Cascaded Composite Turbulence and Misalignment: Statistical Characterization and Applications to Reconfigurable Intelligent Surface-Empowered Wireless Systems


It is anticipated that high-frequency wireless systems that are empowered by reconfigurable intelligent surfaces (RISs) will become the supporting pillar for a number of applications that have a high demand for reliability and data rate. These types of systems, on the other hand, are extremely sensitive to misalignment as well as atmospheric phenomena, such as turbulence. The majority of the currently available studies that evaluate the performance of RIS-enabled wireless systems ignore the impact that the phenomena mentioned above can have. This serves as the impetus for the current contribution, which consists of the presentation of a theoretical framework for statistically characterizing cascaded composite turbulence and misalignment channels. We present the probability density and cumulative distribution functions for the cascaded composite turbulence and misalignment channels, to be more specific. In order to demonstrate the applicability and importance of the extracted framework in various use cases of interest, we present novel closed-form formulas that quantify the joint impact of turbulence and misalignment on the outage performance for two scenarios. These scenarios are cascaded multi-RIS-enabled free space optics (FSO) and terahertz (THz) wireless systems. Building upon the derived analytical expressions, we present these formulas in order to demonstrate the applicability and importance of the The diversity order is determined for the scenarios that have been presented so far. In addition, we provide an insightful upper-bound for the outage probability of a third scenario that takes into consideration parallel multi-RIS-enabled FSO systems. This scenario's focus is on fault tolerance. When it comes to evaluating the efficiency of the system, the results that were obtained highlight how important it is to accurately model both turbulence and misalignment.

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