One-Step Quantized Network Coding for Near Sparse Gaussian Messages
In this paper, mathematical bases for non-adaptive joint source net-work coding of correlated messages in a Bayesian scenario are studied. Specifically, the authors 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, they derive theoretical guarantees on robust recovery in a one-step QNC scenario. Their mathematical derivations for Gaussian messages express the opportunity of distributed compression by using one-step QNC, as a simplified version of QNC scenario. Their simulation results show an improvement in terms of quality-delay performance over routing based packet forwarding.