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Free Space Optics, or simply FSO, is an innovator optical communication technology that develops from the basic property of light to travel in free space and enables free-space line-of-sight wireless communication. With this technology-assured safe transmission, large bandwidth, and speed, it surely justifies positioning itself as one of the promising services to integrate into upcoming 6G networks. However, practically, the climatic conditions-precipitation, temperature fluctuation, snow, fog, and other forms of atmospheric disturbance-affect the performance of FSO systems terribly. This paper is presenting an approach to optimizing the divergence angle for FSO systems using PSO. In this regard, PSO is a very effective artificial intelligence-based technique of managing complexity while adapting dynamically for alteration, hence it can enormously enhance the performance of FSO. The proposed method meets the enhanced performance requirements of 6G networks in the future by increasing the efficiency and reliability of data transfer in FSO systems through optimization of this critical parameter. Faster and more reliable connectivity is needed for the next-generation wireless system.

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PSO-Based Optimization Techniques for 6G FSO Communication Systems

  • 会议论文

  • 发表日期：

    2026年

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  • Oumaima Allaoua,
  • Hanane Djellab,
  • Yacine Belhocine,
  • Fouzia Maamri,
  • Riad Saidi,
  • Farouk Boumehrez

摘要

Free Space Optics, or simply FSO, is an innovator optical communication technology that develops from the basic property of light to travel in free space and enables free-space line-of-sight wireless communication. With this technology-assured safe transmission, large bandwidth, and speed, it surely justifies positioning itself as one of the promising services to integrate into upcoming 6G networks. However, practically, the climatic conditions-precipitation, temperature fluctuation, snow, fog, and other forms of atmospheric disturbance-affect the performance of FSO systems terribly. This paper is presenting an approach to optimizing the divergence angle for FSO systems using PSO. In this regard, PSO is a very effective artificial intelligence-based technique of managing complexity while adapting dynamically for alteration, hence it can enormously enhance the performance of FSO. The proposed method meets the enhanced performance requirements of 6G networks in the future by increasing the efficiency and reliability of data transfer in FSO systems through optimization of this critical parameter. Faster and more reliable connectivity is needed for the next-generation wireless system.