Such unpredictability means that to ensure reliable communication block codes are limited by worst case channel variations. However, the dynamic decoding nature of rateless codes allows them to adapt opportunistically to channel variations. If the channel state selector is not malicious, but also not predictable, decoding can occur earlier, producing a rate of communication that can be much higher than the worst case The application of rateless or "fountain" codes to the binary erasure channel (BEC) can be understood as an application of these ideas. Further, this sort of decoding can be usefully understood as an incremental form of erasure decoding. The use of ideas of erasure decoding result in a significant increase in reliability.