Energy-Limited Joint Source–Channel Coding of Gaussian Sources over Gaussian Channels with Unknown Noise Level

Omri Lev*, Anatoly Khina

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

We consider the problem of transmitting a Gaussian source with minimum mean square error distortion over an infinite-bandwidth additive white Gaussian noise channel with an unknown noise level and under an input energy constraint. We construct a universal joint source–channel coding scheme with respect to the noise level, 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.

Original languageEnglish
Article number1522
JournalEntropy
Volume25
Issue number11
DOIs
StatePublished - Nov 2023

Funding

FundersFunder number
Israel Ministry of Economy and Industry
Israel Science Foundation2077/20
Tel Aviv University
Yitzhak and Chaya Weinstein Research Institute for Signal Processing, Tel Aviv University

    Keywords

    • Gaussian channel
    • energy constraint
    • infinite bandwidth
    • joint source–channel coding

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