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Advancing OAM-Based FSO Systems: Tackling Pointing Errors for Next-Generation Space and Terrestrial Links

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submitted on 2025-11-04, 10:26 and posted on 2025-11-04, 10:35 authored by Mohammad Taghi Dabiri, Meysam Ghanbari, Mazen Hasna
<p dir="ltr">Orbital Angular Momentum (OAM)-based Free-Space Optical (FSO) communication systems offer immense potential for high-capacity, secure links, but their performance is highly sensitive to pointing errors. This paper provides a comprehensive analysis of OAM systems under pointing inaccuracies for both short-range terrestrial links and long-range inter-satellite communications. For short links, we demonstrate the trade-offs between increasing modulation order and the number of OAM modes, highlighting the potential of low-complexity two-stage detectors to mitigate computational overhead while maintaining robust performance. For inter-satellite links, where severe pointing errors dominate, we propose an innovative asymmetric mode design and optimal beam waist adjustment to enhance robustness against angular misalignments. Simulation results reveal critical insights into the interplay between pointing error intensity, mode selection, and system performance, offering practical guidelines for OAM system design in diverse scenarios. This work bridges the gap between theoretical modeling and real-world implementation, paving the way for reliable OAM-based communication in next-generation terrestrial and space networks.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Photonics Journal<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/jphot.2025.3575365" target="_blank">https://dx.doi.org/10.1109/jphot.2025.3575365</a></p>

Funding

Open Access funding provided by the Qatar National Library.

Qatar National Research Fund (NPRP14C-0909-210008), ReSolVE (Resilient Solutions for Vulnerabilities and Emergencies): An Effective National Risk Management Plan for Qatar.

History

Language

  • English

Publisher

IEEE

Publication Year

  • 2025

License statement

This Item is licensed under the Creative Commons Attribution 4.0 International License.

Institution affiliated with

  • Qatar University
  • College of Engineering - QU
  • Hamad Bin Khalifa University
  • College of Science and Engineering - HBKU