Energy-Limited Joint Source—Channel Coding of Gaussian Sources over Gaussian Channels with Unknown Noise Level
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entropy-25-01522-v2.pdf
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627.24 KB
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Checksum (MD5)
6ce60e69c969e4d57858ac88f55dd274
Author(s)
Lev, Omri
Khina, Anatoly
Date Issued
November 6, 2023
Publisher
Multidisciplinary Digital Publishing Institute
Citation
Entropy 25 (11): 1522 (2023)
Version
Final published version
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.
MIT Department
Massachusetts Institute of Technology. Signals, Information and Algorithms Laboratory
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3390/e25111522
