Goal-Oriented Joint Source-Channel Coding: Distortion-Classification-Power Trade-off
Signal Processing
2025-09-18 v1
Abstract
Joint source-channel coding is a compelling paradigm when low-latency and low-complexity communication is required. This work proposes a theoretical framework that integrates classification and anomaly detection within the conventional signal reconstruction objective. Assuming a Gaussian scalar source and constraining the encoder to piecewise linear mappings, we derive tractable design rules and explicitly characterize the trade-offs between distortion, classification error, and transmission power.
Cite
@article{arxiv.2509.14217,
title = {Goal-Oriented Joint Source-Channel Coding: Distortion-Classification-Power Trade-off},
author = {Andriy Enttsel and Weichen Wang and Mauro Mangia and Riccardo Rovatti and Deniz Gündüz},
journal= {arXiv preprint arXiv:2509.14217},
year = {2025}
}
Comments
13 pages, 3 figures