Interference Mitigation in STAR-RIS-Aided Multi-User Networks with Statistical CSI
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| Main Authors: | , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866913895500742656 |
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| author | Adam, Abuzar B. M. Elhassan, Mohammed A. M. Diallo, Elhadj Moustapha Ouamri, Mohamed Amine |
| author_facet | Adam, Abuzar B. M. Elhassan, Mohammed A. M. Diallo, Elhadj Moustapha Ouamri, Mohamed Amine |
| contents | In this paper, we investigate real-time interference mitigation in multiuser wireless networks assisted by simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs). Unlike conventional methods that rely on instantaneous channel state information (CSI), we consider a practical scenario where only statistical CSI is available, and the STAR-RIS phase shifts are impaired by random phase errors modeled via the Von Mises distribution. To tackle the resulting nonconvex optimization problem induced by unit-modulus constraints and stochastic interference, we derive a closed-form approximation of the effective channel matrix using statistical expectations. We then reformulate the interference minimization problem as an unconstrained optimization over a Riemannian manifold and propose a conjugate gradient algorithm tailored to the complex circle manifold. The proposed solution enables efficient real-time computation of optimal phase shifts while accounting for hardware imperfections and limited CSI. Simulation results confirm that our method significantly suppresses inter-user interference and achieves superior SINR performance and convergence speed compared to conventional baselines. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_12964 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Interference Mitigation in STAR-RIS-Aided Multi-User Networks with Statistical CSI Adam, Abuzar B. M. Elhassan, Mohammed A. M. Diallo, Elhadj Moustapha Ouamri, Mohamed Amine Signal Processing In this paper, we investigate real-time interference mitigation in multiuser wireless networks assisted by simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs). Unlike conventional methods that rely on instantaneous channel state information (CSI), we consider a practical scenario where only statistical CSI is available, and the STAR-RIS phase shifts are impaired by random phase errors modeled via the Von Mises distribution. To tackle the resulting nonconvex optimization problem induced by unit-modulus constraints and stochastic interference, we derive a closed-form approximation of the effective channel matrix using statistical expectations. We then reformulate the interference minimization problem as an unconstrained optimization over a Riemannian manifold and propose a conjugate gradient algorithm tailored to the complex circle manifold. The proposed solution enables efficient real-time computation of optimal phase shifts while accounting for hardware imperfections and limited CSI. Simulation results confirm that our method significantly suppresses inter-user interference and achieves superior SINR performance and convergence speed compared to conventional baselines. |
| title | Interference Mitigation in STAR-RIS-Aided Multi-User Networks with Statistical CSI |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2506.12964 |