Site-Specific Finetuning of Neural Receivers with Real-World 5G NR Measurements
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arXiv
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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2026
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| _version_ | 1866911503196618752 |
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| author | Baytekin, Nuri Berke Wiesmayr, Reinhard Cammerer, Sebastian Dick, Chris Studer, Christoph |
| author_facet | Baytekin, Nuri Berke Wiesmayr, Reinhard Cammerer, Sebastian Dick, Chris Studer, Christoph |
| contents | Finetuning wireless receivers to a specific deployment scenario can yield significant error-rate performance improvements without increasing processing complexity. However, site-specific finetuning has so far only been demonstrated on synthetic channel data and lacks real-world benchmarks. In this work, we empirically study site-specific finetuning of neural receivers using real-world 5G NR physical uplink shared channel (PUSCH) data collected with an over-the-air testbed at ETH Zurich across three scenarios: (i) a small laboratory, (ii) a large office floor, and (iii) a high-mobility outdoor environment. Our results confirm substantial error-rate performance improvements from site-specific finetuning, consistent with earlier findings based on synthetic channel data. Moreover, we demonstrate that these improvements generalize across different user-equipment hardware and deployment scenarios. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_09644 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Site-Specific Finetuning of Neural Receivers with Real-World 5G NR Measurements Baytekin, Nuri Berke Wiesmayr, Reinhard Cammerer, Sebastian Dick, Chris Studer, Christoph Signal Processing Information Theory Finetuning wireless receivers to a specific deployment scenario can yield significant error-rate performance improvements without increasing processing complexity. However, site-specific finetuning has so far only been demonstrated on synthetic channel data and lacks real-world benchmarks. In this work, we empirically study site-specific finetuning of neural receivers using real-world 5G NR physical uplink shared channel (PUSCH) data collected with an over-the-air testbed at ETH Zurich across three scenarios: (i) a small laboratory, (ii) a large office floor, and (iii) a high-mobility outdoor environment. Our results confirm substantial error-rate performance improvements from site-specific finetuning, consistent with earlier findings based on synthetic channel data. Moreover, we demonstrate that these improvements generalize across different user-equipment hardware and deployment scenarios. |
| title | Site-Specific Finetuning of Neural Receivers with Real-World 5G NR Measurements |
| topic | Signal Processing Information Theory |
| url | https://arxiv.org/abs/2603.09644 |