Universal Joint Source-Channel Coding Under an Input Energy Constraint

Fuente: arXiv
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Autori principali: Lev, Omri, Khina, Anatoly
Natura: Preprint
Pubblicazione: 2021
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author Lev, Omri
Khina, Anatoly
author_facet Lev, Omri
Khina, Anatoly
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2109_02337
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle Universal Joint Source-Channel Coding Under an Input Energy Constraint
Lev, Omri
Khina, Anatoly
Information Theory
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.
title Universal Joint Source-Channel Coding Under an Input Energy Constraint
topic Information Theory
url https://arxiv.org/abs/2109.02337