Maximum A Posteriori Probability Channel Tracking with an Intelligent Transmitting Surface
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866908791615782912 |
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| author | Ramezani, Parisa Kosasih, Alva Björnson, Emil |
| author_facet | Ramezani, Parisa Kosasih, Alva Björnson, Emil |
| contents | This paper considers an intelligent transmitting surface (ITS) integrated into a base station and develops a low-overhead maximum a posteriori (MAP) probability channel tracking method for the dominant line-of-sight link between the ITS and the user equipment. We cast the per-block channel as a three-parameter model consisting of the channel amplitude, channel phase, and angle-of-arrival at the ITS. We exploit temporal correlation by updating the priors using the estimates from the previous block. Using only two pilots per coherence block alongside a targeted beam alignment strategy, the proposed method achieves precise channel tracking and attains spectral efficiency close to that achievable under perfect channel knowledge. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_19660 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Maximum A Posteriori Probability Channel Tracking with an Intelligent Transmitting Surface Ramezani, Parisa Kosasih, Alva Björnson, Emil Signal Processing This paper considers an intelligent transmitting surface (ITS) integrated into a base station and develops a low-overhead maximum a posteriori (MAP) probability channel tracking method for the dominant line-of-sight link between the ITS and the user equipment. We cast the per-block channel as a three-parameter model consisting of the channel amplitude, channel phase, and angle-of-arrival at the ITS. We exploit temporal correlation by updating the priors using the estimates from the previous block. Using only two pilots per coherence block alongside a targeted beam alignment strategy, the proposed method achieves precise channel tracking and attains spectral efficiency close to that achievable under perfect channel knowledge. |
| title | Maximum A Posteriori Probability Channel Tracking with an Intelligent Transmitting Surface |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2601.19660 |