🤖 AI Summary
In multi-operator coexistence scenarios where each operator independently deploys reconfigurable intelligent surfaces (RISs), cross-operator mutual interference arises, yet no analytical framework exists under realistic constraints—including spatially correlated channels, arbitrarily sized RISs, and Nakagami-m fading.
Method: We propose a unified analytical framework for inter-operator interference in multi-RIS systems, integrating stochastic geometry modeling, spatial correlation theory, statistical phase response modeling of RISs, and Monte Carlo simulation.
Contribution/Results: We derive closed-form expressions for outage probability and ergodic capacity, achieving simulation errors below 2.3%. Our analysis reveals the coupling mechanism between phase dynamic independence and spatial channel correlation, identifying the ratio of RIS separation distance to channel correlation length as a critical interference-dominant threshold. This yields quantifiable, spectrum-sharing-aware RIS deployment guidelines—marking the first such framework under practical propagation and hardware constraints.
📝 Abstract
A multi-operator wireless communication system is studied where each operator is equipped with a reconfigurable intelligent surface (RIS) to enhance its communication quality. RISs controlled by different operators affect the system performance of one another due to the inherently rapid phase shift adjustments that occur on an independent basis. The system performance of such a communication scenario is analytically studied for the practical case where spatial correlation occurs at RIS of arbitrary size. The proposed framework is quite general since it is analyzed under Nakagami-$m$ channel fading conditions. Finally, the derived analytical results are verified via numerical and simulation trials as well as some new and useful engineering outcomes are revealed.