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Minimum Energy Analysis for Robust Gaussian Joint Source-Channel Coding With a Distortion-Noise Profile.

Authors :
Baniasadi, Mohammadamin
Koken, Erman
Tuncel, Ertem
Source :
IEEE Transactions on Information Theory. Dec2022, Vol. 68 Issue 12, p7702-7713. 12p.
Publication Year :
2022

Abstract

Minimum energy required to achieve a distortion-noise profile, i.e., a function indicating the maximum allowed distortion value for each channel noise level, is studied for transmission of Gaussian sources over Gaussian channels. A general coding scheme is proposed to upper bound the minimum energy needed for any distortion-noise profile. Conversely, utilizing a family of lower bounds originally derived for broadcast channels with power constraints, the minimum required energy is lower bounded for any profile. As examples, linear, exponential, square-law, and staircase profiles are studied. It is shown that for the linear profile, as well as for any concave profile, uncoded transmission is optimal. As a negative result, it is shown that exponential profiles are not achievable with finite energy. For square-law and staircase profiles, upper bounds and lower bounds are derived and the gaps between them are studied. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189448
Volume :
68
Issue :
12
Database :
Academic Search Index
Journal :
IEEE Transactions on Information Theory
Publication Type :
Academic Journal
Accession number :
160651298
Full Text :
https://doi.org/10.1109/TIT.2022.3194725