Terahertz User-Centric Clustering in the Presence of Beam Misalignment
Fuente:
arXiv
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866917593133088768 |
|---|---|
| author | Humadi, Khaled Trigui, Imene Zhu, Wei-Ping Ajib, Wessam |
| author_facet | Humadi, Khaled Trigui, Imene Zhu, Wei-Ping Ajib, Wessam |
| contents | Beam misalignment is one of the main challenges for the design of reliable wireless systems in terahertz (THz) bands. This paper investigates how to apply user-centric base station (BS) clustering as a valuable add-on in THz networks. In particular, to reduce the impact of beam misalignment, a user-centric BS clustering design that provides multi-connectivity via BS cooperation is investigated. The coverage probability is derived by leveraging an accurate approximation of the aggregate interference distribution that captures the effect of beam misalignment and THz fading. The numerical results reveal the impact of beam misalignment with respect to crucial link parameters, such as the transmitter's beam width and the serving cluster size, demonstrating that user-centric BS clustering is a promising enabler of THz networks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_11834 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Terahertz User-Centric Clustering in the Presence of Beam Misalignment Humadi, Khaled Trigui, Imene Zhu, Wei-Ping Ajib, Wessam Systems and Control Signal Processing Beam misalignment is one of the main challenges for the design of reliable wireless systems in terahertz (THz) bands. This paper investigates how to apply user-centric base station (BS) clustering as a valuable add-on in THz networks. In particular, to reduce the impact of beam misalignment, a user-centric BS clustering design that provides multi-connectivity via BS cooperation is investigated. The coverage probability is derived by leveraging an accurate approximation of the aggregate interference distribution that captures the effect of beam misalignment and THz fading. The numerical results reveal the impact of beam misalignment with respect to crucial link parameters, such as the transmitter's beam width and the serving cluster size, demonstrating that user-centric BS clustering is a promising enabler of THz networks. |
| title | Terahertz User-Centric Clustering in the Presence of Beam Misalignment |
| topic | Systems and Control Signal Processing |
| url | https://arxiv.org/abs/2402.11834 |