Opportunistic Subarray Grouping for RIS-Aided Massive Random Access in Cellular Connectivity
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arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866912289385349120 |
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| author | Wang, Yizhu Zhang, Zhou Atapattu, Saman Di Renzo, Marco |
| author_facet | Wang, Yizhu Zhang, Zhou Atapattu, Saman Di Renzo, Marco |
| contents | In Reconfigurable Intelligent Surfaces (RIS), reflective elements (REs) are typically configured as a single array, but as RE numbers increase, this approach incurs high overhead for optimal configuration. Subarray grouping provides an effective tradeoff between performance and overhead. This paper studies RIS-aided massive random access (RA) at the Medium Access Control (MAC) layer in cellular networks to enhance throughput. We introduce an opportunistic scheduling scheme that integrates multi-round access requests, subarray grouping for efficient RIS link acquisition, and multi-user data transmission. To optimize access request timing, RIS estimation overhead and throughput, we propose a multi-user RA strategy using sequential decision optimization to maximize average system throughput. A low-complexity algorithm is also developed for practical implementation. Both theoretical analysis and numerical simulations demonstrate that the proposed strategy significantly outperforms the extremes of full-array grouping and element-wise grouping. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_17904 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Opportunistic Subarray Grouping for RIS-Aided Massive Random Access in Cellular Connectivity Wang, Yizhu Zhang, Zhou Atapattu, Saman Di Renzo, Marco Signal Processing In Reconfigurable Intelligent Surfaces (RIS), reflective elements (REs) are typically configured as a single array, but as RE numbers increase, this approach incurs high overhead for optimal configuration. Subarray grouping provides an effective tradeoff between performance and overhead. This paper studies RIS-aided massive random access (RA) at the Medium Access Control (MAC) layer in cellular networks to enhance throughput. We introduce an opportunistic scheduling scheme that integrates multi-round access requests, subarray grouping for efficient RIS link acquisition, and multi-user data transmission. To optimize access request timing, RIS estimation overhead and throughput, we propose a multi-user RA strategy using sequential decision optimization to maximize average system throughput. A low-complexity algorithm is also developed for practical implementation. Both theoretical analysis and numerical simulations demonstrate that the proposed strategy significantly outperforms the extremes of full-array grouping and element-wise grouping. |
| title | Opportunistic Subarray Grouping for RIS-Aided Massive Random Access in Cellular Connectivity |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2503.17904 |