Beyond Traditional Beamforming: Singular Vector Projection for MU-MIMO
Fuente:
arXiv
Salvato in:
| Autori principali: | , , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2023
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866929658602192896 |
|---|---|
| author | Ullah, Md Saheed Murshed, Rafid Umayer Saquib, Mohammad Uddin, Md. Forkan |
| author_facet | Ullah, Md Saheed Murshed, Rafid Umayer Saquib, Mohammad Uddin, Md. Forkan |
| contents | This letter introduces a low-complexity beamforming approach for MU-MIMO systems with multiple data streams per user, minimizing inter-user interference and improving spectral efficiency (SE). The Interference-Optimized Singular Vector Beamforming (IOSVB) algorithm is developed by correlating inter-user interference with channel singular vectors. It blends interference minimization and SE maximization by identifying ideal singular vectors. Extensive simulations demonstrate that IOSVB provides near-optimal SE performance, closely matching exhaustive search results while reducing the computational overhead. This novel approach in MU-MIMO systems is a promising option for future 6G wireless communication networks due to its excellent performance and reduced complexity. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2311_03741 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Beyond Traditional Beamforming: Singular Vector Projection for MU-MIMO Ullah, Md Saheed Murshed, Rafid Umayer Saquib, Mohammad Uddin, Md. Forkan Signal Processing This letter introduces a low-complexity beamforming approach for MU-MIMO systems with multiple data streams per user, minimizing inter-user interference and improving spectral efficiency (SE). The Interference-Optimized Singular Vector Beamforming (IOSVB) algorithm is developed by correlating inter-user interference with channel singular vectors. It blends interference minimization and SE maximization by identifying ideal singular vectors. Extensive simulations demonstrate that IOSVB provides near-optimal SE performance, closely matching exhaustive search results while reducing the computational overhead. This novel approach in MU-MIMO systems is a promising option for future 6G wireless communication networks due to its excellent performance and reduced complexity. |
| title | Beyond Traditional Beamforming: Singular Vector Projection for MU-MIMO |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2311.03741 |