A Novel CSI-RS Reporting Scheme for RIS Optimization in O-RAN-based NextG Networks
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arXiv
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| Autores principales: | , , , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| _version_ | 1866910148441669632 |
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| author | Sahin, Ali Fuat Kayraklik, Sefa Gorcin, Ali Hokelek, Ibrahim Basar, Ertugrul Yanikomeroglu, Halim |
| author_facet | Sahin, Ali Fuat Kayraklik, Sefa Gorcin, Ali Hokelek, Ibrahim Basar, Ertugrul Yanikomeroglu, Halim |
| contents | Reconfigurable intelligent surface (RIS) technology is a promising enabler for next-generation (NextG) wireless systems, capable of dynamically shaping the propagation environment. Integrating RIS within the open radio access network (O-RAN) architecture enables flexible and intelligent control of wireless links. However, practical RIS-assisted operation requires efficient acquisition and reporting of channel state information (CSI) to support real-time control from the base station side. This paper proposes a CSI reference signal (CSI-RS)-based reporting scheme for downlink complex channel information (CCI) to facilitate RIS optimization in an O-RAN-compliant environment. The proposed framework establishing CCI extraction and CSI-RS reporting procedures is experimentally validated on a real-world testbed integrating an open-source O-RAN system with an RIS prototype operating in the n78 frequency band. Existing channel estimation-based RIS optimization algorithms, including Hadamard and orthogonal matching pursuit (OMP), are tailored for integration into the O-RAN architecture. Experimental results demonstrate notable improvements in received signal power for both near and far users, highlighting the effectiveness and practical viability of the proposed scheme. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_17938 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | A Novel CSI-RS Reporting Scheme for RIS Optimization in O-RAN-based NextG Networks Sahin, Ali Fuat Kayraklik, Sefa Gorcin, Ali Hokelek, Ibrahim Basar, Ertugrul Yanikomeroglu, Halim Signal Processing Reconfigurable intelligent surface (RIS) technology is a promising enabler for next-generation (NextG) wireless systems, capable of dynamically shaping the propagation environment. Integrating RIS within the open radio access network (O-RAN) architecture enables flexible and intelligent control of wireless links. However, practical RIS-assisted operation requires efficient acquisition and reporting of channel state information (CSI) to support real-time control from the base station side. This paper proposes a CSI reference signal (CSI-RS)-based reporting scheme for downlink complex channel information (CCI) to facilitate RIS optimization in an O-RAN-compliant environment. The proposed framework establishing CCI extraction and CSI-RS reporting procedures is experimentally validated on a real-world testbed integrating an open-source O-RAN system with an RIS prototype operating in the n78 frequency band. Existing channel estimation-based RIS optimization algorithms, including Hadamard and orthogonal matching pursuit (OMP), are tailored for integration into the O-RAN architecture. Experimental results demonstrate notable improvements in received signal power for both near and far users, highlighting the effectiveness and practical viability of the proposed scheme. |
| title | A Novel CSI-RS Reporting Scheme for RIS Optimization in O-RAN-based NextG Networks |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2604.17938 |