Goal-Oriented Joint Source-Channel Coding: Distortion-Classification-Power Trade-off
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866915499672076288 |
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| author | Enttsel, Andriy Wang, Weichen Mangia, Mauro Rovatti, Riccardo Gündüz, Deniz |
| author_facet | Enttsel, Andriy Wang, Weichen Mangia, Mauro Rovatti, Riccardo Gündüz, Deniz |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_14217 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Goal-Oriented Joint Source-Channel Coding: Distortion-Classification-Power Trade-off Enttsel, Andriy Wang, Weichen Mangia, Mauro Rovatti, Riccardo Gündüz, Deniz Signal Processing 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. |
| title | Goal-Oriented Joint Source-Channel Coding: Distortion-Classification-Power Trade-off |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2509.14217 |