Abstract:
Reconfigurable intelligent surfaces (RISs)-enabled high-frequency wireless systems will support reliability and data rate-hungry applications. However, misalignment and turbulence affect such systems.
Most performance assessments of RIS-empowered wireless systems ignore these phenomena. This motivates the current contribution, a theoretical framework for statistically characterizing cascaded composite turbulence and misalignment channels.
We present probability density and cumulative distribution functions for cascaded composite turbulence and misalignment channels. We present novel closed-form formulas that quantify the joint impact of turbulence and misalignment on outage performance for two scenarios: cascaded multi-RIS-empowered free space optics (FSO) and terahertz (THz) wireless systems.
Diversity order is extracted from the scenarios. In a third scenario, parallel multi-RIS-empowered FSO systems, we provide an insightful outage probability upper-bound. Results show the importance of accurately modeling turbulence and misalignment when assessing system performance.
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