Covering-radius and Collinearity- Minimizing Pilots for Channel Estimation in TDD Systems
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arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866910111926059008 |
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| author | Zhu, Xu Zeng, Yi Li, Tiejun |
| author_facet | Zhu, Xu Zeng, Yi Li, Tiejun |
| contents | This letter studies pilot design for orthogonal frequency-division multiplexing-based time-division duplex (TDD) systems under a sliding-window latest-slot recovery framework that jointly exploits delay-Doppler sparsity across recent slots. Under contiguous-subband and fairness constraints, this viewpoint naturally leads to a geometry-aware time-frequency joint pilot assignment. We show that effective patterns should balance grid coverage and redundant-collinearity suppression, with an additional symmetry-avoidance refinement when complete collinearity elimination is infeasible. Based on these principles, we formulate a mixed-integer construction method compatible with practical TDD allocation. Numerical results show that minimum-coverage-radius and collinearity-control (MCC) pattern improves both surrogate geometry metrics and latest-slot recovery performance. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_06041 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Covering-radius and Collinearity- Minimizing Pilots for Channel Estimation in TDD Systems Zhu, Xu Zeng, Yi Li, Tiejun Information Theory Signal Processing 94A12, 90C11, 94A05 C.2.1; G.1.6 This letter studies pilot design for orthogonal frequency-division multiplexing-based time-division duplex (TDD) systems under a sliding-window latest-slot recovery framework that jointly exploits delay-Doppler sparsity across recent slots. Under contiguous-subband and fairness constraints, this viewpoint naturally leads to a geometry-aware time-frequency joint pilot assignment. We show that effective patterns should balance grid coverage and redundant-collinearity suppression, with an additional symmetry-avoidance refinement when complete collinearity elimination is infeasible. Based on these principles, we formulate a mixed-integer construction method compatible with practical TDD allocation. Numerical results show that minimum-coverage-radius and collinearity-control (MCC) pattern improves both surrogate geometry metrics and latest-slot recovery performance. |
| title | Covering-radius and Collinearity- Minimizing Pilots for Channel Estimation in TDD Systems |
| topic | Information Theory Signal Processing 94A12, 90C11, 94A05 C.2.1; G.1.6 |
| url | https://arxiv.org/abs/2604.06041 |