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Zero-delay transmission of a Gaussian source over an additive white Gaussiannoise (AWGN) channel is considered in the presence of an additive Gaussianinterference signal. The mean squared error (MSE) distortion is minimized underan average power constraint assuming that the interference signal is known atthe transmitter. Optimality of simple linear transmission does not hold in thissetting due to the presence of the known interference signal. While the optimalencoder-decoder pair remains an open problem, various non-linear transmissionschemes are proposed in this paper. In particular, interference concentration(ICO) and one-dimensional lattice (1DL) strategies, using both uniform andnon-uniform quantization of the interference signal, are studied. It is shownthat, in contrast to typical scalar quantization of Gaussian sources, anon-uniform quantizer, whose quantization intervals become smaller as we gofurther from zero, improves the performance. Given that the optimal decoder isthe minimum MSE (MMSE) estimator, a necessary condition for the optimality ofthe encoder is derived, and the numerically optimized encoder (NOE) satisfyingthis condition is obtained. Based on the numerical results, it is shown that1DL with non-uniform quantization performs closer (compared to the otherschemes) to the numerically optimized encoder while requiring significantlylower complexity.

Zero-Delay Joint Source-Channel Coding in the Presence of Interference Known at the Encoder