Universal Joint Source-Channel Coding Under an Input Energy Constraint

TL;DR

This paper introduces a universal joint source-channel coding scheme for infinite-bandwidth Gaussian channels with unknown noise, utilizing layered modulo-lattice modulation with linear or PPM layers to improve energy efficiency and distortion performance.

Contribution

The paper presents a novel layered modulo-lattice modulation scheme that adapts to unknown noise levels, reducing energy use and enhancing distortion performance compared to existing methods.

Findings

Linear layers require less energy for the same distortion profile.

Replacing linear layers with PPM layers further improves energy efficiency.

The scheme is universal and effective under unknown noise conditions.

Abstract

We consider the problem of transmitting a source over an infinite-bandwidth additive white Gaussian noise channel with unknown noise level under an input energy constraint. We construct a universal scheme that uses modulo-lattice modulation with multiple layers; for each layer, we employ either analog linear modulation or analog pulse position modulation (PPM). We show that the designed scheme with linear layers requires less energy compared to existing solutions to achieve the same quadratically increasing distortion profile with the noise level; replacing the linear layers with PPM layers offers an additional improvement.