One-Step Quantized Network Coding for Near Sparse Gaussian Messages
Abstract
In this paper, mathematical bases for non-adaptive joint source network coding of correlated messages in a Bayesian scenario are studied. Specifically, we introduce one-step Quantized Network Coding (QNC), which is a hybrid combination of network coding and packet forwarding for transmission. Motivated by the work on Bayesian compressed sensing, we derive theoretical guarantees on robust recovery in a one-step QNC scenario. Our mathematical derivations for Gaussian messages express the opportunity of distributed compression by using one-step QNC, as a simplified version of QNC scenario. Our simulation results show an improvement in terms of quality-delay performance over routing based packet forwarding.
Cite
@article{arxiv.1210.7399,
title = {One-Step Quantized Network Coding for Near Sparse Gaussian Messages},
author = {Mahdy nabaee and Fabrice Labeau},
journal= {arXiv preprint arXiv:1210.7399},
year = {2012}
}
Comments
Submitted for IEEE 2013 International Conference on Acoustics, Speech and Signal Processing (ICASSP13)