Abstract
This paper investigates the second-order statistics of the level crossing rate (LCR) and average fade duration (AFD) for the optical wireless channels between a satellite and a vehicle. Specifically, the novel expressions of LCR and AFD for the low earth orbit (LEO) satellite-to-unmanned aerial vehicles (UAVs) laser links are derived in the presence of the generalized misalignments caused by the satellite vibration together with the UAV hovering, which is modeled by a four-parameter Beckmann distribution, and the atmospheric turbulence conditions. The analysis can also be applied to other kinds of vehicles, which, in fact, require simpler channel models. Several numerical examples are presented to quantitatively demonstrate the impact of both atmospheric turbulence and pointing errors on the LCR and AFD. The Monte Carlo simulations are performed to validate the correctness of the theoretical derivations.
Highlights
The ever-growing demand for reliable high-speed connections has become the major challenge for the design of the fifth-generation (5G) and beyond wireless communication networks [1]
This paper investigates the second-order statistics of the level crossing rate (LCR) and average fade duration (AFD) for the optical wireless channels between a satellite and a vehicle
The novel expressions of LCR and AFD for the low earth orbit (LEO) satellite-to-unmanned aerial vehicles (UAVs) laser links are derived in the presence of the generalized misalignments caused by the satellite vibration together with the UAV hovering, which is modeled by a four-parameter Beckmann distribution, and the atmospheric turbulence conditions
Summary
The ever-growing demand for reliable high-speed connections has become the major challenge for the design of the fifth-generation (5G) and beyond wireless communication networks [1]. Studying statistical aspects of these adverse issues and understanding their impacts on the communication channels play an important role in the system design and performance optimization. In the past few years, there have been many studies focusing on the analysis of first-order statistics of FSO channels, including the probability density function (PDF) and cumulative distribution function (CDF). These statistics can be used to obtain the static performance metrics
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