Asymptotically Optimal Joint Source-Channel Coding with Minimal Delay

TL;DR

This paper introduces a joint source-channel coding scheme for Gaussian sources over Gaussian channels that achieves optimal mean-squared error scaling with minimal delay, making it practical and efficient.

Contribution

The paper proposes a new coding strategy that is both asymptotically optimal in error performance and simple to implement with minimal delay per source symbol.

Findings

Optimal mean-squared error scaling with SNR

Simple implementation of the coding scheme

Minimal delay in encoding process

Abstract

We present and analyze a joint source-channel coding strategy for the transmission of a Gaussian source across a Gaussian channel in n channel uses per source symbol. Among all such strategies, our scheme has the following properties: i) the resulting mean-squared error scales optimally with the signal-to-noise ratio, and ii) the scheme is easy to implement and the incurred delay is minimal, in the sense that a single source symbol is encoded at a time.