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

Entropy (Basel)

School of Electrical Engineering, Tel Aviv University, Tel Aviv 6997801, Israel.

Published: November 2023

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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670026PMC
http://dx.doi.org/10.3390/e25111522DOI Listing

Publication Analysis

Top Keywords

noise level
16
joint source-channel
8
source-channel coding
8
unknown noise
8
linear layers
8
noise
5
energy-limited joint
4
gaussian
4
coding gaussian
4
gaussian sources
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!