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Optimizing Beam Divergence to Mitigate Rain-induced Optical Attenuation in Mobile Free-space Optical Communication Systems
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- Authors
- Siwoong Park, Chan Il Yeo, Young Soon Heo, Hyoung-Jun Park
- Issue Date
- 2025-11
- Citation
- IEEE Transactions on Vehicular Technology, v.권호미정, pp.1-14
- ISSN
- 0018-9545
- Publisher
- IEEE
- Language
- English
- Type
- Journal Article
- Abstract
- This study presents a beam divergence optimization strategy to minimize rain-induced signal attenuation in free-space optical communication (FSOC) systems. FSOC technology holds considerable potential for providing high-data-transmission speeds and reliability in the communication era beyond 5G and 6G. However, it is highly vulnerable to extreme atmospheric conditions, such as rainfalls. The impact of beam divergence adjustment on FSOC system performance at varying rainfall rates was experimentally analyzed at a transmission distance of 100 m. Additionally, communication performance was evaluated based on simulations at various beam divergence angles and transmission distance scenarios. Furthermore, an adaptive beam divergence control algorithm based on reinforcement learning is proposed to enhance link stability by optimizing beam divergence in response to real-time weather changes. The experimental results and simulation analyses highlight the need for a balance between the optimization of the beam divergence angle to the mitigation of signal attenuation, ensuring the performance of the pointing, acquisition, and tracking system. The findings provide valuable insights for enabling stable communication under extreme weather conditions and contribute to the durability and scalability of next-generation wireless communication networks.
- KSP Keywords
- Beam divergence angle, Communication performance, Extreme weather conditions, Free space optical(FSO), Next-generation, Optimization strategy, Reinforcement learning(RL), Signal Attenuation, Simulation analyses, System performance, Tracking System