Reduced-latency DL-based Fractional Channel Estimation in OTFS Receivers
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arXiv
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| Hauptverfasser: | , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866909534061068288 |
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| author | Marchese, Mauro Wymeersch, Henk Spallaccini, Paolo Chinnici, Stefano Savazzi, Pietro |
| author_facet | Marchese, Mauro Wymeersch, Henk Spallaccini, Paolo Chinnici, Stefano Savazzi, Pietro |
| contents | In this work, we propose a deep learning (DL)-based approach that integrates a state-of-the-art algorithm with a time-frequency (TF) learning framework to minimize overall latency. Meeting the stringent latency requirements of 6G orthogonal time-frequency space (OTFS) systems necessitates low-latency designs. The performance of the proposed approach is evaluated under challenging conditions: low delay and Doppler resolutions caused by limited time and frequency resources, and significant interpath interference (IPI) due to poor separability of propagation paths in the delay-Doppler (DD) domain. Simulation results demonstrate that the proposed method achieves high estimation accuracy while reducing latency by approximately 55\% during the maximization process. However, a performance trade-off is observed, with a maximum loss of 3 dB at high pilot SNR values. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_08234 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Reduced-latency DL-based Fractional Channel Estimation in OTFS Receivers Marchese, Mauro Wymeersch, Henk Spallaccini, Paolo Chinnici, Stefano Savazzi, Pietro Signal Processing In this work, we propose a deep learning (DL)-based approach that integrates a state-of-the-art algorithm with a time-frequency (TF) learning framework to minimize overall latency. Meeting the stringent latency requirements of 6G orthogonal time-frequency space (OTFS) systems necessitates low-latency designs. The performance of the proposed approach is evaluated under challenging conditions: low delay and Doppler resolutions caused by limited time and frequency resources, and significant interpath interference (IPI) due to poor separability of propagation paths in the delay-Doppler (DD) domain. Simulation results demonstrate that the proposed method achieves high estimation accuracy while reducing latency by approximately 55\% during the maximization process. However, a performance trade-off is observed, with a maximum loss of 3 dB at high pilot SNR values. |
| title | Reduced-latency DL-based Fractional Channel Estimation in OTFS Receivers |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2503.08234 |