Simplified Performance Analysis of OWC System Over Atmospheric Turbulence with Pointing Error

TL;DR

This paper introduces simplified analytical expressions for evaluating the performance of optical wireless communication systems affected by atmospheric turbulence and pointing errors, using a three-parameter exponentiated Weibull model for more tractable analysis.

Contribution

It proposes a new analytical framework with simplified formulas for system performance under combined turbulence and pointing errors, replacing complex existing models.

Findings

Derived simplified performance expressions for ergodic rate and SNR.

Provided approximate formulas neglecting pointing errors for high SNR analysis.

Validated the accuracy of the expressions through numerical and simulation comparisons.

Abstract

Optical wireless communication (OWC) is highly vulnerable to the atmospheric turbulence and pointing error. Performance analysis of the OWC system under the combined channel effects of pointing errors and atmospheric turbulence is desirable for its efficient deployment. The widely used Gamma- Gamma statistical model for atmospheric turbulence, which consists of Bessel function, generally leads to complicated analytical expressions. In this paper, we consider the three-parameter exponentiated Weibull model for the atmospheric turbulence to analyze the ergodic rate and average signal-to-noise ratio (SNR) performance of a single-link OWC system. We derive simplified analytical expressions on the performance under the combined effect of atmospheric turbulence and pointing errors in terms of system parameters. We also derive approximate expressions on the performance under the atmospheric turbulence by considering negligible pointing error. In order to evaluate the performance at high SNR, we also develop asymptotic bounds on the average SNR and ergodic rate for the considered system. We demonstrate the tightness of derived expressions through numerical and simulation analysis along with a comparison to the performance obtained using the Gamma-Gamma model.