URLLC Networks enabled by STAR-RIS, Rate Splitting, and Multiple Antennas
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arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866909379693903872 |
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| author | Jorswieck, Eduard Soleymani, Mohammad Santamaria, Ignacio Gutiérrez, Jesús |
| author_facet | Jorswieck, Eduard Soleymani, Mohammad Santamaria, Ignacio Gutiérrez, Jesús |
| contents | The challenges in dense ultra-reliable low-latency communication networks to deliver the required service to multiple devices are addressed by three main technologies: multiple antennas at the base station (MISO), rate splitting multiple access (RSMA) with private and common message encoding, and simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS). Careful resource allocation, encompassing beamforming and RIS optimization, is required to exploit the synergy between the three. We propose an alternating optimization-based algorithm, relying on minorization-maximization. Numerical results show that the achievable second-order max-min rates of the proposed scheme outperform the baselines significantly. MISO, RSMA, and STAR-RIS all contribute to enabling ultra-reliable low-latency communication (URLLC). |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_04581 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | URLLC Networks enabled by STAR-RIS, Rate Splitting, and Multiple Antennas Jorswieck, Eduard Soleymani, Mohammad Santamaria, Ignacio Gutiérrez, Jesús Signal Processing The challenges in dense ultra-reliable low-latency communication networks to deliver the required service to multiple devices are addressed by three main technologies: multiple antennas at the base station (MISO), rate splitting multiple access (RSMA) with private and common message encoding, and simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS). Careful resource allocation, encompassing beamforming and RIS optimization, is required to exploit the synergy between the three. We propose an alternating optimization-based algorithm, relying on minorization-maximization. Numerical results show that the achievable second-order max-min rates of the proposed scheme outperform the baselines significantly. MISO, RSMA, and STAR-RIS all contribute to enabling ultra-reliable low-latency communication (URLLC). |
| title | URLLC Networks enabled by STAR-RIS, Rate Splitting, and Multiple Antennas |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2411.04581 |