Artificial Intelligence--Based Data Path Control in LEO
Satellites--Driven Optical Communications
- Andrea Wrona,
- Andrea Tantucci
Andrea Wrona
Universita degli Studi di Roma La Sapienza Dipartimento di Ingegneria informatica automatica e gestionale
Corresponding Author:wrona@diag.uniroma1.it
Author ProfileAndrea Tantucci
Universita degli Studi di Roma La Sapienza Dipartimento di Ingegneria informatica automatica e gestionale
Author ProfileAbstract
Free Space Optical Communication has emerged as a promising technology
for high-speed and secure data transmission between ground stations on
Earth and orbiting satellites. However, this communication technology
suffers from signal attenuation due to atmospheric turbulence and beam
alignment precision. Low Earth Orbit satellites play a pivotal role in
optical communication due to their low altitude over the Earth surface,
which mitigates the atmospheric precipitation effects. This paper
introduces a novel data path control law for satellite optical
communication exploiting Artificial Intelligence-based predictive
weather forecasting and a node selection mechanism based on
Reinforcement Learning. Extensive simulations on three case studies
demonstrate that the proposed control technique achieves remarkable
gains in terms of link availability with respect to other
state-of-the-art solutions.16 Oct 2023Submitted to International Journal of Satellite Communications and Networking 16 Oct 2023Submission Checks Completed
16 Oct 2023Assigned to Editor
19 Oct 2023Reviewer(s) Assigned
09 May 20241st Revision Received
10 May 2024Submission Checks Completed
10 May 2024Assigned to Editor