Breaking the TDD Flow for Over-the-Air Phase Synchronization in Distributed Antenna Systems
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866908518191202304 |
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| author | Ngo, Khac-Hoang Larsson, Erik G. |
| author_facet | Ngo, Khac-Hoang Larsson, Erik G. |
| contents | Phase synchronization between distributed antenna arrays requires measurements that break the standard time-division duplex (TDD) operation. We present a feasibility study on implementing such synchronization and analyze its impact on the quality of service. Considering two antenna arrays with independent local oscillators (LOs), we propose a modified TDD flow to accommodate the transmission of phase synchronization signals, formulate the phase estimation and compensation problem, and derive the achievable downlink spectral efficiency (SE). Numerical results show that frequent re-estimation of the interarray phase disparity is essential for maximizing SE in systems with low-quality LOs. Furthermore, applying a Kalman filter for phase tracking substantially improves the SE, especially if phase estimation errors are large compared to LOs phase drifts. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_11411 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Breaking the TDD Flow for Over-the-Air Phase Synchronization in Distributed Antenna Systems Ngo, Khac-Hoang Larsson, Erik G. Information Theory Signal Processing Phase synchronization between distributed antenna arrays requires measurements that break the standard time-division duplex (TDD) operation. We present a feasibility study on implementing such synchronization and analyze its impact on the quality of service. Considering two antenna arrays with independent local oscillators (LOs), we propose a modified TDD flow to accommodate the transmission of phase synchronization signals, formulate the phase estimation and compensation problem, and derive the achievable downlink spectral efficiency (SE). Numerical results show that frequent re-estimation of the interarray phase disparity is essential for maximizing SE in systems with low-quality LOs. Furthermore, applying a Kalman filter for phase tracking substantially improves the SE, especially if phase estimation errors are large compared to LOs phase drifts. |
| title | Breaking the TDD Flow for Over-the-Air Phase Synchronization in Distributed Antenna Systems |
| topic | Information Theory Signal Processing |
| url | https://arxiv.org/abs/2504.11411 |