Massive MIMO Channel State Information (CSI) Dataset for Next-Generation Networks Research
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This dataset contains a comprehensive collection of Massive MIMO Channel State Information (CSI) data designed for advanced Artificial Intelligence/Machine Learning (AI/ML) research in next-generation networks (5G and beyond). Key features: Covers stationary, high-speed mobility, and urban macrocell scenarios. Includes 3GPP-based channel profiles with noise and Doppler effects. Facilitates research in anomaly detection, scenario classification, and CSI prediction using ML/DL models.
本数据集收录了大规模多输入多输出(Massive MIMO)信道状态信息(CSI)的综合集合,专为下一代移动通信网络(5G及后续演进网络)中的前沿人工智能/机器学习(AI/ML)研究而设计。 核心特性: - 覆盖静态、高速移动以及城市宏蜂窝三大场景; - 包含基于第三代合作伙伴计划(3GPP)的信道概貌,并集成了噪声与多普勒效应; - 可支撑基于机器学习/深度学习(ML/DL)模型开展异常检测、场景分类及信道状态信息预测等相关研究。
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Zenodo创建时间:
2024-12-25



