Centimeter Positioning Accuracy using AI/ML for 6G Applications
Fuente:
arXiv
Salvato in:
| Autori principali: | , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2024
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866914842482311168 |
|---|---|
| author | Kotturi, Sai Prasanth Ganti, Radha Krishna |
| author_facet | Kotturi, Sai Prasanth Ganti, Radha Krishna |
| contents | This research looks at using AI/ML to achieve centimeter-level user positioning in 6G applications such as the Industrial Internet of Things (IIoT). Initial results show that our AI/ML-based method can estimate user positions with an accuracy of 17 cm in an indoor factory environment. In this proposal, we highlight our approaches and future directions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_14458 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Centimeter Positioning Accuracy using AI/ML for 6G Applications Kotturi, Sai Prasanth Ganti, Radha Krishna Machine Learning Artificial Intelligence Information Theory Signal Processing This research looks at using AI/ML to achieve centimeter-level user positioning in 6G applications such as the Industrial Internet of Things (IIoT). Initial results show that our AI/ML-based method can estimate user positions with an accuracy of 17 cm in an indoor factory environment. In this proposal, we highlight our approaches and future directions. |
| title | Centimeter Positioning Accuracy using AI/ML for 6G Applications |
| topic | Machine Learning Artificial Intelligence Information Theory Signal Processing |
| url | https://arxiv.org/abs/2406.14458 |