Optical Wireless Communication in Atmosphere and Underwater

Statistical Models, Improvement Techniques, and Recent Applications

Journal Article (2026)
Author(s)

Yalcin Ata (SCOPT Inc., OSTİM Technical University)

Farah Mahdi Al-Sallami (University of Leeds)

Muhsin Caner Gokce (TED University (TEDU), TU Delft - Space Systems Egineering)

Anna Maria Vegni (University of Roma Tre)

Sujan Rajbhandari (University of Strathclyde)

Yahya Baykal (Çankaya University)

DOI related publication
https://doi.org/10.1109/COMST.2025.3649735 Final published version
More Info
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Publication Year
2026
Language
English
Journal title
IEEE Communications Surveys and Tutorials
Volume number
28
Pages (from-to)
4248-4284
Downloads counter
46
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Abstract

Optical Wireless Communication Systems (OWCSs) are becoming more popular each day, especially after numerous mobile applications are being employed within the concept of Internet of Things (IoT). OWCSs are largely used in both terrestrial and non-terrestrial environments, like underwater, air, and space scenarios. Due to the large applicability of OWCS, it represents one of the main candidate technologies for the future 6G wireless communication systems. Naturally, this market trend forces the system designers to reach the best performance in their designs, as well as optimize the cost. In this survey paper, we intend to provide information to the researchers working in this field on the statistical models adopted in OWCS, the methods and techniques used to improve their performances, mainly in outdoor environment like air, space, and underwater. In this respect, the background on theoretical aspects of OWCS, together with their benefits, limitations and challenges are presented. Performance improvement techniques employed in OWCSs, such as power increase, partial coherence, beamforming, aperture averaging, spatial diversity, and intelligent reflecting surfaces, are also introduced. Finally, we discuss the open challenges that researchers are still facing, together with future directions on next steps for a large-scale adoption of OWCS.