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arXiv · 2509.14217

Goal-Oriented Joint Source-Channel Coding: Distortion-Classification-Power Trade-off

Andriy Enttsel·Weichen Wang·Mauro Mangia·Riccardo Rovatti·Deniz Gündüz
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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.

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Andriy Enttsel, Weichen Wang, Mauro Mangia, Riccardo Rovatti, Deniz Gündüz. 2025-09-17. Goal-Oriented Joint Source-Channel Coding: Distortion-Classification-Power Trade-off. https://arxiv.org/abs/2509.14217

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