{"ID":2869991,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2509.14217","arxiv_id":"2509.14217","title":"Goal-Oriented Joint Source-Channel Coding: Distortion-Classification-Power Trade-off","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.","short_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...","url_abs":"https://arxiv.org/abs/2509.14217","url_pdf":"https://arxiv.org/pdf/2509.14217v1","authors":"[\"Andriy Enttsel\",\"Weichen Wang\",\"Mauro Mangia\",\"Riccardo Rovatti\",\"Deniz Gündüz\"]","published":"2025-09-17T17:51:00Z","proceeding":"eess.SP","tasks":"[\"eess.SP\"]","methods":"[]","has_code":false}