Optimisation Feedback in an NDT

Dataset generated by the “what-if” Manager and CI/CD rApps containing results from simulated optimisation scenarios. It includes recommended network configurations, predicted KPI improvements (e.g., coverage, throughput, energy savings), and comparisons between NDT predictions and real network measurements. These datasets support the continuous validation and refinement of AI/ML models used for network reconfiguration.本数据集由假设分析管理器（what-if Manager）与持续集成/持续部署（CI/CD）运行时应用（rApps）生成，涵盖各类仿真优化场景的运行结果。其包含推荐网络配置方案、关键性能指标（KPI）的预测提升效果（如覆盖率、吞吐量、节能效果），以及网络检测（NDT）预测结果与实际网络测量值的对比分析。此类数据集可支撑面向网络重构的人工智能/机器学习（AI/ML）模型的持续验证与精细化优化。