Information Theory and Reliable Communication
Information Theory and Reliable Communication
On the relay channel with receiver-transmitter feedback
IEEE Transactions on Information Theory
A simple converse of Burnashev's reliability function
IEEE Transactions on Information Theory
Feedback strategies for white Gaussian interference networks
IEEE Transactions on Information Theory
Feedback capacity of the first-order moving average Gaussian channel
IEEE Transactions on Information Theory
Error Exponents for Variable-Length Block Codes With Feedback and Cost Constraints
IEEE Transactions on Information Theory
Why Do Block Length and Delay Behave Differently if Feedback Is Present?
IEEE Transactions on Information Theory
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Schalkwijk and Kailath (1966) developed a class of block codes for Gaussian channels with ideal feedback for which the probability of decoding error decreases as a second-order exponent in block length for rates below capacity. This well-known but surprising result is explained and simply derived here in terms of a result by Elias (1956) concerning the minimum mean-square distortion achievable in transmitting a single Gaussian random variable over multiple uses of the same Gaussian channel. A simple modification of the Schalkwijk-Kailath scheme is then shown to have an error probability that decreases with an exponential order which is linearly increasing with block length. In the infinite bandwidth limit, this scheme produces zero error probability using bounded expected energy at all rates below capacity. A lower bound on error probability for the finite bandwidth case is then derived in which the error probability decreases with an exponential order which is linearly increasing in block length at the same rate as the upper bound.