Page 391 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

3 Use Case Requirements

• REQ-01: It is critical that the system supports AI-assisted optical beam tracking and
alignment to maintain communication stability under environmental disruptions.
• REQ-02: It is expected that the solution enables real-time adaptive modulation switching 4.3 - 5G
to dynamically respond to changing transmission conditions.
• REQ-03: It is critical that atmospheric turbulence models are integrated as input to
optimize system performance and predict signal degradation scenarios.
• REQ-04: It is expected that the optical hardware and receivers are embedded with AI
modules to enable intelligent, on-device processing and decision-making.
• REQ-05: It is of added value that the system includes a simulation and testing platform,
such as MATLAB Simulink, to validate performance under various operational scenarios.

4 Sequence Diagram

5 References

[1] Bahaa E. A. Saleh and Malvin Carl Teich, Fundamentals of Photonics, 3rd ed. (Hoboken,
NJ: Wiley, 2019).
[2] International Telecommunication Union Telecommunication Standardization Sector
(ITU-T), ITU-T FSO Recommendations (Geneva: ITU-T).
[3] "IEEE Papers on ML in Optical Systems," IEEE Xplore.
[4] "TMA Datasets for Atmospheric Analysis," [Publisher/Organization responsible for TMA
datasets].
[5] National Aeronautics and Space Administration (NASA), "NASA Earthdata," accessed
June 24, 2025, https:// earthdata .nasa .gov/ .
[6] National Oceanic and Atmospheric Administration (NOAA), "NOAA Climate Data,"
National Centers for Environmental Information (NCEI), accessed June 24, 2025, https://
www .ncei .noaa .gov/ .
[7] MathWorks, "MATLAB Documentation for Optical Systems," MATLAB.

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