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

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Title: Zero-Delay Joint Source-Channel Coding in the Presence of Interference Known at the Encoder
Author(s): Varasteh, M
Gunduz, D
Ertem, T
Item Type: Journal Article
Abstract: Zero-delay transmission of a Gaussian source over an additive white Gaussian noise (AWGN) channel is considered in the presence of an additive Gaussian interference signal. The mean squared error (MSE) distortion is minimized under an average power constraint assuming that the interference signal is known at the transmitter. Optimality of simple linear transmission does not hold in this setting due to the presence of the known interference signal. While the optimal encoder-decoder pair remains an open problem, various non-linear transmission schemes are proposed in this paper. In particular, interference concentration (ICO) and one-dimensional lattice (1DL) strategies, using both uniform and non-uniform quantization of the interference signal, are studied. It is shown that, in contrast to typical scalar quantization of Gaussian sources, a non-uniform quantizer, whose quantization intervals become smaller as we go further from zero, improves the performance. Given that the optimal decoder is the minimum MSE (MMSE) estimator, a necessary condition for the optimality of the encoder is derived, and the numerically optimized encoder (NOE) satisfying this condition is obtained. Based on the numerical results, it is shown that 1DL with nonuniform quantization performs closer (compared to the other schemes) to the numerically optimized encoder while requiring significantly lower complexity.
Publication Date: 6-Jun-2016
Date of Acceptance: 9-May-2016
URI: http://hdl.handle.net/10044/1/38952
DOI: http://dx.doi.org/10.1109/TCOMM.2016.2577028
ISSN: 0090-6778
Publisher: IEEE
Start Page: 3311
End Page: 3322
Journal / Book Title: IEEE Transactions on Communications
Volume: 64
Issue: 8
Copyright Statement: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor/Funder: British Council
Funder's Grant Number: 173605884
Keywords: Science & Technology
Technology
Engineering, Electrical & Electronic
Telecommunications
Engineering
Interference concentration
Joint source-channel coding
Lattice coding
Zero-delay transmission
MAPPINGS
Electrical And Electronic Engineering
Communications Technologies
Publication Status: Published
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering



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