Minimum Energy Analysis for Robust Gaussian Joint Source-Channel Coding with a Square-Law Profile
Mohammadamin Baniasadi, and Ertem Tuncel

TL;DR
This paper investigates the minimum energy needed for robust Gaussian source transmission over Gaussian channels to meet a specified distortion-noise profile, providing improved bounds and a new coding scheme.
Contribution
It introduces new bounds and a coding scheme for minimum energy transmission of Gaussian sources under a distortion-noise profile.
Findings
Derived tighter lower bounds for energy requirements.
Developed an effective coding scheme matching bounds.
Enhanced understanding of energy-distortion trade-offs.
Abstract
A distortion-noise profile is a function indicating the maximum allowed source distortion value for each noise level in the channel. In this paper, the minimum energy required to achieve a distortion noise profile is studied for Gaussian sources which are transmitted robustly over Gaussian channels. We provide improved lower and upper bounds for the minimum energy behavior of the square-law profile using a family of lower bounds and our proposed coding scheme.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsWireless Communication Security Techniques · Advanced MIMO Systems Optimization · Advanced Wireless Communication Techniques
