🤖 AI Summary
This study systematically compares the achievable rate performance of dual-polarized reconfigurable intelligent surfaces (RIS) and dual-polarized network-controlled repeaters (NCR) in point-to-point wireless links, addressing their relative suitability across diverse deployment scenarios. By establishing a unified analytical framework that integrates random matrix theory and channel modeling, the authors derive closed-form expressions for achievable rates and optimize both single-stream and dual-stream transmission strategies for the NCR. The analysis reveals, for the first time, the critical roles of array size, link distance, and amplification capability in determining the preferred technology: RIS outperforms NCR in short-range scenarios with large arrays, whereas NCR’s active amplification renders it more advantageous for long-range communications.
📝 Abstract
We study the achievable rate performance of dual-polarized passive reconfigurable intelligent surfaces (RISs) and dual-polarized network-controlled repeaters (NCRs) in a point-to-point wireless link. While RISs rely on passive beamforming with large array gains, NCRs exploit active amplification across polarization branches. We develop a unified analytical framework that captures the impact of amplification, noise propagation, and deployment geometry under different power-budget models. Closed-form rate expressions are derived, and the optimal one-stream and two-stream transmission strategies for NCRs are characterized. The results reveal that RISs are competitive in short-range scenarios and benefit from large array sizes, whereas NCRs become preferable in long-range deployments due to their ability to compensate for pathloss through amplification.