Learned codes for broadcast channels with feedback

TL;DR

This paper introduces a novel learned coding scheme for symmetric Gaussian broadcast channels with feedback, improving reliability and performance at short blocklengths by jointly training encoder and decoder.

Contribution

It presents the first lightweight learned code specifically designed for broadcast channels with feedback, extending learned coding techniques to multi-user scenarios.

Findings

Performs well at short blocklengths

Enhances reliability with feedback

Operates effectively in multi-user broadcast settings

Abstract

We focus on designing error-correcting codes for the symmetric Gaussian broadcast channel with feedback. Feedback not only expands the capacity region of the broadcast channel but also enhances transmission reliability. In this work, we study the construction of learned finite blocklength codes for broadcast channels with feedback. Learned error-correcting codes, in which both the encoder and decoder are jointly trained, have shown impressive performance in point-to-point channels, particularly with noisy feedback. However, few learned schemes exist for multi-user channels. Here, we develop a lightweight code for the broadcast channel with feedback that performs well and operates effectively at short blocklengths.