Zero-Delay Source-Channel Coding with a One-Bit ADC Front End and Correlated Receiver Side Information

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Title: Zero-Delay Source-Channel Coding with a One-Bit ADC Front End and Correlated Receiver Side Information
Author(s): Varasteh, M
Rassouli, B
Simeone, O
Gunduz, D
Item Type: Journal Article
Abstract: Zero-delay transmission of a Gaussian source over an additive white Gaussian noise (AWGN) channel is considered with a one-bit analog-to-digital converter (ADC) front end and a correlated side information at the receiver. The design of the optimal encoder and decoder is studied for two different performance criteria, namely the mean squared error (MSE) distortion and the distortion outage probability (DOP), under an average power constraint on the channel input. For both criteria, necessary optimality conditions for the encoder and the decoder are derived, which are then used to numerically obtain encoder and decoder mappings that satisfy these conditions. Using these conditions, it is observed that the numerically optimized encoder (NOE) under the MSE distortion criterion is periodic, and its period increases with the correlation between the source and the receiver side information. For the DOP, it is instead seen that the NOE mappings periodically acquire positive and negative values, which decay to zero with increasing source magnitude, and the interval over which the mapping takes non-zero values becomes wider with the correlation between the source and the side information. Finally, inspired by the mentioned properties of the NOE mappings, parameterized encoder mappings with a small number of degrees of freedom are proposed for both distortion criteria, and their performance is compared with that of the NOE mappings.
Publication Date: 31-Aug-2017
Date of Acceptance: 19-Aug-2017
URI: http://hdl.handle.net/10044/1/53579
DOI: https://dx.doi.org/10.1109/TCOMM.2017.2747541
ISSN: 0090-6778
Publisher: Institute of Electrical and Electronics Engineers
Journal / Book Title: IEEE Transactions on Communications
Replaces: http://hdl.handle.net/10044/1/52017
10044/1/52017
Copyright Statement: © 2017 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 (UK)
Commission of the European Communities
Funder's Grant Number: 173605884
677854
Keywords: 0906 Electrical And Electronic Engineering
1005 Communications Technologies
Publication Status: Published online
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering



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