Wireless base station data traffic prediction method and device

The invention provides a wireless base station data traffic prediction method and device, and the method comprises the steps: inputting the intra-base station traffic characteristics and inter-base station traffic characteristics corresponding to a to-be-predicted base station into a wireless base station data traffic prediction model which is established in advance based on a sparse fuzzy cognitive map, and obtaining an output to-be-predicted base station traffic prediction value, wherein the in-base-station flow characteristics are in-base-station flows of a to-be-predicted base station and a base station adjacent to the to-be-predicted base station, and the inter-base-station flow characteristics are inter-base-station flows between the to-be-predicted base station and the base station adjacent to the to-be-predicted base station. 本公开提供了一种无线基站数据流量预测方法和设备，包括：将待预测的基站对应的基站内流量特征及基站间流量特征输入预先基于稀疏模糊认知图建立的无线基站数据流量预测模型，获取输出的待预测的基站流量预测值；其中，所述基站内流量特征为待预测的基站及与待预测的基站相邻基站的基站内流量，所述基站间流量特征为待预测的基站与待预测的基站相邻基站之间的基站间流量。