Capacity Maximization for RIS-assisted Multi-user MISO Communication Systems
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arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866917639012483072 |
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| author | Manasa, M. S. S. Kota, Kali Krishna Mankar, Praful D. Dhillon, Harpreet S. |
| author_facet | Manasa, M. S. S. Kota, Kali Krishna Mankar, Praful D. Dhillon, Harpreet S. |
| contents | We consider a multi-user multiple input single output (MU-MISO) system assisted by a reconfigurable intelligent surface (RIS). For such a system, we aim to optimally select the RIS phase shifts and precoding vectors for maximizing the effective rank of the weighted channel covariance matrix which in turn improves the channel capacity. For a low-complex transmitter design, we employ maximum ratio transmission (MRT) and minimum-mean square error (MMSE) precoding schemes along with water-filling algorithm-based power allocation. Further, we show that MRT and MMSE exhibit equivalent performance and become optimal when the channel effective rank is maximized by optimally configuring the RIS consisting of a large number of elements. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_08909 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Capacity Maximization for RIS-assisted Multi-user MISO Communication Systems Manasa, M. S. S. Kota, Kali Krishna Mankar, Praful D. Dhillon, Harpreet S. Information Theory We consider a multi-user multiple input single output (MU-MISO) system assisted by a reconfigurable intelligent surface (RIS). For such a system, we aim to optimally select the RIS phase shifts and precoding vectors for maximizing the effective rank of the weighted channel covariance matrix which in turn improves the channel capacity. For a low-complex transmitter design, we employ maximum ratio transmission (MRT) and minimum-mean square error (MMSE) precoding schemes along with water-filling algorithm-based power allocation. Further, we show that MRT and MMSE exhibit equivalent performance and become optimal when the channel effective rank is maximized by optimally configuring the RIS consisting of a large number of elements. |
| title | Capacity Maximization for RIS-assisted Multi-user MISO Communication Systems |
| topic | Information Theory |
| url | https://arxiv.org/abs/2404.08909 |