Environment-aware Near-field UE Tracking under Partial Blockage and Reflection
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arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| _version_ | 1866911512229052416 |
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| author | Park, Hyunwoo Rou, Hyeon Seok de Abreu, Giuseppe Thadeu Freitas Kim, Sunwoo |
| author_facet | Park, Hyunwoo Rou, Hyeon Seok de Abreu, Giuseppe Thadeu Freitas Kim, Sunwoo |
| contents | This paper proposes an environment-aware near-field (NF) user equipment (UE) tracking method for extremely large aperture arrays. By integrating known surface geometries and tracking the line-of-sight (LOS) and non-line-of-sight (NLOS) indicators per antenna element, the method captures partial blockages and reflections specific to the NF spherical-wavefront regime, which are unavailable under the conventional far-field (FF) assumption. The UE positions are tracked by maximizing the cosine similarity between the predicted and received channels, enabling tracking even under complete LOS obstruction. Simulation results confirm that increasing environment-awareness improves accuracy, and that NF consistently outperforms FF baselines, achieving a $0.22\,\mathrm{m}$ root-mean-square error with full environment-awareness. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_12896 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Environment-aware Near-field UE Tracking under Partial Blockage and Reflection Park, Hyunwoo Rou, Hyeon Seok de Abreu, Giuseppe Thadeu Freitas Kim, Sunwoo Signal Processing This paper proposes an environment-aware near-field (NF) user equipment (UE) tracking method for extremely large aperture arrays. By integrating known surface geometries and tracking the line-of-sight (LOS) and non-line-of-sight (NLOS) indicators per antenna element, the method captures partial blockages and reflections specific to the NF spherical-wavefront regime, which are unavailable under the conventional far-field (FF) assumption. The UE positions are tracked by maximizing the cosine similarity between the predicted and received channels, enabling tracking even under complete LOS obstruction. Simulation results confirm that increasing environment-awareness improves accuracy, and that NF consistently outperforms FF baselines, achieving a $0.22\,\mathrm{m}$ root-mean-square error with full environment-awareness. |
| title | Environment-aware Near-field UE Tracking under Partial Blockage and Reflection |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2603.12896 |