In this paper, we study upper and lower bounds on the error exponents for joint source-channel coding with decoder side-information. The results in the paper are nontrivial extensions of Csiszar's classical paper ...
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In this paper, we study upper and lower bounds on the error exponents for joint source-channel coding with decoder side-information. The results in the paper are nontrivial extensions of Csiszar's classical paper "Joint source-Channel Error Exponent", Problems of Control and information Theory, 1980. Unlike the joint source-channel coding result in Csiszar's paper, it is not obvious whether the lower bound and the upper bound are equivalent even if the channel coding error exponent is known. For a class of channels, including symmetric channels, we apply a game-theoretic result to establish the existence of a saddle point and, hence, prove that the lower and upper bounds are the same if the channel coding error exponent is known. More interestingly, we show that encoder side-information does not increase the error exponents in this case.
A coding scheme for the discrete memoryless broadcast channel with {noiseless, noisy, generalized} feedback is proposed, and the associated achievable region derived. The scheme is based on a block-Markov strategy com...
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A coding scheme for the discrete memoryless broadcast channel with {noiseless, noisy, generalized} feedback is proposed, and the associated achievable region derived. The scheme is based on a block-Markov strategy combining the Marton scheme and a lossy version of the Gray-Wyner scheme with sideinformation. In each block, the transmitter sends fresh data and update information that allows the receivers to improve the channel outputs observed in the previous block. For a generalization of Dueck's broadcast channel, our scheme achieves the noiseless-feedback capacity, which is strictly larger than the no-feedback capacity. For a generalization of Blackwell's channel and when the feedback is noiseless, our new scheme achieves rate points that are outside the no-feedback capacity region. It follows by a simple continuity argument that for both these channels and when the feedback noise is sufficiently low, our scheme improves on the no-feedback capacity even when the feedback is noisy.
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