FSO Communication Parameters in Multi-User Systems under Variable Fog Conditions

This dataset comprises 3,000 data points collected from an advanced Free Space Optical (FSO) communication system designed for both SISO and MIMO configurations. The dataset captures key communication parameters, including range, Received Optical Power (ROP), Quality Factor (Q-factor), and Bit Error Rate (BER), under diverse fog conditions—Light Fog (LF), Medium Fog (MF), and Heavy Fog (HF). Each configuration (LF MIMO, HF MIMO, MF MIMO, LF SISO, HF SISO, MF SISO) is represented by 500 data points, offering a balanced distribution across the various scenarios. The dataset is structured to support research on predictive modeling, handover optimization, and performance analysis in FSO networks. It has been preprocessed using a Min-Max normalization technique to ensure uniform scaling, making it ideal for machine learning applications such as regression and classification tasks. Detailed statistical summaries (mean, standard deviation, quartile ranges) and data distribution plots accompany the dataset, facilitating immediate use and benchmarking in studies of wireless communication performance under adverse atmospheric conditions. Researchers can utilize this dataset to explore correlations between environmental factors and communication performance, develop adaptive handover strategies, and enhance overall FSO network reliability and efficiency. For further details and access, please contact the corresponding author.本数据集包含3000个数据样本，采集自一款同时支持单输入单输出（Single-Input Single-Output, SISO）与多输入多输出（Multiple-Input Multiple-Output, MIMO）配置的先进自由空间光通信系统（Free Space Optical, FSO）。该数据集采集了轻雾（Light Fog, LF）、中雾（Medium Fog, MF）与浓雾（Heavy Fog, HF）三类不同大雾场景下的核心通信参数，涵盖传输距离、接收光功率（Received Optical Power, ROP）、品质因数（Quality Factor, Q-factor）及误比特率（Bit Error Rate, BER）。六种配置场景（LF MIMO、HF MIMO、MF MIMO、LF SISO、HF SISO、MF SISO）各对应500个数据样本，实现了各测试场景的数据分布均衡。 本数据集的构建旨在支撑自由空间光通信网络中的预测建模、切换优化与性能分析相关研究。数据集已通过最小-最大归一化技术完成预处理，实现了特征的统一缩放，非常适用于回归与分类等机器学习任务。本数据集附带详细的统计汇总信息（均值、标准差、四分位距）与数据分布可视化图表，可助力恶劣大气条件下无线通信性能相关研究的快速开展与基准测试。 研究人员可借助本数据集探究环境因素与通信性能间的关联机制，开发自适应切换策略，并提升自由空间光通信网络的整体可靠性与运行效率。如需获取更多细节或数据集访问权限，请联系通讯作者。